Method for detecting heart beat and determining heart and respiration rate

• US 20070149883A1
• Filed: 02/09/2005
• Published: 06/28/2007
• Est. Priority Date: 02/10/2004
• Status: Abandoned Application

• Current Assignee: Itshak Yesha
• Original Assignee: Itshak Yesha
• Inventors: Yesha, Itshak
• Application Number:
  US10/596,996
• Publication Number:
  US 20070149883A1
• Time in Patent Office: Days
• US Class Current: 600/485
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1102 Ballistocardiography
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/6892 Mats

Abstract

Disclosed is an apparatus and system for non-invasively detecting and determining the heart rate and respiration rate of a patient, while the patient is within their sleep environment, suitable for both home and hospital monitoring, which includes an array of at least two pressure-sensitive sensors, positioned under the mattress, which gathers data from the patient corresponding to the vertical and horizontal movements of the body, and wherein the data from each sensor is collected, filtered, and analyzed and finally, the difference between the results gathered from each sensor detects and determines heart and respiration rates.

Claims

1. A method for non-invasive monitoring of subject heartbeat rate, said method comprised of:

Collecting pressure changes received from at least two sensors located beneath the subject'"'"'s body;

Finding the difference between at least two sensor signal measurements;

analyzing the difference signal for identifying and detecting heartbeats or heart rate.

2. The method of claim 1 further comprising the step of filtering the calculated difference signal for reducing background noise and respiratory artifact and other body movements in accordance with predefined signal frequency band values.

3. The method of claim 1 further comprising the step of identifying the respiration rate.

4. The method of claim 1 further comprising the step of calculating the sum of at least two signal measurements and filtering and analyzing the calculated sum signal in combination with the difference signal for identifying and detecting the heartbeat rate and respiration rate.

5. The method of claim 1 further comprising the step of calculating the maximum difference signal between sets of sensors, wherein the identification and detection of the heartbeat rate is based on said maximum signal difference.

6. The method of claim 1 further comprising the step of calibration for calculating the pre-defined filter signal frequency band values, wherein calibration is based on the FFT algorithm.

7. The method of claim 1 wherein the filtering is preformed by a high pass filter, wherein the cut off frequency is twice a pre-defined heart rate.

8. The method of claim 1 wherein the analyzing includes identifying peak values of the filtered signal.

9. The method of claim 1 wherein at least one sensor is located beneath the lower part of the subject'"'"'s body and at least one sensor is located beneath the upper part of the subject'"'"'s body.

10. The method of claim 1 wherein the difference signal represents the horizontal movements of the subject and the analyzing includes detection of blood circulation.

11. A system for non-invasive monitoring of subject heartbeat rate, said system comprised of:

at least two sensors located beneath the subject'"'"'s body for measuring pressure changes;

an electronic mechanism for finding the difference between at least two sensor signal measurements;

a processing module for analyzing the difference signal to identify and detect the heartbeats or heart rate.

12. The system of claim 11 further comprising a filtering module for reducing background noise of the difference signal in accordance with pre-defined signal frequency band values

13. The system of claim 11 wherein the processing module further identifies the respiration rate

14. The system of claim 11 wherein the electronic mechanism further calculates the sum of at least two signal measurements and the processing module further analyzes the calculated sum signal in combination with the difference signal for identifying and detecting the heartbeat rate and respiration rate.

15. The system of claim 11 wherein the electronic mechanism further calculates the maximum difference signal between sets of sensors, wherein the identification and detection of the heartbeat rate is based on said maximum signal difference.

16. The system of claim 11 further comprising a calibration module for calculating the pre-defined signal frequency band values, wherein calibration is based on the FFT algorithm.

17. The system of claim 11 wherein the filtering module is a high pass filter, wherein the cut off frequency is twice a pre-defined heart rate.

18. The system of claim 11 wherein at least one sensor is located beneath the lower part of the subject'"'"'s body and at least one sensor is located beneath the upper part of the subject'"'"'s body.

19. The system of claim 11 wherein the analyzing includes identifying peak values of the filtered signal.

20. The system of claim 11 wherein the difference signal represents the horizontal movements of the subject and the filtering and analyzing includes detection of the blood circulation.

21. The system of claim 11 wherein the sensors are integrated within a single rigid housing.