SIGNAL SENSING APPARATUS AND METHOD THEREOF

• US 20100274532A1
• Filed: 08/08/2009
• Published: 10/28/2010
• Est. Priority Date: 04/28/2009
• Status: Abandoned Application

• Current Assignee: Industrial Technology Research Institute
• Original Assignee: Industrial Technology Research Institute
• Inventors: Lee, Wen-Ching, Ke, Ting-Chen, Ouyang, Yi-Shiang
• Application Number:
  US12/538,132
• Publication Number:
  US 20100274532A1
• Time in Patent Office: Days
• US Class Current: 702/191
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured

Abstract

A signal sensing apparatus eliminating noise is provided, having at least a first class signal sensor for receiving at least a first class signal, at least a second class signal sensor for receiving at least a second class signal, a signal receiver for receiving a signal, wherein the signal comprises at least a noise; and a master-slave multiple noise eliminator for performing a multiple adaptive filter algorithm to eliminate noise in the signal by using one of the at least a first class signal or second class signal as a master signal and one of the at least a first class signal or second class signal not used as a master signal as a slave signal.

Claims

1. A signal sensing apparatus, comprising:

a first class signal sensor for receiving a first class signal;

a second class signal sensor for receiving a second class signal;

a main signal receiver for receiving a signal; and

a master-slave multiple noise eliminator for performing a multiple adaptive filter algorithm to eliminate a noise in the signal by using one of the first class signal or second class signal as a master signal and another one of the first class signal or second class signal as a slave signal.

2. The signal sensing apparatus as claimed in claim 1, wherein the first class signal sensor is an inertia sensor.

3. The signal sensing apparatus as claimed in claim 1, wherein the second class signal sensor is a deformation sensor.

4. The signal sensing apparatus eliminating noise as claimed in claim 1, wherein the signal is a physiological signal.

5. The signal sensing apparatus as claimed in claim 4, wherein the physiological signal is an electrocardiogram signal.

6. The signal sensing apparatus as claimed in claim 1, wherein the master-slave multiple noise eliminator:

calculates correlation between the first class signal and the signal;

calculates correlation between the second class signal and the signal; and

uses the first class signal or second class signal which has the highest correlation with the signal as the master signal, and uses the first class signal or second class signal which has the lowest correlation with the signal as the slave signal, to perform the multiple adaptive filter algorithm to eliminate noise in the signal.

7. The signal sensing apparatus as claimed in claim 1 further comprising:

a body for bearing the first class signal sensor and the second class signal sensor.

8. The signal sensing apparatus as claimed in claim 2, wherein the first class sensor is an accelerometer.

9. The signal sensing apparatus as claimed in claim 2, wherein the first class sensor is a gyroscope.

10. The signal sensing apparatus as claimed in claim 3, wherein the second class sensor is a strain gauge.

11. The signal sensing apparatus as claimed in claim 3, wherein the second class sensor is a tension sensor.

12. The signal sensing apparatus as claimed in claim 3, wherein the second class sensor is a bending sensor.

13. The signal sensing apparatus as claimed in claim 4, wherein the signal receiver comprises an electrode.

14. A signal sensing method, comprising:

receiving a first class signal;

receiving a second class signal;

receiving a signal, wherein the signal comprises at least one class of noise; and

performing a multiple adaptive filtering process to eliminate the noise in the signal by using one of the first class signal or second class signal as a master signal and another one of the first class signal or second class signal as a slave signal.

15. The signal sensing method as claimed in claim 14, wherein the step for performing a Multiple adaptive filtering process to eliminate the noise in the signal by using one of the first class signal or second class signal as a master signal and another one of the first class signal or second class signal as a slave signal, comprising:

calculating a correlation between the first class signal and the signal;

calculating a correlation between the second class signal and the signal; and

using one of the first class signal and second class signal, which has the highest correlation with the signal as the master signal, and using another one of the first class signal and second class signal, which has the lowest correlation with the signal as the slave signal, to perform the multiple adaptive filter algorithm to eliminate noise in the signal.

16. The signal sensing method as claimed in claim 14, wherein the multiple adaptive filtering process comprises a Least Mean Square algorithm.

17. The signal sensing method as claimed in claim 14, wherein the multiple adaptive filtering process comprises a Recursive Least Square algorithm.

18. The signal sensing method as claimed in claim 14, wherein the multiple adaptive filtering process comprises the Lattice algorithm.