Method and apparatus for ECG-derived sleep disordered breathing monitoring, detection and classification

• US 20070032733A1
• Filed: 07/18/2006
• Published: 02/08/2007
• Est. Priority Date: 01/16/2004
• Status: Abandoned Application

• Current Assignee: Compumedics Limited
• Original Assignee: Compumedics Limited
• Inventors: Burton, David
• Application Number:
  US11/490,589
• Publication Number:
  US 20070032733A1
• Time in Patent Office: Days
• US Class Current: 600/509
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening
• CPC Class Codes: A61B 5/4035 Evaluating the autonomic nervous system
• CPC Class Codes: A61B 5/412 Detecting or monitoring sepsis
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

An apparatus is disclosed for detecting sleep disordered breathing (SDB), cardiac events and/or heart rate variability (HRV) in a subject from a physiological electrocardiogram (ECG) signal. The apparatus includes means for monitoring the ECG signal and means for extracting from the ECG signal parameters indicative of the SDB, cardiac events and/or HRV. The apparatus also includes means utilizing the parameters to detect the SDB, cardiac events and/or HRV. The SDB, cardiac events and/or HRV may be detected in real time, breath by breath and/or post acquisition of the ECG signal. The apparatus may include means for determining a treatment for the SDB, cardiac events and/or HRV. An electromyogram (EMG) signal may be extracted from the ECG signal to provide a marker for distinguishing OSA from CSA. The marker may indicate that treatment levels should be varied to avoid elevated cardiac risk. A method of detecting SDB, cardiac events and/or HRV in the subject is also disclosed.

Claims

1. A method of detecting physiological events in a subject from a physiological electrocardiogram (ECG) signal, said method characterized by the steps of:

i) monitoring said ECG signal;

ii) extracting from said ECG signal parameters indicative of said events; and

iii) utilizing said parameters to detect said events so as to distinguish obstructive sleep apnea (OSA) from central sleep apnea (CSA).

2. A method according to claim 1 wherein said parameters are derived respiratory parameters from said ECG signal and include respiratory effort or residual respiration indicative of OSA classification.

3. A method according to claim 1 or 2 wherein said parameters include an absence of respiration or diminished respiratory effort or respiration, each being indicative of CSA classification.

4. A method according to claim 1, 2 or 3 wherein said physiological events are derived from interaction between the heart and lungs of said subject.

5. A method according to any one of the preceding claims wherein said detected physiological events include one or a combination of:

cardiac events including incidence of arrhythmia and/or atrial fibrillation; and

sleep disordered breathing (SDB) classified into at least one of apnea, hypopnea, shallow breathing, CSR, CSA, OSA, MSA, arousal, body movement, artifact, RERA, TERA and unclassified SDB wherein classifying said SDB into CSR includes monitoring heart rate variability (HRV) and/or cardiogenic oscillations, at least for subjects diagnosed with congestive heart failure.

6. A method according to any one of the preceding claims wherein said step of utilizing further includes the step of:

comparing said ECG signal and/or said extracted parameters with at least one predetermined signal pattern and/or at least one threshold level and/or a reference database which defines normal/safe or abnormal/risk operating regions.

7. A method according to any one of the preceding claims wherein said parameters include one or more of:

at least one of low frequency power, high frequency power, ratio of low frequency to high frequency power, HRV, R to R intervals, respiratory signal, abdominal breathing effort signal, thoracic breathing effort signal and EMG breathing effort signal; and

blood pressure variation and/or onset of hypertension and/or risk or severity of heart disease.

8. A method according to any one of the preceding claims further including the step of:

determining a treatment or countermeasure for said detected physiological events wherein the treatment or countermeasure includes one or a combination of;

APAP, CPAP, BIPAP, VPAP, ventilation, oxygen concentration, pacemaker, drug administration and/or drug perfusion.

9. A method according to claim 8 wherein said step of determining is adapted to prevent arrhythmia or a condition which may lead to elevated cardiac risk including excessive blood pressure and/or a state of hypertension wherein said step of determining further includes the step of:

varying said treatment or countermeasure to avoid an abnormal ECG signal or an ECG signal that reflects said elevated cardiac risk.

10. A method according to any one of the preceding claims wherein said ECG signal has sufficient bandwidth to enable extraction of an electromyogram (EMG) signal wherein said EMG signal provides a marker for distinguishing breathing effort characteristic of OSA classification from breathing effort characteristic of CSA classification.

11. A method according to claim 10 wherein said marker, being characteristic of OSA classification, includes an increased EMG signal indicative of breathing effort and said marker, being characteristic of CSA classification, includes a decreased EMG signal indicative of breathing effort or an absence of EMG signal indicative of breathing effort.

12. A method according to any one of the preceding claims wherein said ECG signal is provided via one or more electrodes attached to said subject such that abdominal breathing effort and thoracic breathing effort may be monitored separately.

13. A method according to any one of the preceding claims further characterized by one of the following:

wherein said method is performed in real time;

wherein said method is performed breath by breath;

wherein said method is performed post offline or acquisition of said ECG signal.

14. Apparatus for detecting physiological events in a subject from a physiological electrocardiogram (ECG) signal, including:

i) monitoring means for monitoring said ECG signal;

ii) extracting means for extracting from said ECG signal parameters indicative of said events; and

iii) means utilizing said parameters to detect said events including distinguishing means for distinguishing obstructive sleep apnea (OSA) from central sleep apnea (CSA).

15. Apparatus according to claim 14 wherein said distinguishing means includes means for deriving respiratory parameters from said ECG signal and said derived respiratory parameters include respiratory effort or residual respiration indicative of OSA classification.

16. Apparatus according to claim 14 or 15 wherein said parameters include an absence of respiration or diminished respiratory effort or respiration, each being indicative of CSA classification.

17. Apparatus according to claim 14, 15 or 16 wherein said physiological events are derived from interaction between the heart and lungs of said subject.

18. Apparatus according to any one of claims 14 to 17 wherein said utilizing means includes one or a combination of:

detecting means for detecting cardiac events including incidence of arrhythmia and/or atrial fibrillation; and

classifying means for classifying sleep disordered breathing (SDB) into at least one of apnea, hypopnea, shallow breathing, CSR, CSA, OSA, MSA, arousal, body movement, artifact, RERA, TERA and unclassified SDB wherein said classifying means further includes monitoring means for monitoring heart rate variability (HRV) and/or cardiogenic oscillations, at least for subjects diagnosed with congestive heart failure.

19. Apparatus according to any one of claims 14 to 18 wherein said utilizing means is adapted to compare said ECG signal and/or said extracted parameters with at least one predetermined signal pattern and/or at least one threshold level and/or a reference database which defines normal/safe or abnormal/risk operating regions.

20. Apparatus according to any one of claims 14 to 19 wherein said parameters include one or more of:

at least one of low frequency power, high frequency power, ratio of low frequency to high frequency power, HRV, R to R intervals, respiratory signal, abdominal breathing effort signal, thoracic breathing effort signal and EMG breathing effort signal; and

blood pressure variation and/or onset of hypertension and/or risk or severity of heart disease.

21. Apparatus according to any one of claims 14 to 20 further including means for determining a treatment or countermeasure for said detected physiological events wherein the treatment or countermeasure includes one or a combination of:

APAP, CPAP, BIPAP, VPAP, ventilation, oxygen concentration, pacemaker, drug administration and/or drug perfusion.

22. Apparatus according to claim 21 wherein said means for determining is adapted to prevent arrhythmia or a condition which may lead to elevated cardiac risk including excessive blood pressure and/or a state of hypertension wherein said means for determining further includes:

means for varying said treatment or countermeasure to avoid an abnormal ECG signal or an ECG signal that reflects said elevated cardiac risk.

23. Apparatus according to any one of claims 14 to 22 wherein said ECG signal has sufficient bandwidth to enable extraction of an electromyogram (EMG) signal wherein said EMG signal provides a marker for distinguishing breathing effort characteristic of OSA classification from breathing effort characteristic of CSA classification.

24. Apparatus according to claim 23 wherein said marker, being characteristic of OSA classification, includes an increased EMG signal indicative of breathing effort and said marker, being characteristic of CSA classification, includes a decreased EMG signal indicative of breathing effort or an absence of EMG signal indicative of breathing effort.

25. Apparatus according to any one of claims 14 to 24 wherein said monitoring means includes at least one ECG electrode attached to said subject such that abdominal breathing effort and thoracic breathing effort may be monitored separately.

26. Apparatus according to claim 25 wherein at least one impedance path between said ECG electrodes is substantially orthogonal relative to another impedance path between said electrodes.

27. An ambulatory holter device including apparatus according to any one of claims 14 to 26.