CN105286783A - Sleep evaluation device - Google Patents
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- CN105286783A CN105286783A CN201510004781.6A CN201510004781A CN105286783A CN 105286783 A CN105286783 A CN 105286783A CN 201510004781 A CN201510004781 A CN 201510004781A CN 105286783 A CN105286783 A CN 105286783A
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Abstract
The present invention provides a sleep evaluation device which is capable of accurately evaluating sleep quality through a simple method and prompt an exact sleep suggest. The sleep evaluation device (X) comprises: a sleep state determination part (1) configured to determine people's sleep state during the sleep time from going to bed and getting out of bed on the basis of people's organism information; a sleep interval setting part (2) configured to divide the sleep interval into at least two sections; a sleep index setting part (3) configured to set at least one sleep index according to each divided interval of the sleep interval setting part (2); a sleep index generation part (4) configured to generate each sleep index set by the sleep index setting part (3) on the basis of the determination result of the sleep state determination part (1); a sleep evaluation value operation part (61) configured to operate a sleep evaluation value of each interval according to the generated sleep index of the sleep index generation part (4); and a sleep evaluation part (7) configured to evaluate people's sleep according to each interval on the basis of the sleep evaluation value.
Description
Technical field
The present invention relates to the sleep evaluation device of the sleep of appraiser.
Background technology
The known Biont information based on people in the past, result of determination according to the sleep state (/ shallow sleep/deep sleep of reviving) of people generates multiple sleep indexs such as Sleep latency, uses these sleep indexs to carry out the above-mentioned sleep evaluation device (such as with reference to patent documentation 1-2) of the sleep quality of appraiser.
The sleep evaluation device of patent documentation 1 constructs data base, the reference value of each sleep index that this data base have accumulated the Biont information according to normal person and generates; Calculate relative to the meansigma methods of the reference value of data base and standard deviation and the deviate of each Sleep Evaluation value generated, evaluate sleep quality based on this deviate.In addition, according to total sleep time, with or without dark nonrapid eye movements,sleep etc., sleep is selected to advise and be shown in picture.
The sleep evaluation device of patent documentation 2 is carried out principal component analysis and generates multiple 2nd parameter multiple Sleep Evaluation value (being the 1st parameter in the literature), by the sleep total score that the Zhi Xiang Calais that each 2nd parameter is multiplied by the coefficient gained of regulation calculates a day.In addition, this sleep mark is compared with the 2nd reference value with the 1st reference value of regulation, divided by sleep quality 3 ranks to be shown in picture.
prior art document
patent documentation
Patent documentation 1: JP 2007-319238 publication
Patent documentation 2: JP 2008-301951 publication
Summary of the invention
the problem that invention will solve
But the length of one's sleep, the sleep cycle of a Dinner are varied because of sex, age etc.That is, as the device of patent documentation 1, the reference value of making comparisons with Sleep Evaluation value is being accumulated in formation in a database in advance, in the evaluation precision improving sleep, needing to accumulate huge data volume.In addition, owing to selecting sleep suggestion according to total sleep time etc., therefore, there is the problem people fixing (such as 8 hours) length of one's sleep of every day being provided to every day such as identical suggestion etc.Therefore, at accurate evaluation sleep quality, point out the leeway be improved in definite sleep suggestion.
Further, the device of patent documentation 2 only always assigns to evaluate and point out sleep quality according to sleep, and therefore, user is difficult to the method understanding sleep improvement.And the method calculating sleep mark is complicated, and computational load can increase.
, the object of the invention is to for this reason, the sleep evaluation device can carried out accurate evaluation sleep quality by easy method, point out definite sleep suggestion is provided.
for the scheme of dealing with problems
The structural feature of sleep evaluation device involved in the present invention is to possess: sleep state detection unit, and it is based on the Biont information of people, the sleep state of the above-mentioned people between the sleep period judging to leave the bed from going to bed to; Sleep interval configuration part, it will at least be divided into two intervals between above-mentioned sleep period; Sleep target setting portion, its each above-mentioned interval split by above-mentioned sleep interval configuration part, at least sets a sleep index; Sleep index generating unit, it is based on the result of determination of above-mentioned sleep state detection unit, generates each the above-mentioned sleep index set by above-mentioned sleep target setting portion; Sleep Evaluation value operational part, its above-mentioned sleep index using above-mentioned sleep index generating unit to generate, by each above-mentioned interval arithmetic Sleep Evaluation value; And Sleep Evaluation portion, it is based on above-mentioned Sleep Evaluation value, by the sleep of the above-mentioned people of each above-mentioned interval assessment.
In this formation, move information to judge according to the body of the people between the sleep period leaving the bed from going to bed to revive, shallow sleep, the sleep state such as deep sleep.At this moment, by judge to be divided between the sleep period after sleep state such as fall asleep before, first half of sleeping, sleep later half, leave the bed before, multiple interval such as sleep is overall.Then, preclinical sleep index etc. of falling asleep is set for hypnagogic interval, sets optimal sleep index by each interval of segmentation.
Then, based on dormant result of determination, by each interval between sleep period generate necessary incubation period of falling asleep, night wake up operations, hypohyphnotic total time, deep sleep the sleep index such as total time.Further, the mathematical formulae sleep index of generation being substituted into regulation carrys out computing Sleep Evaluation value.Then, based on this Sleep Evaluation value, as evaluated the sleep power of sleep first half, by the sleep of each interval assessment people.
As long as segmented by sleep cycle like this, by the optimal sleep index of each interval selection, the evaluation precision of sleep just can be improved.That is, as compared to the formation of carrying out Sleep Evaluation of as in the past, Sleep Evaluation value and the meansigma methods of sampled data being compared, in the method setting optimal sleep index union Sleep Evaluation value as this formation by each interval, the impact that different people is inclined in the sleep accumulated in a database can not be subject to.In addition, in this formation, improve evaluation precision with can not performing in the past such principal component analysis, therefore operation method is easy.Further, be the sleep carrying out appraiser by each interval, therefore, it is possible to it is low to make user understand the sleep power in which interval understandablely.
Another feature formation is to possess Sleep Evaluation value correction unit, and above-mentioned Sleep Evaluation value correction unit carries out the correction corresponding to the length between above-mentioned sleep period to above-mentioned Sleep Evaluation value.
As long as added up to by the above-mentioned sleep mark (Sleep Evaluation value) by each interval assessment, the sleep total score of a day just can be calculated.On the other hand, although likely exist the length of one's sleep short fall asleep before the situation of easily falling asleep etc. and improve sleep total score in result.But, by carrying out the correction corresponding to the length between sleep period to Sleep Evaluation value as this formation, thus, in the situations such as the length of one's sleep is short, sleep can be always divided into suitable value.Therefore, improve evaluation precision further and become possibility.
Another feature formation is to possess: Sleep Evaluation value storage part, and it stores above-mentioned Sleep Evaluation value; Suggestion reservoir, it stores the multiple sleep suggestions to above-mentioned people; Suggestion selection portion, it selects above-mentioned sleep to advise according to the evaluation result that above-mentioned Sleep Evaluation portion evaluates; And suggestion display part, above-mentioned sleep suggestion is shown in picture by it, and above-mentioned Sleep Evaluation portion evaluates the sleep of above-mentioned people based on the difference of this above-mentioned Sleep Evaluation value and the above-mentioned Sleep Evaluation value of last time that are stored in above-mentioned Sleep Evaluation value storage part.
In this formation, user can be seen sleep suggestion thus know sleep improvement method.The people that such as WA is felt blue and the low people of the so-called power of getting up can by seeing that " draw the curtain apart and sleep " such sleep is advised and carries out improving thus improving the power of getting up.Consequently, relative to the Sleep Evaluation value of last time, this Sleep Evaluation value becomes large, and power of therefore getting up rises.On the other hand, can expect, be pulled open by curtain too much, result can make more light enter eyes, the sleep power of sleeping later half and so-called complete dormancy power step-down.In this case, relative to the Sleep Evaluation value of last time, this Sleep Evaluation value diminishes, and therefore, selects the sleep suggestion having improved dormancy power.Like this, carry out the sleep of appraiser based on the Sleep Evaluation value of last time and the difference of this Sleep Evaluation value, thus, the definite sleep suggestion corresponding to situation can be pointed out.
Another feature formation is, above-mentioned Sleep Evaluation portion possesses multiple evaluation model in the sleep evaluating above-mentioned people, adds up to the value of gained to determine above-mentioned evaluation model according to the above-mentioned Sleep Evaluation value in all intervals by last time.
Very high and do not need the people pointing out sleep suggestion for sleep power, be not suitable for carrying out advising same suggestion with the sleep for the low people of sleep power.In this formation, prepare the multiple evaluation models corresponding to the degree of sleep power, use the Sleep Evaluation aggregate value of last time to determine evaluation model.That is, use this Sleep Evaluation value evaluate sleep before stage, evaluation model be distinguished.Therefore, it is possible to carry out Sleep Evaluation according to predetermined evaluation model, therefore, it is possible to the definite suggestion that prompting is corresponding to the sleep power of user.
Another feature formation is, above-mentioned suggestion selection portion selects the above-mentioned sleep corresponding with the living habit of above-mentioned people to advise.
In this formation, select the sleep corresponding with the living habit of people to advise, therefore, the people of the living habit of such as not drinking can not select that " control is drunk." etc. sleep suggestion.Therefore, it is possible to the suggestion more definite to user prompting.
Accompanying drawing explanation
Fig. 1 is the block diagram of the formation of the sleep evaluation device schematically shown involved by present embodiment.
Fig. 2 is the figure of the example of the relation that the continuous length of one's sleep and sleep cumulative time are shown.
Fig. 3 is the figure of the example illustrated being divided into multiple interval between sleep period.
Fig. 4 is the flow chart that the process determining evaluation model is shown.
Fig. 5 is the flow chart of the Sleep Evaluation in high praise type.
Fig. 6 is the flow chart of the Sleep Evaluation in middle evaluation type.
Fig. 7 is the flow chart of the Sleep Evaluation in low evaluation type.
Fig. 8 is the figure of the indication example that Sleep Evaluation result is shown.
description of reference numerals
1 sleep state detection unit
2 sleep interval configuration parts
3 sleep target setting portions
4 sleep index generating units
61 Sleep Evaluation value operational parts
62 Sleep Evaluation value correction units
7 Sleep Evaluation portions
71 Sleep Evaluation value storage parts
81 suggestion reservoir
82 suggestion selection portions
92 suggestion display parts
X sleep evaluation device
Detailed description of the invention
Below, the embodiment of sleep evaluation device X involved in the present invention is described based on accompanying drawing.In the present embodiment, with an artificial example of sleeping on bed so that sleep evaluation device X to be described.But, be not limited to following embodiment, all distortion can be carried out in the scope not departing from its purport.
Block diagram shown in Figure 1, this block diagram schematically shows the formation of the sleep evaluation device X involved by present embodiment.As shown in Figure 1, sleep evaluation device X possesses following function part and forms: sleep state detection unit 1, sleep interval configuration part 2, sleep target setting portion 3, sleep index generating unit 4, Sleep Evaluation value operational part 61, Sleep Evaluation value correction unit 62, Sleep Evaluation portion 7, sleep suggestion portion 8, display part 9.Each function part take CPU as core component, and in order to carry out all process of the sleep quality of the people evaluated on bed, above-mentioned function part is by hardware or software or construct both this.
[sleep state detection unit]
Sleep state detection unit 1 possesses: load sensor 11, body move value operational part 12, body moves detection unit 13, detection unit 15 is revived in body dynamic number calculating section 14, sleep, the length of one's sleep operational part 16, state detection unit 17, relational storage portion 18, update section 19.
In the present embodiment, as the bed that people go to bed, be described for bed 10.Bed 10 possesses and is formed with lower part: mattress 10A; Abutment portion 10B, it loads this mattress 10A; And foot 10C, it is as the support portion relative to ground supports abutment portion 10B.
Load sensor 11 is set between abutment portion 10B and foot 10C.Load sensor 11 is examples for the test section that the body of the people detected on bed 10 moves.In the present embodiment, load sensor 11 is disposed between the back side of abutment portion 10B and four foot 10C of bed 10.Therefore, in the present embodiment, four load sensors 11 are provided with.The testing result of four load sensors 11 is passed to the dynamic value operational part 12 of body as the signal of telecommunication of the change that the load at every moment changed is shown.
It is interval by the 1st of short cycle in the cycle of each breathing than the people on bed 10 that body moves value operational part 12, and based on the change of load, computing illustrates the dynamic value of the body of the change of load.In the present embodiment, body moves value operational part 12 and the maximum of load and the difference of minima are moved value as body carrys out computing.
When body move value larger than the decision threshold preset, body move detection unit 13 be judged to be people body move.
Body moves several calculating section 14 and moves based on the body of the people on bed 10, by calculating the dynamic number of body each specified time limit preset.That is, by the quantity calculating the 1st interval being judged to be " having body to move " each specified time limit.
Sleep detection unit 15 of reviving judges people on bed 10 whether in sleep.Specifically, the value of each coefficient gained is multiplied by from being added together computing sleep value before the stipulated time to current by moving number with the body of each specified time limit.Magnitude relationship according to this sleep value and " decision threshold preset " judges.Such as, when sleep value is less than or equal to " decision threshold preset ", be judged to be that people on bed 10 is in sleep.On the other hand, when sleep value is larger than " decision threshold preset ", be judged to be that people on bed 10 is not in sleep, namely in reviving.
The continuous length of one's sleep of the people of the operational part 16 computing length of one's sleep in sleep and sleep cumulative time.Refer to the time that the sleep state of the people on bed 10 continues the continuous length of one's sleep.That is, detection unit 15 of reviving from sleeping judges the time of people in sleep to being judged to be in reviving bed 10.In addition, the sleep cumulative time refers to, from during bed 10 on people is to leaving the bed, and the time of the time gained of accumulative people's sleep.That is, sleep detection unit 15 of reviving adds up time of the time gained of people in sleep on bed 10.
State detection unit 17 judges " degree of depth of sleep " of the people in sleep based on the relation of the continuous length of one's sleep, sleep cumulative time and the continuous length of one's sleep prestored and sleep cumulative time.The relation of the continuous length of one's sleep and sleep cumulative time can represent with such as mapping, mathematical formulae, table etc.
" degree of depth of sleep " is equivalent to so-called " rapid-eye-movement sleep (REM sleep) " or " nonrapid eye movements,sleep "." rapid-eye-movement sleep (REM sleep) " is equivalent to above-mentioned " shallow sleep ", refers to the fast wave of brain wave close to wake states, the state of breathing, heartbeat, blood pressure disorders." nonrapid eye movements,sleep " comprises above-mentioned " deep sleep ", refers to that brain wave becomes slow wave, the state of breathing, heartbeat, blood pressure drops.In addition, the state of " nonrapid eye movements,sleep " is divided into multiple rank (such as four ranks) as known in the art, but in the present embodiment without particular limitation of these.
In the present embodiment, the form that the relationship specifications of the continuous length of one's sleep and sleep cumulative time is the mapping shown in Fig. 2 is described.In fig. 2, the longitudinal axis is the continuous length of one's sleep, and transverse axis is the sleep cumulative time.Testee is the people of regulation, obtains the brain wave in the sleep of this testee.According to this brain wave, judge that the sleep of testee is shallow or dark.Its relationship map is Fig. 2 by the computing continuous length of one's sleep now and sleep cumulative time.It is " 1 " that the scale of the longitudinal axis and transverse axis is standardized as central authorities respectively.In fig. 2, "×" labelling represents shallow sleep, and "○" represents deep sleep.In the present embodiment, such mapping is pre-stored within relational storage portion 18.In addition, the above-mentioned testee obtaining the data on the basis becoming this mapping both can be and use the people of bed 10 to be same persons, also can be different people.
In the present embodiment, state detection unit 17, based on mapping as shown in Figure 2, uses support vector machine to judge the degree of depth of the sleep of the people on bed 10.Support vector machine is known, therefore detailed.
The result of determination of state detection unit 17 is delivered to update section 19.In the result of determination being delivered to update section 19, the continuous length of one's sleep and the sleep cumulative time that become the basis obtaining this result of determination are also passed explicitly.Update section 19, based on this continuous length of one's sleep and sleep cumulative time, in the mapping being stored in relational storage portion 18, is marked and drawed " shallow sleep " or " deep sleep " corresponding to result of determination respectively.So, the continuous length of one's sleep and sleep cumulative time are upgraded.The relation of the continuous length of one's sleep upgraded like this and sleep cumulative time is used to the judgement of the degree of depth of the sleep of next time.
[sleep interval configuration part]
Figure 3 illustrates the dormant result that sleep state detection unit 1 determined people, example T between the sleep period leaving the bed of going to bed to from people being divided into multiple interval is shown.
T1 before T between sleep period is divided into and falls asleep by the sleep interval configuration part 2 in present embodiment, sleep first half T2, the later half T3 that sleeps, leave the bed before T4, overall T5 five intervals of sleeping.In addition, sleep interval configuration part 2 is split T between sleep period and is referred to, comprise the later half T3 of sleep and the state that before leaving the bed, T4 repeats, the T-phase between overall T5 and sleep period of sleeping with the concept of state.
Before falling asleep T1 be from people go to bed to fall asleep moment (falling asleep the moment) interval.Sleep first half T2 is from the moment of falling asleep to the interval through the stipulated time.The later half T3 that sleeps is the interval from the moment of finally leaving the bed to the moment of backtracking stipulated time.Before leaving the bed, T4 is from the moment of finally reviving (finally the sleeping the moment) interval to finally leaving the bed.The overall T5 that sleeps to go to bed to the interval leaving the bed from people.
Herein, the moment that people falls asleep refers to, when being judged to be more than the time remaining certain hour of sleeping, and this sleep start time.That is, as shown in Figure 3, before falling asleep, there is the time being judged to be partial sleep in the interval of T1, but this time does not have more than certain time, does not therefore judge for people has fallen asleep.In addition, the moment of finally reviving is set to and is judged to be the moment nearest from the last moment of leaving the bed in the moment of reviving after is judged to be the time remaining certain hour of sleeping by sleep state detection unit 1.That is, as shown in Figure 3, before leaving the bed, there is the time being judged to be partial sleep in the interval of T4, but this time is not through certain hour, is not therefore judged as the moment of finally reviving.
[sleep target setting portion]
Sleep target setting portion 3 sets at least one sleep index separately by five intervals split by sleep interval configuration part 2.
Sleep index in present embodiment is made up of " falling asleep incubation period ", " wake up operations at night ", " night revives total time ", " shallow sleep total time ", " deep sleep total time ", " Sleep efficiency ", " efficiency of reviving ", " leaving the bed incubation period " eight indexs.
" fall asleep incubation period " and refer to people after going to bed from the time that wake states is required to entering sleep." wake up operations at night ", " night revives total time " refer to be judged to revive during certain number of times, the time." shallow sleep total time ", " deep sleep total time " refer to the total ascent time being judged to be shallow sleep, deep sleep during certain." Sleep efficiency " refers to relative to the ratio being judged to be the time of sleeping overall during certain." efficiency of reviving " refers to relative to the ratio being judged to be the time of reviving overall during certain." leave the bed incubation period " and refer to from wakeing up the time required to leaving the bed.
Sleep target setting portion 3 in present embodiment " will fall asleep incubation period " for T1 before falling asleep and be set as assessment item; By " Sleep efficiency " or " deep sleep total time ", assessment item is set as sleep first half T2; By " Sleep efficiency ", assessment item is set as the later half T3 of sleep; To " leave the bed incubation period " for T4 before leaving the bed and " efficiency of reviving " is set as assessment item; By " Sleep efficiency " and " wake up operations at night " or " night revives total time ", assessment item is set as the overall T5 of sleep.
Herein, for the sleep index of sleep first half T2 setting " deep sleep total time ", for the sleep index of T4 setting " efficiency of reviving " before leaving the bed be because usually arrive at sleep initial stage deep sleep, after sleep phase sleep shoal gradually.Therefore, also " shallow sleep total time " can be applied to the sleep index of the later half T3 that sleeps.That is, as long as by the optimal sleep index of each interval setting, be not particularly limited.
[sleep index generating unit]
Sleep index generating unit 4, based on the result of determination of sleep state detection unit 1, generates each sleep index set by sleep target setting portion 3.
The sleep state data of one day judged by sleep state detection unit 1 are used to carry out each sleep index of computing.As mentioned above, sleep state detection unit 1 by judging each sleep state (revive, shallow sleep, deep sleep) each specified time limit, therefore, each sleep index by calculating each dormant number of times, the time goes forward side by side row operation and obtain.In addition, both the result of determination of sleep state detection unit 1 can be delivered in real time sleep index generating unit 4, and also can storage part be set in sleep state detection unit 1 or sleep index generating unit 4 and perform batch process.
[Sleep Evaluation value operational part, Sleep Evaluation value correction unit]
Sleep Evaluation value operational part 61 by each interval (T1 before falling asleep, sleep first half T2, the later half T3 that sleeps, leave the bed before T4, sleep overall T5) carry out computing sleep mark (Sleep Evaluation value, hereinafter referred to as " sleep mark ").This sleep mark is each sleep index using sleep index generating unit 4 to generate, and by each interval, such as, assigns to carry out computing respectively as 20.
Herein, the sleep mark of T1 before falling asleep is defined as the power of falling asleep, the sleep mark of sleep first half T2 is defined as dark dormancy power, the sleep mark of the later half T3 of sleep be defined as dormancy power, the sleep mark of T4 before leaving the bed is defined as the power of getting up, is defined as by the sleep mark of the overall T5 of sleep and holds dormancy power.The power of falling asleep refers to the ability that can successfully fall asleep.Dark dormancy power refers to the ability that can obtain deep sleep.Complete dormancy power refers to the ability can slept to the time of sleepy.The ability can got up at once after the power of getting up refers to and wake up.Hold the ability that dormancy power refers to ground prolonged sleep of can not reviving night.
The sleep mark in each interval uses the function F t (Xi) of regulation (t is interval, that i is sleep index quantity) to carry out computing.The function F t (Xi) of this regulation uses the measurement data such as brain wave, determines compared with judging dormant PSG checks (leading sleeps more checks) result with clinical examination technician.That is, while use PSG check result, such as regulation linear function, quadratic function etc. are used as function F t (Xi), check the appropriate property of the quality of the sleep in each interval, mark, select and determine the function that dependency is the highest and each coefficient for this function.
On the other hand, calculate as sleep total score (maximum is 20 points × five interval=100 point) after the sleep mark using the function F t (Xi) of regulation to come each interval of computing adds up to.Respectively sleep mark and sleep total score are output to Sleep Evaluation portion 7 described later and are stored in Sleep Evaluation value storage part 71 for these.
But though be utilize Sleep Evaluation portion 7 described later to carry out the sleep of appraiser, when the length of one's sleep is short, also likely the power of falling asleep becomes high score, result sleep total score becomes high mark.For this reason, in the present embodiment, preferred Sleep Evaluation value correction unit 62 carries out the correction corresponding to the length of T between sleep period to each sleep mark and sleep total score, generates Sleep Evaluation corrected value.This each Sleep Evaluation corrected value is output to Sleep Evaluation portion 7 described later and is stored in Sleep Evaluation value storage part 71.Such as, when between sleep period T be less than 5 hours or more than 9 hours, be multiplied by the reduction coefficient of regulation with the function F t (Xi) of regulation.In this case, if be in the people of less than 5 hours in the length of one's sleep, in the sleep mark in each interval, there is the sleep mark of more than the threshold value of regulation, then both only can be multiplied by reduction coefficient in this interval, also can be multiplied by reduction coefficient without exception in all intervals.In addition, also only reduction coefficient can be multiplied by by sleep total score.
[Sleep Evaluation portion]
Sleep Evaluation portion 7 based on the sleep mark by Sleep Evaluation value operational part 61 and the computing of Sleep Evaluation value correction unit 62, by the sleep of each interval assessment people.Use Fig. 4 ~ 7 that this evaluation methodology is described.
Sleep Evaluation portion 7 in present embodiment possesses Sleep Evaluation value storage part 71, evaluation model configuration part 72, evaluation section 73.
Sleep Evaluation value storage part 71 stores above-mentioned each sleep mark, sleep total score, Sleep Evaluation corrected value by the amount (such as the amount of a year) of the natural law of regulation.In addition, also following formation can be set to: only each sleep mark is stored in Sleep Evaluation value storage part 71, each computing sleep total score, Sleep Evaluation corrected value.
Evaluation model configuration part 72 possesses multiple evaluation model in the sleep of appraiser, and the sleep total score Y according to last time determines evaluation model.Below, use Fig. 4 that one example of the defining method of evaluation model is described.
As shown in Figure 4, the sleep total score Z (#41) whether storing this (today) in Sleep Evaluation value storage part 71 is judged.When there is no this sleep total score Z (#41 is judged to be "No"), end process.
On the other hand, when there being this sleep total score Z (#41 is judged to be "Yes"), judge whether the sleep total score Y of last time is stored in Sleep Evaluation value storage part 71 (#42).Herein, the sleep total score Y of last time is the sleep total score Y assuming yesterday, but when not having the data of yesterday, the latest data before yesterday is the sleep total score Y of last time.In addition, also the sleep total score Y of last time can be defined in the data of yesterday.
When there is no the sleep total score Y of last time (#42 is judged to be "No"), being defined as only showing general knowledge at display part 9 described later, ending process.On the other hand, when there being the sleep total score Y of last time (#42 is judged to be "Yes"), computing this sleep total score Z and the poor D=Z-Y (#43) of the sleep total score Y of last time.This difference D will be used for the Sleep Evaluation in evaluation section 73 described later, therefore in advance by computing, but also can carry out computing in evaluation section 73 described later.
Then, judge whether the sleep total score Y of last time is more than or equal to the first threshold Y1 (such as 80 points) (#44) preset.When the sleep total score Y of last time is more than or equal to first threshold Y1 (#44 is judged to be "Yes"), being defined as is the high praise type A of good Sleep Evaluation pattern.On the other hand, when the sleep total score Y of last time is less than first threshold Y1 (#44 is judged to be "No"), judge whether the sleep total score Y of last time is more than the Second Threshold Y2 (such as 60 points) (#45) being set as the value less than first threshold Y1.When the sleep total score Y of last time is more than or equal to Second Threshold Y2 (#45 is judged to be "Yes"), being defined as is the middle evaluation type B of better Sleep Evaluation pattern.On the other hand, when the sleep total score Y of last time is less than Second Threshold Y2 (#45 is judged to be "No"), being defined as is the low evaluation Type C of low Sleep Evaluation pattern.Each evaluation model determined like this is passed to evaluation section 73.
Distinguish the evaluation model of the high people of daily sleep power and low people like this, therefore, compared with using the situation of identical evaluation model, definite Sleep Evaluation becomes possibility.
Evaluation section 73 is configured to: based on each evaluation model, carrys out the sleep of appraiser according to the difference of this sleep mark be stored in Sleep Evaluation value storage part 71 and the sleep mark of last time.Below, use Fig. 5 ~ 7 that an example of the Sleep Evaluation method of each evaluation model is described.
Evaluation section 73 in present embodiment carries out Sleep Evaluation as follows: by often kind of evaluation model, is divided into < to praise >, < and keeps I1 >, < to keep I2 >, < to keep I3 >, < to improve K1 >, < improving a certain item in the project of K2 >.
Herein, < compliment > refers to, in the situations such as the sleep total score of today adds compared with the previous day, the result of determination that sleep quality improves is shown.In addition, < keeps > to refer to, under the sleep total score of today does not have the situations such as so large change compared with the previous day, the result of determination maintaining sleep quality is shown.In addition, < improves > and refers to, in the situations such as the sleep total score of today have dropped compared with the previous day, the result of determination that sleep quality have dropped is shown.And, >, < is kept to improve in > at <, always grade according to the difference of this sleep mark in each interval and the sleep mark of last time, this sleep, divide rank respectively.
(high praise type A)
The Sleep Evaluation method of high praise type A shown in Figure 5.First, judge that whether the poor D of this sleep total score Z and the sleep total score Y of last time is than the 3rd threshold value D1 (such as 5 points) preset large (#51).When difference D is large than the 3rd threshold value D1 (#51 is judged to be "Yes"), selected each interval (T1 before falling asleep, sleep first half T2, the later half T3 that sleeps, leave the bed before T4, sleep overall T5) each sleep mark in this sleep mark and the sleep mark of last time poor d (t) (t is interval) in the interval (#52) of poor maximum dmax.Further, the Sleep Evaluation of people is < compliment > by evaluation section 73.Consequently, at display part 9 described later, such as, be on duty maximum dmax before falling asleep during T1, " the sleep resultant force D that improved compared with last time divides in display.Particularly the power of falling asleep has improved." etc. compliment word.
On the other hand, when difference D is less than or equal to the 3rd threshold value D1 (#51 is judged to be "No"), the interval (#53) of the poor minima dmin in this sleep mark in each sleep mark in selected each interval and the poor d (t) of the sleep mark of last time.Then, judge whether difference D is the value less than the 3rd threshold value D1 and is more than or equal to the 4th threshold value-D2 (such as-5 points) (#54) being set as negative value.That is, the degree that this sleep total score Z has been deteriorated relative to the sleep total score Y of last time is judged.
When difference D is more than or equal to the 4th threshold value-D2 (#54 is judged to be "Yes"), that is, when this sleep total score Z does not have so large change, Sleep Evaluation is that < keeps I1 >.On the other hand, when difference D is less than the 4th threshold value-D2 (#54 is judged to be "No"), judge whether this sleep total score Z is more than or equal to the 5th threshold value Z1 (such as 80 points) (#55) preset.
When this sleep total score Z is more than or equal to the 5th threshold value Z1 (#55 is judged to be "Yes"), judge whether difference minima dmin is more than or equal to the 6th threshold value-d1 (such as-3 points) (#56) as the negative value preset.
When difference minima dmin is more than or equal to the 6th threshold value-d1 (#56 is judged to be "Yes"), Sleep Evaluation is that < improves K1 >.Consequently, at display part 9 described later, such as, be on duty minima dmin before falling asleep during T1 interval, " the sleep resultant force D that had been deteriorated compared with last time divides in display.Particularly the power of falling asleep has been deteriorated." etc. the sleep power that should improve.
When difference minima dmin is less than the 6th threshold value-d1 (#56 is judged to be "No"), Sleep Evaluation is that < improves K2 >.This < improves the Sleep Evaluation that K2 > is the sleep power should improved especially compared with existence improves K1 > with <.
On the other hand, when this sleep total score Z is less than the 5th threshold value Z1 (#55 is judged to be "No"), Sleep Evaluation is that < improves K1 >.
(middle evaluation type B)
The Sleep Evaluation method of middle evaluation type B shown in Figure 6.First, judge that whether the poor D of this sleep total score Z and the sleep total score Y of last time is than the 3rd threshold value D1 (such as 5 points) preset large (#61).When difference D is larger than the 3rd threshold value D1 (#61 is judged to be "Yes"), the interval (#62) of the poor maximum dmax in the poor d (t) (t is interval) of this sleep mark in each sleep mark in selected each interval and the sleep mark of last time.Further, the Sleep Evaluation of people is < compliment > by evaluation section 73.
On the other hand, when difference D is less than or equal to the 3rd threshold value D1 (#61 is judged to be "No"), the interval (#63) of the poor minima dmin in this sleep mark in each sleep mark in selected each interval and the poor d (t) of the sleep mark of last time.Then, judge whether difference D is the value less than the 3rd threshold value D1 and is more than or equal to the 4th threshold value-D2 (such as-5 points) (#64) being set as negative value.That is, the degree that this sleep total score Z has been deteriorated relative to the sleep total score Y of last time is judged.
When difference D is more than or equal to the 4th threshold value-D2 (#64 is judged to be "Yes"), that is, when this sleep total score Z does not have so large change, judge whether difference minima dmin is more than or equal to the 6th threshold value-d1 (such as-3 points) (#65) as the negative value preset.
When difference minima dmin is more than or equal to the 6th threshold value-d1 (#65 is judged to be "Yes"), Sleep Evaluation is that < keeps I2 >.On the contrary, when difference minima dmin is less than the 6th threshold value-d1 (#65 is judged to be "No"), Sleep Evaluation is that < keeps I3 >.
On the other hand, when difference D is less than the 4th threshold value-D2 (#64 is judged to be "No"), judge whether this sleep total score Z is more than the 7th threshold value Z2 (such as 60 points) (#66) being set as the value less than the 5th threshold value Z1.
When this sleep total score Z is more than or equal to the 7th threshold value Z2 (#66 is judged to be "Yes"), Sleep Evaluation is that < improves K1 >.When this sleep total score Z is less than the 7th threshold value Z2 (#66 is judged to be "No"), Sleep Evaluation is that < improves K2 >.
(low evaluation Type C)
The Sleep Evaluation method of low evaluation Type C shown in Figure 7.First, judge that whether the poor D of this sleep total score Z and the sleep total score Y of last time is than the 3rd threshold value D1 (such as 5 points) preset large (#71).When difference D is larger than the 3rd threshold value D1 (#71 is judged to be "Yes"), the interval (#72) of the poor maximum dmax in the poor d (t) (t is interval) of this sleep mark in each sleep mark in selected each interval and the sleep mark of last time.Further, the Sleep Evaluation of people is < compliment > by evaluation section 73.
On the other hand, when difference D is less than or equal to the 3rd threshold value D1 (#71 is judged to be "No"), the interval (#73) of the poor minima dmin in this sleep mark in each sleep mark in selected each interval and the poor d (t) of the sleep mark of last time.Then, judge whether difference D is the value less than the 3rd threshold value D1 and is more than or equal to the 4th threshold value-D2 (such as-5 points) (#74) being set as negative value.That is, the degree that this sleep total score Z has been deteriorated relative to the sleep total score Y of last time is judged.
When difference D is more than or equal to the 4th threshold value-D2 (#74 is judged to be "Yes"), that is, when this sleep total score Z does not have so large change, judge whether difference minima dmin is more than or equal to the 6th threshold value-d1 (such as-3 points) (#75) as the negative value preset.
When difference minima dmin is more than or equal to the 6th threshold value-d1 (#75 is judged to be "Yes"), Sleep Evaluation is that < keeps I2 >.On the contrary, when difference minima dmin is less than the 6th threshold value-d1 (#75 is judged to be "No"), Sleep Evaluation is that < keeps I3 >.
On the other hand, when difference D is less than the 4th threshold value-D2 (#74 is judged to be "No"), Sleep Evaluation is that < improves K2 >.
Like this, carried out the evaluation of the sleep of people by the difference etc. of the sleep mark based on each interval, the sleep power can evaluating which interval is accurately low, etc.And Sleep Evaluation method is easy, therefore, it is possible to reduce computational load.
[sleep suggestion portion]
Sleep suggestion portion 8 in present embodiment possesses suggestion reservoir 81, suggestion selection portion 82.Sleep suggestion portion 8 is based on the result of the Sleep Evaluation in above-mentioned Sleep Evaluation portion 7, and select sleep suggestion, this selection information is passed to display part 9.
Suggestion reservoir 81 stores the data groups of helping suggestion, (c) multiple sleeps that index, (d) behavior are formed individually to advise by the assurance of (a) present situation, (b).
A () present situation is held is the data of the result of the poor D that this sleep total score Z and the sleep total score Y of last time are shown, is that " resultant force of the sleeping D that improved compared with last time divides.", " the sleep resultant force D that had been deteriorated compared with last time divides." such data, substitute into the poor D of 7 computings in Sleep Evaluation portion.
B () assistance suggestion is the data that worry, encouragement etc. are shown.C () indivedual index is that " particularly (power of falling asleep) has improved.", " particularly (power of falling asleep) has been deteriorated." such data, substitute into Sleep Evaluation portion 7 the poor maximum dmax that select or the project differing from the suitable sleep power of minima dmin.
(d) behavior be by general knowledge, power of falling asleep, deeply sleep power, complete dormancy power, power of getting up, hold each project of dormancy power, be such as the data group of the suggestion of 3 ranks by grade classification.In addition, be set as in the present embodiment: along with grade improves, the difficulty of execution uprises.
Such as in the behavior of the power of getting up, prepare to have " music of alarm clock to be set to the allegro song allowing the mood of oneself improve in the 1st grade.", " draw the curtain apart and sleep.The sunlight in morning shines into easily wake up." etc. suggestion.In addition, preparing to have in the 2nd grade " is very important according to forming rhythm between the sack time of every day, WA.", " moving body bit by bit in bed after waking up, health will warm easily movable." etc. suggestion.And, prepare to have " to go to excavate the hobby of carrying out after getting up morning in the 3rd grade.Work, slight How about sports? ", " formed within 1 week, get up at same time, wake up become comfortable body in rhythm." etc. suggestion.
The evaluation result that suggestion selection portion 82 is evaluated according to Sleep Evaluation portion 7, selects the sleep suggestion being stored in suggestion reservoir 81.That is, suggestion selection portion 82 is pressed < compliment >, < and is kept I1 >, < to keep I2 > ... etc. each assessment item, (a) present situation is held, (b) help suggestion, (c) indivedual index, (d) behavior combines respectively and form.In addition, as do not selected (b) to help suggestion such when < praises >, all sleeps suggestion to not necessarily be selected.
And then, in suggestion selection portion 82, select the sleep corresponding with the input content of living habit input part 741 described later to advise.That is, for " you drink? " when this problem selection " not drinking ", relevant sleep suggestion is excluded to drinking.Such as can not select to the people of the living habit of not drinking that " night cup does not exceed 1 glass.Dark dormancy power can decline." action.
In addition, be set as in the present embodiment: when (d) behavior of selection, Stochastic choice (not repeating to select) from the 1st grade at first, when the 1st grade is all selected just to transfer to the 2nd grade, when the 2nd grade is all selected just to transfer to the 3rd grade.In addition, when the 3rd grade is all selected, just again returning the 1st grade repeats same operation.
About the sleep suggestion selected, following example supposition example is also specialized.
(the 1st example: middle evaluation type B) when the sleep total score Y of last time be 78 points, this sleep total score Z becomes 70 points, have dropped 8 points, the project of maximum (the difference minima dmin) of decline was (< improves K1 >) when getting up power compared with last time:
" sleep resultant force had been deteriorated 8 points compared with last time in selection.Today is too not inadequate.Particularly the power of getting up has been deteriorated.Draw the curtain apart and sleep to your recommendation.The sunlight in morning shines into easily wake up." such sleep suggestion.
(the 2nd example: middle evaluation type B) when the sleep total score Y of last time be 64 points, this sleep total score Z becomes 70 points, add 6 points, the project of maximum (differences maximum dmax) of rising was (< praise >) when holding dormancy power compared with last time:
" sleep resultant force had improved 6 points compared with last time in selection! Particularly hold dormancy power to have improved! A sleep general knowledge of today: whether sleep and can not only to check with the salubrious sense in morning well, also can check by the sleepiness on daytime." such sleep suggestion.
[display part]
Display part 9 in present embodiment possesses mark display part 91, suggestion display part 92, historical record display part 93, configuration part 94.Display part 9 is configured to the touch screen display evaluation result etc. at mobile terminals such as smart mobile phones, the information of the CPU process possessed by bed 10 by wireless transmission to mobile terminal.In addition, both display part 9 can be built in the abutment portion 10B of bed 10, also can be configured to only the testing result of four load sensors 11 is sent to mobile terminal, each function part in running of mobile terminal present embodiment.Below, use Fig. 8 that one example of display part 9 is described.
Mark display part 91 and " result " label in linkage, show this sleep total score Z and the sleep total score Y of last time with comprising poor D.As shown in Figure 8, the sleep total score Y of last time is shown less, arrow writes poor D in the lump, and this sleep total score Z is shown larger.In addition, by the sleep mark in each interval (power of falling asleep, deeply sleep power, complete dormancy power, power of getting up, hold dormancy power) show with radar map.At this moment, as long as distinguish each sleep mark of last time and this each sleep mark by color, the inner side of the radar map of last time is painted the ground such as translucent and show, then visually easily hold the change of each sleep mark.In addition, also by the sleep mark block diagram display etc. in each interval, radar map can be not limited to.
The sleep suggestion selected in suggestion selection portion 82 is shown in picture by suggestion display part 92.In the present embodiment, be make sleep suggestion be shown in picture by pressing " suggestion " button.In addition, also can be set to mode suggestion being shown in advance picture, all distortion can be had.
The Sleep Evaluation result in past in linkage, was shown in picture by historical record display part 93 and " historical record " label in units of one week.Although not shown, but such as T between the sleep period one day leave the bed from going to bed to, show during one week by reviving, shallow sleep and deep sleep made the block diagram that color is distinguished.Consequently, it is regular or disorderly for visually can holding sleep rhythm.In addition, also the sleep total score Z during a week can be set to broken line graph, show with superposing with block diagram.In this case, the sleep tendency by what day classification can be held.
Configuration part 94 possesses the attribute configuration part, moment configuration part etc. of the individuals such as living habit input part 941, sex, age.Living habit input part 941 is configured to: the living habit that can carry out the people of Sleep Evaluation from the choice menus input of living habit issue table.Such as press " you smoke? ", " you drink? ", " you drink coffee, black tea? ", " your drink milk? " etc. each problem relevant to living habit, the radio button of "Yes" "No" is shown in picture.
The input results of this living habit input part 941 is passed to above-mentioned suggestion selection portion 82, only selects the sleep corresponding with the living habit of people to advise.Then, this selection result is shown in suggestion display part 92.Therefore, eliminate the sleep irrelevant with user and advise, so, point out definite sleep suggestion to become possibility.
[other embodiment]
(1) in sleep state detection unit 1 in the above-described embodiment, show people and lie in example on bed 10, but also can judge such as to lie in people on quilt, be sitting in the sleep state of the people above seat etc.
(2) in the above-described embodiment, move according to body and achieve the Biont information of the people on bed, but also the heartbeat of people from the bed, breathing and pulse etc. can obtain Biont information.
(3) in above-mentioned sleep interval configuration part 2, T between sleep period is set as five intervals, but T1, sleep first half T2, these three intervals of later half T3 etc. of sleeping before also can being set as such as falling asleep, interval number is not particularly limited.
(4) in the above-described embodiment, sleep target setting portion 3 is only an example by least one sleep index of each interval setting, also can set other optimal sleep index based on various experimental result.
(5) the evaluation model configuration part 72 in above-mentioned embodiment can also be omitted.In this case, such as turn to by whole unifications the Sleep Evaluation that middle evaluation type B performs evaluation section 73.In addition, the correction that Sleep Evaluation value correction unit 62 ground does not perform and between sleep period, T-phase is answered also can not be set.Like this, as long as suitably omit each function part of present embodiment as required, then computational load can be reduced.
(6) combination of above-mentioned display part 9 is only an example, can omit historical record display part 93, living habit input part 941 etc., suitably change.
industrial utilizability
The present invention can be used for the sleep evaluation device of the sleep of the people evaluated on bed.
Claims (5)
1. a sleep evaluation device, is characterized in that, possesses:
Sleep state detection unit, it is based on the Biont information of people, the sleep state of the above-mentioned people between the sleep period judging to leave the bed from going to bed to;
Sleep interval configuration part, it will at least be divided into two intervals between above-mentioned sleep period;
Sleep target setting portion, its each above-mentioned interval split by above-mentioned sleep interval configuration part, at least sets a sleep index;
Sleep index generating unit, it is based on the result of determination of above-mentioned sleep state detection unit, generates each the above-mentioned sleep index set by above-mentioned sleep target setting portion;
Sleep Evaluation value operational part, its above-mentioned sleep index using above-mentioned sleep index generating unit to generate, by each above-mentioned interval arithmetic Sleep Evaluation value; And
Sleep Evaluation portion, it is based on above-mentioned Sleep Evaluation value, by the sleep of the above-mentioned people of each above-mentioned interval assessment.
2. sleep evaluation device according to claim 1, wherein,
Possess Sleep Evaluation value correction unit, above-mentioned Sleep Evaluation value correction unit carries out the correction corresponding to the length between above-mentioned sleep period to above-mentioned Sleep Evaluation value.
3. sleep evaluation device according to claim 1 and 2, wherein,
Possess:
Sleep Evaluation value storage part, it stores above-mentioned Sleep Evaluation value;
Suggestion reservoir, it stores the multiple sleep suggestions to above-mentioned people;
Suggestion selection portion, it selects above-mentioned sleep to advise according to the evaluation result that above-mentioned Sleep Evaluation portion evaluates; And
Suggestion display part, above-mentioned sleep suggestion is shown in picture by it,
Above-mentioned Sleep Evaluation portion evaluates the sleep of above-mentioned people based on the difference of this above-mentioned Sleep Evaluation value and the above-mentioned Sleep Evaluation value of last time that are stored in above-mentioned Sleep Evaluation value storage part.
4. sleep evaluation device according to claim 3, wherein,
Above-mentioned Sleep Evaluation portion possesses multiple evaluation model in the sleep evaluating above-mentioned people, adds up to the value of gained to determine above-mentioned evaluation model according to the above-mentioned Sleep Evaluation value in all intervals by last time.
5. the sleep evaluation device according to claim 3 or 4, wherein,
Above-mentioned suggestion selection portion selects the above-mentioned sleep corresponding with the living habit of above-mentioned people to advise.
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| JP2014-108142 | 2014-05-26 | ||
| JP2014108142A JP6414393B2 (en) | 2014-05-26 | 2014-05-26 | Sleep evaluation device |
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| CN105286783A true CN105286783A (en) | 2016-02-03 |
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| JP2015223215A (en) | 2015-12-14 |
| JP6414393B2 (en) | 2018-10-31 |
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