Wearable heart failure monitor patch

• US 20150057512A1
• Filed: 08/18/2014
• Published: 02/26/2015
• Est. Priority Date: 11/16/2011
• Status: Abandoned Application

• Current Assignee: Rijuven Corp.
• Original Assignee: Rijuven Corp.
• Inventors: Kapoor, Rajeshwar
• Application Number:
  US14/121,307
• Publication Number:
  US 20150057512A1
• Time in Patent Office: Days
• US Class Current: 600/324
• CPC Class Codes: A61B 2560/0412 Low-profile patch shaped housings
• CPC Class Codes: A61B 2562/227 Sensors with electrical connectors
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/25 Bioelectric electrodes therefor
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6815 Ear
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 7/00 Instruments for auscultation
• CPC Class Codes: A61B 7/02 Stethoscopes acoustic details thereof G10K11/00
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

The invention is directed to a system for acquiring electrical footprint of the heart, electrocardiogram (EKG or ECG), heart sound, heart rate, nasal airflow and pulse oximetry incorporated into a mobile device accessory. The ECG and heart sound signals are conveniently acquired and transmitted to a server via the mobile device, offering accurate heart failure analysis, and sleep disorder breathing indication.

Claims

1. A method of determining and using a mechanical and electrical footprint of the heart comprising:

a. Acquiring an electrical of the heart;

b. Acquiring a mechanical footprint of the heart;

c. Synchronizing the mechanical and electrical footprints of the heart;

d. Detecting a non-active state;

e. Determining via a processor a time period between R peak of the electrical footprint of the heart and the first heart sound, per the detection of the non-active state;

f. Determining via the processor a time period the first and second heart sound of the mechanical footprint of the heart, per the detection of the non-active state;

g. Calculating systolic performance index (SPI) from the time period between R peak of the electrical footprint of the heart and the first heart sound, and the time period the first and second heart sound of the mechanical footprint of the heart;

h. Correlating left ventricular ejection fraction parameter from the SPI calculation.

2. The method according to claim 1, further comprising of determining the time period between aortic component of the second heart sound to onset of filling by opening of the mitral valve.

3. The method according to claim 1 wherein the heart'"'"'s electrical and mechanical footprints are transmitted to a mobile device.

4. The method according to claim 1 wherein electrical footprint of the heart is electrocardiogram (ECG).

5. The method according to claim 4 wherein cardiac rhythm abnormalities are derived from the ECG.

6. The method according to claim 1 wherein mechanical footprint of the heart is phonocardiogram.

7. The method according to claim 1 wherein the acquisition of the ECG and phonocardiogram are from a chest patch with dry ECG sensors and piezoelectric microphone, with backing which contains adhesive that adheres to the user.

9. The system according to claim 7, further comprising of determining the time period between aortic component of the second heart sound to onset of filling by opening of the mitral valve.

10. The system according to claim 7, wherein the myocardial performance index is derived.

11. The system according to claim 7 wherein the heart'"'"'s electrical and mechanical footprints are transmitted to a mobile device.

12. The system according to claim 7 wherein electrical footprint of the heart is electrocardiogram (ECG).

13. The system according to claim 12 wherein cardiac rhythm abnormalities are derived from the ECG.

14. The system according to claim 7 wherein mechanical footprint of the heart is phonocardiogram.

15. The system according to claim 7 wherein the acquisition of the ECG and phonocardiogram are from a chest patch with dry ECG sensors and piezoelectric microphone, with backing which contains adhesive that adheres to the user.

16. The system according to claim 7, further acquiring pulse oximeter parameter.

17. The system according to claim 7, further acquiring nasal air pressure parameter is acquired.

18. The system according to claim 7, further acquiring sleep disorder breathing parameter.

8. A system for determining and using a mechanical and electrical footprint of the heart comprising:

a. A sensor device with biological sensors, wherein said sensor device contains non-transitory computer readable medium, a processor and software being executed to perform the following;

b. Acquiring an electrical of the heart;

c. Acquiring a mechanical footprint of the heart;

d. Synchronizing the mechanical and electrical footprints of the heart;

e. Detecting a non-active state;

f. Determining a time period between R peak of the electrical footprint of the heart and the first heart sound, per the detection of the non-active state;

g. Determining a time period the first and second heart sound of the mechanical footprint;

h. Calculating systolic performance index (SPI) from the time period between R peak of the electrical footprint of the heart and the first heart sound, and the time period the first and second heart sound of the mechanical footprint of the heart;

i. Correlating left ventricular ejection fraction parameter from the SPI calculation.

19. A system for determining and using a mechanical and electrical footprint of the heart comprising:

a. A sensor device with biological sensors, wherein said sensor device contains non-transitory computer readable, a processor and software being executed to do the following;

b. Acquiring an electrical of the heart;

c. Acquiring a mechanical footprint of the heart;

d. Synchronizing the mechanical and electrical footprints of the heart;

e. Detecting a non-active state;

f. Determining a time period between R peak of the electrical footprint of the heart and the first heart sound, per the detection of the non-active state;

g. Determining a time period the first and second heart sound of the mechanical footprint, per the detection of the non-active state;

h. Calculating systolic performance index (SPI) from the time period between R peak of the electrical footprint of the heart and the first heart sound, and the time period the first and second heart sound of the mechanical footprint of the heart;

i. Correlating left ventricular ejection fraction parameter from the SPI calculation;

j. Determining a time period between aortic component of the second heart sound to onset of filling by opening of the mitral valve, per the detection of the non-active state;

k. Deriving myocardial performance index from the R peak of the electrical footprint of the heart and the first heart sound, the time period the first and second heart sound of the mechanical footprint and the time period between aortic component of the second heart sound to onset of filling by opening of the mitral valve, per the detection of the non-active state.