System and method for quantitative analysis of respiratory sinus arrhythmia

• US 9,380,948 B1
• Filed: 07/25/2013
• Issued: 07/05/2016
• Est. Priority Date: 07/25/2013
• Status: Active Grant

• Current Assignee: Physiolguard Corporation Limited
• Original Assignee: Men-Tzung Lo, Yung-Hung Wang
• Inventors: Wang, Cheng-Yen, Wang, Yung-Hung, Hu, Han-Hwa, Lo, Men-Tzung, Lin, Chen, Chang, Yi-Chung, Hu, Kun
• Primary Examiner(s): Cheng, Jacqueline
• Assistant Examiner(s): PREMRAJ, ANGELINE L
• Application Number:
  US13/950,702
• Time in Patent Office: 1,076 Days
• US Class Current: 1/1
• 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 5/024 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 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/7253 characterised by using transforms
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence

Abstract

A computer-assisted method for quantitative analysis of respiratory sinus arrhythmia (RSA) includes obtaining a time series of a cardiac interval signal from an individual, obtaining a time series of a respiratory signal from the individual; decomposing the cardiac interval signal into a first group of ensemble empirical modes; obtaining, by a computer system, a time series of RSA instantaneous amplitude from at least one of the first group of ensemble empirical modes; decomposing the respiratory signal into a second group of ensemble empirical modes; obtaining a time series of respiratory instantaneous phase from the one of the second group of ensemble empirical modes; determining respiratory period from the time series of the respiratory instantaneous phase; and quantifying RSA in the individual according to a dependence of the RSA instantaneous amplitude on the respiratory period.

Claims

1. A computer-assisted method for quantitative analysis of respiratory sinus arrhythmia (RSA), comprising:

obtaining a time series of a cardiac interval signal from an individual using a first probe;

obtaining a time series of a respiratory signal from the individual using a second probe;

receiving the time series of the cardiac interval signal and the time series of the respiratory signal by an analyzer in connection with the first probe and the second probe;

decomposing the cardiac interval signal into a first group of ensemble empirical modes using the analyzer;

obtaining, by a computer system in the analyzer, a time series of RSA instantaneous amplitude from at least one in the first group of ensemble empirical modes;

decomposing the respiratory signal into a second group of ensemble empirical modes;

obtaining a time series of respiratory instantaneous phase from one of the second group of ensemble empirical modes;

determining respiratory period from the time series of the respiratory instantaneous phase;

quantifying RSA in the individual at least in part according to a dependence of the RSA instantaneous amplitude on the respiratory period, and

displaying a graphic pattern on a respiratory feedback device in communication with the analyzer, wherein the graphic pattern shows dependence of the RSA instantaneous amplitude on the respiratory period,

wherein the individual adjusts a breathing pattern to maximize amplitude of the graphic pattern and closeness to a goal of the graphic pattern to improve respiratory functions of the individual.

2. The computer-assisted method of claim 1, further comprising:

calculating a standard deviation or an envelope of the RSA instantaneous amplitude to quantify a degree of RSA in the individual.

3. The computer-assisted method of claim 1, further comprising:

obtaining, by the computer system, a time series of RSA instantaneous phase from at least one in the first group of ensemble empirical modes; and

quantifying RSA in the individual at least in part according to a dependence of the RSA instantaneous phase on the respiratory instantaneous phase.

4. The computer-assisted method of claim 1, further comprising:

obtaining, by the computer system, a time series of respiratory instantaneous amplitude from at least one of the second group of ensemble empirical modes; and

quantifying RSA in the individual at least in part according to a dependence of the respiratory instantaneous amplitude on the respiratory period.

5. The computer-assisted method of claim 1, wherein the step of obtaining, by a computer system, a time series of RSA instantaneous amplitude comprises:

selecting at least one in the first group of ensemble empirical modes that is associated with a dominant respiratory frequency in the respiratory signal.

6. The computer-assisted method of claim 5, wherein the dominant respiratory frequency resides in a frequency band from 0.1 Hz to 0.6 Hz.

7. The computer-assisted method of claim 5, further comprising:

removing noise from the selected at least one in the first group of ensemble empirical modes.

8. The computer-assisted method of claim 5, wherein the step of obtaining, by a computer system, a time series of RSA instantaneous amplitude further comprises:

applying a Hilbert transform to the selected one in the first group of ensemble empirical modes to produce the RSA instantaneous amplitude.

17. The computer-assisted method of claim 1, further comprising:

providing a therapeutic procedure to improve respiratory functions of the individual using the respiratory feedback device in communication with the analyzer in accordance with the dependence of the RSA instantaneous amplitude on the respiratory period.

18. The computer-assisted method of claim 1, wherein the graphic pattern includes multiple petals whose sizes are positively associated with an amplitude or a degree of the RSA in the individual.

19. The computer-assisted method of claim 18, wherein the breathing pattern is adjusted by the individual to maximize sizes and completeness of the multiple petals, wherein the amplitude of each petal is its size and the goal of each petal is its completeness.

9. A computer-assisted method for quantitative analysis of respiratory sinus arrhythmia (RSA), comprising:

obtaining a time series of a cardiac interval signal from an individual;

decomposing the cardiac interval signal into a first group of ensemble empirical modes;

obtaining, by a computer system, a time series of RSA instantaneous amplitude from at least one in the first group of ensemble empirical modes;

obtaining a time series of RSA instantaneous phase from at least one in the first group of ensemble empirical modes;

determining a respiratory period from the time series of the RSA instantaneous phase; and

quantifying RSA in the individual, at least in part, according to a dependence of the RSA instantaneous amplitude on the respiratory period.

10. The computer-assisted method of claim 9, further comprising:

calculating a standard deviation or an envelope of the RSA instantaneous amplitude to quantify a degree of RSA in the individual.

11. The computer-assisted method of claim 9, further comprising:

obtaining a time series of a respiratory signal from the individual; and

decomposing the respiratory signal into a second group of ensemble empirical modes.

12. The computer-assisted method of claim 11, further comprising:

obtaining a time series of respiratory instantaneous phase from one of the second group of ensemble empirical modes; and

quantifying RSA in the individual at least in part according to a dependence of the RSA instantaneous phase on the respiratory instantaneous phase.

13. The computer-assisted method of claim 11, further comprising:

obtaining, by the computer system, a time series of respiratory instantaneous amplitude from at least one of the second group of ensemble empirical modes; and

quantifying RSA in the individual at least in part according to a dependence of the respiratory instantaneous amplitude on the respiratory period.

14. The computer-assisted method of claim 9, wherein the step of obtaining, by a computer system, a time series of RSA instantaneous amplitude comprises:

selecting at least one in the first group of ensemble empirical modes that is associated with a dominant respiratory frequency.

15. The computer-assisted method of claim 14, wherein the dominant respiratory frequency resides in a frequency band from 0.1 Hz to 0.6 Hz.

16. The computer-assisted method of claim 14, wherein the step of obtaining, by a computer system, a time series of RSA instantaneous amplitude further comprises:

applying a Hilbert transform to the selected one in the first group of ensemble empirical modes to produce the RSA instantaneous amplitude.