CN101999936B - Signal sensing device having noise-canceling function and signal sensing method - Google Patents
Signal sensing device having noise-canceling function and signal sensing method Download PDFInfo
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- CN101999936B CN101999936B CN200910168198A CN200910168198A CN101999936B CN 101999936 B CN101999936 B CN 101999936B CN 200910168198 A CN200910168198 A CN 200910168198A CN 200910168198 A CN200910168198 A CN 200910168198A CN 101999936 B CN101999936 B CN 101999936B
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Abstract
The invention relates to a signal sensing device having a noise-canceling function, which comprises at least one first signal sensor for receiving a first signal, at least one second signal sensor for receiving a second signal, a signal receiver for receiving a third signal consisting of at least one noise, and a master/auxiliary multi-step noise canceller for judging the correlation of the first signal with the third signal, and the correlation of the second signal with the third signal. The master/auxiliary multi-step noise canceller uses one of the first signal and the second signal with a higher correlation as a master signal and uses the other one as an auxiliary signal. A multi-step adaptive filter algorithm is performed to cancel the noise in the third signal.
Description
Technical field
The invention relates to the signal sensing device and method, especially about the signal sensing device and method of tool noise cancellation.
Background technology
Along with the progress in epoch, the demand of health control with day increase severely, the physiology monitor equipment of electronization of all kinds is just flourish, and the electronic product of integration networks function, like the long distance care system etc., especially health control with look after the luxuriant agitation that is.
Yet this type of electronic physiology monitor equipment often can only carry out static state and measure, and can't cooperate the daily life pattern comprehensively and reaches the purpose of carrying out health monitoring whenever and wherever possible.Be demand, developed in recent years and many patents and research, be an example like U.S. Pat 6912414 in response to above-mentioned action monitoring.Fig. 1 is the physiological signal sensing device sketch map that this patent disclosed.Physiological signal sensing device 10 comprises: electrode patch 11, ecg signal amplifier 21, dynamic pickup interface 22, analog-to-digital converter 23 and controller 24 have comprised also on the electrode patch 11 that wherein the electrode 12 in order to measure electrocardiosignal reaches in order to measure the dynamic pickup 13 of Dynamic Signal.The electrocardiosignal that this ecg signal amplifier 21 will be received from electrode 12 is amplified; This dynamic pickup interface 22 is then in order to handle from this dynamic pickup 13 and this Dynamic Signal that comes.Subsequently; Analog-to-digital converter 23 sends this controller 24 to after with above-mentioned analog electrocardiosignal and Dynamic Signal digitized; Is that reference signal is carried out adaptive filtering by controller 24 with this Dynamic Signal, at last with eliminating because of the noise that dynamically produces in the electrocardiosignal.
Yet the action in the human body daily life has a variety of, for example: walk, stretch oneself, stair activity or the like, all can cause the dynamic noise of different kenels, and the way of only carrying out filtering with regard to the noise of single type can not be reached best noise removing effect.In addition, find that except the dynamic noise of above-mentioned kenel, the dynamic noise of pullling the deformation signal that caused of skin on electrode also often produces very big influence to electrocardiosignal through experiment.Therefore, in order to reach best noise removing effect to promote the quality of action health control, so the present invention arises at the historic moment.
Summary of the invention
The present invention provides a kind of signal sensing device of tool noise cancellation, comprising: at least one first kind signal transducer, in order to receive a first kind signal; At least one second type of signal transducer is in order to receive one second type of signal; One signal receiver, in order to receive one the 3rd type of signal, wherein the 3rd type of signal comprises at least one noise; And a major-minor multiple stage type noise eliminator, in order to: the dependency of judging this first kind signal and the 3rd type of signal; Judge the dependency of this second type of signal and the 3rd type of signal; And with dependency in this first kind signal and this second type of signal high be main signal, be auxilliary signal with another kind, carry out multiple stage type adaptive filter algorithm to eliminate the 3rd type of this noise in the signal.
The present invention provides a kind of signal sensing method in addition, comprising: receive a first kind signal; Receive one second type of signal; Receive one the 3rd type of signal, wherein the 3rd type of signal comprises at least one noise; Judge the dependency of this first kind signal and the 3rd type of signal; Judge the dependency of this second type of signal and the 3rd type of signal; And with dependency in this first kind signal and this second type of signal high be main signal, be auxilliary signal with another kind, carry out multiple stage type adaptive filter algorithm to eliminate the 3rd type of this noise in the signal.
Description of drawings
For letting the above-mentioned feature and advantage of the present invention can be more obviously understandable, hereinafter is special lifts embodiment, and conjunction with figs. elaborates as follows, wherein:
Fig. 1 is the signal sensing device sketch map that this patent disclosed;
Fig. 2 is the signal sensing device sketch map according to the tool noise cancellation of one embodiment of the invention;
Fig. 3 A is for accordinging to signal sensing method flow diagram of the present invention;
Fig. 3 B is the flow chart of another embodiment of step S340.
The specific embodiment
Fig. 2 is the signal sensing device sketch map according to the tool noise cancellation of one embodiment of the invention.Signal sensing device 200 comprises: at least one first kind signal transducer 210, at least one second type of signal transducer 220, a signal receiver 230 and a major-minor multiple stage type noise eliminator 240.Wherein, this first kind signal transducer 210 is in order to receive a first kind signal, this second type of signal transducer 220 in order to receive one second type of this signal receiver 230 of signal then in order to receive one the 3rd type of signal.And explanation for ease; In the present embodiment; This first kind signal is that an inertia direction signal, this second type of signal with at least one dimension is to have a deformation signal of at least one dimension and the 3rd type of signal can be a physiology signal, and for example, it is an electrocardiosignal; It is measured to adhere to person to be measured electrode on one's body by one, and in other embodiments needn't be as limit.Only be noted that in the present invention, this second type of signal must not belong to this first kind signal.
Receive measured that the signal sensing device 200 of present embodiment measured and carrying out exercises as running, walk or during stair activity, all can produce above-mentioned this inertia direction signal, and these actions can impacting all to electrocardiosignal.First kind pick off 210 can be by implementing such as accelerometer, gyroscope etc. in order to measure this inertia direction signal.In addition, skin pulls that electrode then is attributable to chest expanding, action such as stretch oneself, and the deformation meeting on the electrode impacts electrocardiosignal.Second type of pick off 220 can be implemented by strain gauge, pulling force sensor or bend sensor in order to measure this deformation signal.Can find that through experiment the signal of above-mentioned two types (inertia direction signal and deformation signal) can have interference in various degree to this electrocardiosignal according to the difference of behavior act, and often in this electrocardiosignal be a plurality of noise signals of mixing said these types.
240 of the noise eliminators of the signal sensing device 200 of present embodiment can be in order to handle above-mentioned interference and to eliminate the noise more than above-mentioned at least one type.This major-minor multiple stage type noise eliminator 240 can with a kind of in this first kind signal and this second type of signal be a main signal and be an auxilliary signal with another kind, this electrocardiosignal is carried out the adaptive filter algorithm, to eliminate the said noise in this electrocardiosignal.In more detail; Major-minor multiple stage type noise eliminator 240 of the present invention can carry out correlation analysis with this electrocardiosignal respectively with this first kind signal, second type of signal earlier; If this first kind signal and this electrocardiosignal have higher dependency; Can judge that then the noise of learning in this electrocardiosignal is mainly produced by the inertia action; At this moment, major-minor multiple stage type noise eliminator 240 will be assisted signal for being somebody's turn to do with this this main signal of first kind signal and with this second type of signal, and carries out multiple stage type adaptive filter algorithm to eliminate the said noise in this electrocardiosignal.Yet, if this second type of signal and this electrocardiosignal have higher dependency, can judge that the noise of learning in this electrocardiosignal is mainly produced by the deformation that skin is pullled, major-minor relation then with above-mentioned opposite, then can analogize according to aforementioned by the mode of noise removing.Because present embodiment is an example with two types signal only; So this noise eliminator 240 can be major-minor two steps type at this; If the degree of association of right first kind signal or second type of signal one of them and this electrocardiosignal is very high; And another signal and electrocardiosignal dependency be when very low, and this major-minor multiple stage type noise eliminator 240 also can only carry out adaptive filtering to eliminate the noise of this electrocardiosignal to this relevant high signal to this electrocardiosignal, can not need again this electrocardiosignal be carried out the second rank adaptive filtering to this relevant low signal; Yet other embodiment needn't be as limit.In addition, this adaptive filter algorithm can multiple stage type lowest mean square (Least Mean Square) algorithm, recursive least-squares (Recurs ive Least Squares) algorithm or lattice type (Lattice) algorithm are carried out.
In addition, 200 in the signal sensing device of present embodiment other pick off of electrode and this that will measure electrocardiosignal separates.This signal sensing device 200 still comprises a body 250 except the electrode that is pasted on the measured, it is in order to carry this first kind signal transducer 210 and this second type of signal transducer 220.Owing to measure second type of signal transducer 220 that skin pulls deformation signal not on electrode patch, do not need to eliminate and change, so have the characteristic that can reuse because of use.
Except above-mentioned signal sensing device 200, another embodiment of the present invention provides a signal sensing method again.Fig. 3 A is the signal sensing method flow diagram according to present embodiment.This method comprises: in step S310, receive a first kind signal; In step S320, receive one second type of signal; Receive one the 3rd type of signal at step S330, wherein the 3rd type of signal comprises a plurality of noises; And in step S340, with a kind of in this first kind signal and this second type of signal be a main signal, be an auxilliary signal with another kind, carry out multiple stage type adaptive filter algorithm to eliminate the 3rd type of said noise in the signal.Fig. 3 B is the flow chart of another embodiment of step S340.Step S340 can comprise: the dependency of in step S341, judging this first kind signal and the 3rd type of signal; In step S342, judge the dependency of this second type of signal and the 3rd type of signal; And last, in step S343, with dependency in this first kind signal and this second type of signal high be this main signal, with another person for should auxilliary signal, execution multiple stage type adaptive filter algorithm is to eliminate the 3rd type of said noise in the signal.Wherein, above-mentioned adaptive filter algorithm can multiple stage type lowest mean square (Least Mean Square) algorithm, recursive least-squares (Recursive Least Squares) algorithm or lattice type (Lattice) algorithm are carried out.
Claims (19)
1. the signal sensing device of a tool noise cancellation comprises:
At least one first kind signal transducer is in order to receive a first kind signal;
At least one second type of signal transducer is in order to receive one second type of signal;
One signal receiver, in order to receive one the 3rd type of signal, wherein the 3rd type of signal comprises at least one noise; And
One major-minor multiple stage type noise eliminator, in order to:
Judge the dependency of this first kind signal and the 3rd type of signal;
Judge the dependency of this second type of signal and the 3rd type of signal; And
With dependency in this first kind signal and this second type of signal high be main signal, be auxilliary signal with another kind, carry out multiple stage type adaptive filter algorithm to eliminate the 3rd type of this noise in the signal.
2. the signal sensing device of tool noise cancellation as claimed in claim 1, wherein this second type of signal do not belong to this first kind signal.
3. the signal sensing device of tool noise cancellation as claimed in claim 1, wherein this first kind signal is an inertia direction signal.
4. the signal sensing device of tool noise cancellation as claimed in claim 1, wherein this second type of signal is a deformation signal.
5. the signal sensing device of tool noise cancellation as claimed in claim 1, wherein the 3rd type of signal is a physiology signal.
6. the signal sensing device of tool noise cancellation as claimed in claim 5, wherein this physiological signal electrocardiosignal especially.
7. the signal sensing device of tool noise cancellation as claimed in claim 1 also comprises: a body, and in order to carry this first kind signal transducer and this second type of signal transducer at least.
8. the signal sensing device of tool noise cancellation as claimed in claim 1, wherein this first kind signal transducer is an accelerometer.
9. the signal sensing device of tool noise cancellation as claimed in claim 1, wherein this first kind signal transducer is a gyroscope.
10. the signal sensing device of tool noise cancellation as claimed in claim 1, wherein this second type of signal transducer is a strain gauge.
11. the signal sensing device of tool noise cancellation as claimed in claim 1, wherein this second type of signal transducer is a pulling force sensor.
12. the signal sensing device of tool noise cancellation as claimed in claim 1, wherein this second type of signal transducer is a bend sensor.
13. the signal sensing device of tool noise cancellation as claimed in claim 1, wherein this signal receiver comprises an electrode.
14. the signal sensing device of tool noise cancellation as claimed in claim 3, wherein this inertia direction signal has at least one dimension.
15. the signal sensing device of tool noise cancellation as claimed in claim 4, wherein this deformation signal has at least one dimension.
16. a signal sensing method comprises:
Receive a first kind signal;
Receive one second type of signal;
Receive one the 3rd type of signal, wherein the 3rd type of signal comprises at least one noise;
Judge the dependency of this first kind signal and the 3rd type of signal;
Judge the dependency of this second type of signal and the 3rd type of signal; And
With dependency in this first kind signal and this second type of signal high be main signal, be auxilliary signal with another kind, carry out multiple stage type adaptive filter algorithm to eliminate the 3rd type of this noise in the signal.
17. signal sensing method as claimed in claim 16, wherein this multiple stage type adaptive filter algorithm comprises least mean square algorithm.
18. signal sensing method as claimed in claim 16, wherein this multiple stage type adaptive filter algorithm comprises the recursive least-squares algorithm.
19. signal sensing method as claimed in claim 16, wherein this multiple stage type adaptive filter algorithm comprises lattice type algorithm.
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Citations (3)
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| US5513649A (en) * | 1994-03-22 | 1996-05-07 | Sam Technology, Inc. | Adaptive interference canceler for EEG movement and eye artifacts |
| EP0805288A2 (en) * | 1996-04-30 | 1997-11-05 | Lucent Technologies Inc. | Apparatus and method for adaptive suppression of vibrations in mechanical systems |
| CN1595065A (en) * | 2004-07-08 | 2005-03-16 | 赵岳生 | Inertia moment measuring unit based on vector modulation method |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5513649A (en) * | 1994-03-22 | 1996-05-07 | Sam Technology, Inc. | Adaptive interference canceler for EEG movement and eye artifacts |
| EP0805288A2 (en) * | 1996-04-30 | 1997-11-05 | Lucent Technologies Inc. | Apparatus and method for adaptive suppression of vibrations in mechanical systems |
| CN1173653A (en) * | 1996-04-30 | 1998-02-18 | 朗迅科技公司 | Apparatus and method for adaptive suppression of vibrations in mechanical systems |
| CN1595065A (en) * | 2004-07-08 | 2005-03-16 | 赵岳生 | Inertia moment measuring unit based on vector modulation method |
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