Feature characterization for breathing monitor

• US 10,226,225 B2
• Filed: 07/14/2011
• Issued: 03/12/2019
• Est. Priority Date: 07/14/2010
• Status: Active Grant

• Current Assignee: Acurable Limited
• Original Assignee: Acurable Limited
• Inventors: Rodriguez-Villegas, Esther, Aguilar Pelaez, Eduardo, Chen, Guangwei
• Primary Examiner(s): Natnithithadha, Navin
• Application Number:
  US13/810,075
• Publication Number:
  US 20130331722A1
• Time in Patent Office: 2,798 Days
• Field of Search: 600529-543
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/0826 Detecting or evaluating apnoea events A61B5/4818 takes precedence
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A method of identifying a breath comprises sensing a signal generated by a living human or animal body and separating the signal into a plurality of frequency bands to identify a breath candidate.

Claims

1. A method of monitoring respiratory activity comprising:

sensing a sound signal generated by a living human or animal body using a detector;

separating the sound signal into more than two frequency bands using a processing apparatus;

identifying a start point or an end point of an inspiration or expiration breath candidate by detecting as a feature of the sound signal a minimum or turning point, or based on a previous end point or start point using the processing apparatus;

identifying a segment of the sound signal as a breath candidate based on the identified start point or end point using the processing apparatus;

analyzing the segment of the sound signal identified as a breath candidate to detect an actual breath inspiration or expiration event using the processing apparatus; and

taking one or more of the following actions;

triggering an alarm or warning based on a timing of the actual breath inspiration or expiration event;

or

presenting a classification of the actual breath inspiration or expiration event in a visual, numeric, or auditory display.

2. The method of claim 1, further comprising applying a signal processing step to each separated band of the more than two frequency bands using the processing apparatus, and optionally wherein the signal processing step comprises at least one of subtracting an interference signal, scaling harmonics, delaying harmonics, filtering a DC signal, rectifying the sound signal, removing artifacts, smoothing the sound signal or filtering components above or below a frequency threshold.

3. The method of claim 1, further comprising comparing frequency band values to identify the breath candidate using the processing apparatus.

4. The method of claim 1, further comprising identifying, using the processing apparatus, a time at which the sound signal in at least one of the separated bands of the more than two frequency bands has risen a predetermined proportion from a predetermined threshold, and optionally wherein the predetermined threshold is at least one of:

dependent on at least a parameter of another separated band of the more than two frequency bands or on a previously used threshold; and

a function of a minimum or turning point.

5. The method of claim 4, further comprising measuring, using the processing apparatus, the signal-to-noise ratio for at least one separated band of the more than two frequency bands, and optionally further comprising identifying an end point within the fraction of a segment for which the signal-to-noise ratio is above or below a certain threshold.

6. The method of claim 1, further comprising identifying, using the processing apparatus, a signal noise floor, and optionally comprising identifying a respiratory pause and setting, as the signal noise floor, the minimum of a value of the sound signal during the respiratory pause, for at least one separated band of the more than two frequency bands, or setting, as the signal noise floor, the RMS value of the power of the signal integrated over a time within the respiratory pause, and further optionally comprising identifying a respiratory pause in each of a plurality of bands of the more than two frequency bands and setting a second noise floor as a function of the signal noise floor of said plurality of bands of the more than two frequency bands and/or further optionally comprising establishing as a third noise floor a function of the signal noise floors estimated during several previously identified respiratory pauses, or dynamically updating the noise floor in one or several bands of the more than two frequency bands.

7. The method of claim 1, comprising finding, using the processing apparatus, said feature of the sound signal based on a maximum value of the sound signal in at least one separated band of the more than two frequency bands after the candidate start point of a possible inspiration or expiration has been found, and optionally comprising identifying said feature of the sound signal when the sound signal in at least one separated band of the more than two frequency bands has fallen a certain proportion from its respective maximum or identified, as said feature of the sound signal, the slope at that point, and/or further optionally wherein the maximum is an absolute maximum in a candidate breath, or the slope value is the absolute slope, or comprising identifying said feature of the sound signal as a second minimum, or further comprising identifying the time value of occurrence of a second feature of the sound signal, or further comprising identifying for at least one separated band of the more than two frequency bands the duration of a possible expiratory or inspiratory phases from a measure of the difference between the time value of the first minimum and the time value when the sound signal has fallen a certain proportion from the respective maximum, and/or optionally further comprising identifying the duration of a possible expiratory or inspiratory phase from a fraction of the absolute difference between a function of the time of the second minimum or a turning point and the time at which the sound signal has risen a certain proportion from a function of the first minimum or a turning point from at least one separated band of the more than two frequency bands, or comprising identifying as a candidate inspiration or expiration event the fraction of the sound signal between the function of said two minimums or turning points.

8. The method of claim 1, further comprising analyzing, using the processing apparatus, envelope characteristics of separated bands of the more than two frequency bands to identify the breath candidate, or comparing the values between identified minimum and said proportion of a maximum or proportional rise from a minimum, and optionally comprising identifying a degree of mathematic monotonicity of at least one separated band of the more than two frequency bands within a predetermined time and/or optionally comprising identifying the breath candidate if a sound signal has a comparable envelope shape in two or more frequency bands of the more than two frequency bands, and/or optionally further comprising using the monotonicity information to identify the intervals of time during which a search of minimums or maximums should take place.

9. The method of claim 1, further comprising obtaining at least one functional relationship between equivalent parameters within separated bands of the more than two frequency bands, and optionally wherein the functional relationship is between values of a parameter of the processed sound signals which is correlated to power of the sound signal.

10. The method of claim 1, further comprising identifying, using the processing apparatus, the starting time of the breath candidate using information about monotonicity of one band of the more than two frequency bands, or a combined monotonicity of several bands of the more than two frequency bands and the minimum values of the processed sound signals in one or several bands of the more than two frequency bands, and optionally comprising comparing values of one or more relationships between parameters in the more than two frequency bands with a predetermined functional value, and identifying an event as a non-inspiration or non-expiration breath event if the comparison falls outside the predetermined value, and/or optionally further comprising identifying, as the breath candidate, a second sound signal having a parameter value greater than a proportion of the average value of preceding breath segments.

11. The method of claim 1, further comprising determining, using the processing apparatus, a number of breath candidates in a predetermined interval or a number of breath candidates having parameter values within a predetermined range for determination of a breathing condition, and optionally comprising detecting apnea if the number of breath candidates identified within a predetermined interval is lower than a predetermined threshold.

12. The method of claim 1, in which one or a plurality of measured parameters of at least one separated band of the more than two frequency bands is used to identify lung volume or respiratory rate related parameters.

13. The method of claim 1, further comprising determining, using the processing apparatus, a number of respiratory cycles in a predetermined interval based on a time location or separation of breath candidates in said interval for determination of respiratory rate.

14. The method of claim 13, further comprising generating, using the processing apparatus, an alarm if a proportion of the breath candidate detected in a certain time interval has measured characteristics that fall within predetermined critical limits.

15. The method of claim 1, further comprising storing, using the processing apparatus, at least one of:

dynamically updating signal data, reproducing signal data, signal processing data, signal analysis data, a unique person specific code, or reconstruction of signal data from a set of determined parameters.

16. The method of claim 1, further comprising confirming, using the processing apparatus, a sequence of breath candidates based on a comparison with an expected temporal distribution, and optionally comprising classifying an event as inspiration or expiration based on preceding inspirations or expiration patterns, or comprising identifying an event as a candidate event if it deviates from previous candidate events patterns only within predetermined limits.

17. The method of claim 1 comprising outputting or storing data regarding the detected actual breath inspiration or expiration event.

18. The method of claim 1 comprising electronically transmitting information to a doctor or carer.

19. The method of claim 1 comprising making a diagnostic decision.

20. The method of claim 1 comprising making a management decision.

21. The method of claim 1 comprising making a treatment decision.

22. The method of claim 1, further comprising:

analyzing the separated sound signal within the different bands using a segmentation algorithm to define segments of the originally sensed signal as candidate breaths; and

evaluating the candidate segments within a certain time interval to identify a certain breath event.

23. The method of claim 1 wherein identifying a start point or an end point of an inspiration or expiration breath candidate comprises identifying a start point or an end point in each frequency band.