COMPUTER-IMPLEMENTED METHOD FOR DETERMINING PHYSICAL MOVEMENTS OF A BODY ORGAN

• US 20140081088A1
• Filed: 03/18/2013
• Published: 03/20/2014
• Est. Priority Date: 09/17/2012
• Status: Abandoned Application

• Current Assignee: Holux Technology Incorporated
• Original Assignee: Holux Technology Incorporated
• Inventors: TAO, TEH HO, HU, SHIH JEN
• Application Number:
  US13/846,179
• Publication Number:
  US 20140081088A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/05 Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves impedance plethysmography A61B5/0295; measuring movement of the entire body or parts thereof A61B5/11; detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof A61B5/24
• CPC Class Codes: A61B 5/1102 Ballistocardiography
• CPC Class Codes: A61B 5/1107 Measuring contraction of parts of the body, e.g. organ, muscle apparatus for measuring work or force in general G01L
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: A61B 5/7257 using Fourier transforms

Abstract

A computer-implemented method for determining physical movements of a body organ includes steps of calculating a preliminary average of a plurality of measured data from the body organ at a sampling frequency; receiving an incoming data from the body organ; calculating a signal frequency from the incoming data and the measured data; calculating an average parameter taking the signal frequency and the sampling frequency into consideration; checking if the average parameter is different from a stored parameter; and calculating an average value of the physical movement of the body organ using the average parameter if the average parameter is different from the stored parameter.

Claims

1. A computer-implemented method for determining physical movements of a body organ, comprising steps of:

calculating a preliminary average of a plurality of measured data from the body organ at a sampling frequency;

receiving an incoming data from the body organ;

calculating a signal frequency from the incoming data and the measured data;

calculating an average parameter taking the signal frequency and the sampling frequency into consideration;

checking if the average parameter is different from a stored parameter; and

calculating an average value of the physical movement of the body organ using the average parameter if the average parameter is is different from the stored parameter.

2. The method for determining physical movements of a body organ of claim 1, wherein the calculating of the average value is performed by adding the incoming data to the preliminary average if the average parameter is larger than the stored parameter.

3. The method for determining physical movements of a body organ of claim 1, wherein the calculating of the average value is performed by adding the incoming data to the preliminary average and subtracting two earliest data from the preliminary average if the average parameter is smaller than the stored parameter.

4. The method for determining physical movements of a body organ of claim 1, wherein the calculating of the average value is performed by adding the incoming data to the preliminary average and subtracting an earliest data from the preliminary average if the average parameter is equal to the stored parameter.

5. The method for determining physical movements of a body organ of claim 1, wherein the calculating of the signal frequency comprises applying a Fast Fourier Transform (FFT) to the incoming data and the measured data.

6. The method for determining physical movements of a body organ of claim 1, further comprising a step of updating the stored parameter with the average parameter.

7. The method for determining physical movements of a body organ of claim 1, wherein the physical movements are or breath.

8. The method for determining physical movements of a body organ of claim 1, comprising a step of using a non-contact measurement scheme to detect the movement of the body organ.

9. The method for determining physical movements of a body organ of claim 8, wherein an ultra wideband (UWB) electromagnetic sensor or an optical sensor is employed to detect the movement of the body organ.

10. A computer system programmed for executing instructions for determining physical movements of a body organ, wherein the instructions are configured to cause the computer system to perform steps of:

calculating a preliminary average of a plurality of measured data from the body organ at a sampling frequency;

receiving an incoming data from the body organ;

calculating a signal frequency from the incoming data and the measured data;

calculating an average parameter taking the signal frequency and the sampling frequency into consideration;

checking if the average parameter is different from a stored parameter; and

calculating an average value of the physical movement of the body organ using the average parameter if the average parameter is different from the stored parameter.

11. The computer system of claim 10, wherein the calculating of the average value is performed by adding the incoming data to the preliminary average if the average parameter is larger than the stored parameter.

12. The computer system of claim 10, wherein the calculating of the average value is performed by adding the incoming data to the preliminary average and subtracting two earliest data from the preliminary average if the average parameter is smaller than the stored parameter.

13. The computer system of claim 10, wherein the calculating of the average value is performed by adding the incoming data to the preliminary average and subtracting an earliest data from the preliminary average if the average parameter is equal to the stored parameter.

14. The computer system of claim 10, wherein the calculating of the signal frequency comprises applying a Fast Fourier Transform (FFT) to the incoming data and the measured data.

15. The computer system of claim 10, further comprising a step of updating the stored parameter with the average parameter.

16. The computer system of claim 10, wherein the physical movements are heartbeats or breath.

17. The computer system of claim 10, wherein the measured data is acquired by using a non-contact measurement scheme to detect the movement of the body organ.

18. The computer system of claim 17, wherein an ultra wideband (UWB) electromagnetic sensor or an optical sensor is employed to detect the movement of the body organ.

19. A computer readable media having a computer program encoded therein for determining physical movements of a body organ, that when executed by a computer, perform the following steps of:

calculating a preliminary average of a plurality of measured data from the body organ at a sampling frequency;

receiving an incoming data from the body organ;

calculating a signal frequency from the incoming data and the measured data;

calculating an average parameter taking the signal frequency and the sampling frequency into consideration;

checking if the average parameter is different from a stored parameter; and

calculating an average value of the physical movement of the body organ using the average parameter if the average parameter is different from the stored parameter.

20. The computer readable media of claim 19, wherein the calculating of the average value is performed by adding the incoming data to the preliminary average if the average parameter is larger than the stored parameter.

21. The computer readable media of claim 19, wherein the is calculating of the average value is performed by adding the incoming data to the preliminary average and subtracting two earliest data from the preliminary average if the average parameter is smaller than the stored parameter.

22. The computer readable media of claim 19, wherein the calculating of the average value is performed by adding the incoming data to the preliminary average and subtracting an earliest data from the preliminary average if the average parameter is equal to the stored parameter.

23. The computer readable media of claim 19, wherein the calculating of the signal frequency comprises applying a Fast Fourier Transform (FFT) to the incoming data and the measured data.

24. The computer readable media of claim 19, further comprising a step of updating the stored parameter with the average parameter.

25. The computer readable media of claim 19, wherein the physical movements are heartbeats or breath.