System and method for detecting the onset of an obstructive sleep apnea event

• US 7,819,823 B2
• Filed: 12/22/2003
• Issued: 10/26/2010
• Est. Priority Date: 08/17/2000
• Status: Expired due to Fees

• Current Assignee: Sleep Methods, Inc.
• Original Assignee: Sleep Methods, Inc.
• Inventors: Halleck, Michael E., Lehrman, Michael L.
• Primary Examiner(s): Hindenburg; Max
• Assistant Examiner(s): HOEKSTRA, JEFFREY GERBEN
• Application Number:
  US10/745,396
• Publication Number:
  US 20040225226A1
• Time in Patent Office: 2,500 Days
• Field of Search: 600/529, 600/532, 600/534, 600/538, 600/586
• US Class Current: 600/586
• CPC Class Codes: A61B 5/087 Measuring breath flow
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/6822 Neck
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise

Abstract

There is disclosed a system and method for treating obstructive sleep apnea by terminating an obstructive sleep apnea event before the cessation of breathing occurs. The system comprises one or more microphones capable of detecting breathing sounds within an airway of a person. The microphones generate signals representative of the breathing sounds and send the signals to a controller. The controller uses digital signal processing to identify at least one signal pattern that is associated with a breathing pattern of the person that occurs at the onset of an obstructive sleep apnea event. When the controller detects such a signal pattern, the controller sends an alarm signal to a stimulus generator that creates a stimulus to cause the sleeping person to move in a manner to terminate the obstructive sleep apnea event before cessation of breathing occurs. The obstructive sleep apnea event is terminated without waking the sleeping person.

Claims

1. An apparatus for detecting an onset of an obstructive sleep apnea event before cessation of breathing occurs, said apparatus comprising:

at least two microphones adapted to be acoustically associated with a person, wherein said at least two microphones are configured to detect breathing sounds within an airway of a neck of said person and to generate microphone signals representative of said breathing sounds, wherein said at least two microphones are attached to a collar worn around the neck of the person; and

a controller operatively coupled to the at least two microphones, the controller configured to, while the person is sleeping;

receive said microphone signals,

compare said microphone signals to at least one signal pattern stored in a memory, the at least one signal pattern associated with a breathing pattern of said person that occurs at the onset of the obstructive sleep apnea event, and

trigger an alarm signal if said microphone signals indicate, based on the comparison with the at least one signal pattern, an onset of an obstructive sleep apnea event.

2. The apparatus as claimed in claim 1 wherein said controller is further configured to use digital signal processing techniques to find frequency domain components of said microphone signals.

3. The apparatus as claimed in claim 2 wherein said digital signal processing techniques comprise Fast Fourier Transform techniques.

4. The apparatus as claimed in claim 1 further comprising:

a base station coupled to said controller;

wherein said controller is further configured to send the alarm signal to said base station.

5. The apparatus as claimed in claim 4 further comprising:

a chest motion sensor configured to be coupled to said person, wherein said chest motion sensor is configured to send a signal to said base station that represents chest motion of said person.

6. The apparatus as claimed in claim 1 further comprising:

at least one filter coupled between said at least two microphones and said controller, wherein said at least one filter is configured to filter said microphone signals, and wherein said controller is further configured to identify that said filtered microphone signals are substantially the same as the at least one signal pattern.

7. The apparatus as claimed in claim 6 wherein the at least two microphones comprise four microphones, the apparatus further comprising four filters coupled between said four microphones and said controller,

wherein a first of said four filters is configured to filter out all microphone signals except microphone signals having frequencies in a range of twenty Hertz (20 Hz) to one hundred Hertz (100 Hz);

wherein a second of said four filters is configured to filter out all microphone signals except microphone signals having frequencies in a range of one hundred Hertz (100 Hz) to one thousand Hertz (1,000 Hz);

wherein a third of said four filters is configured to filter out all microphone signals except microphone signals having frequencies in a range of one thousand Hertz (1,000 Hz) to ten thousand Hertz (10,000 Hz); and

wherein a fourth of said four filters is configured to filter out all microphone signals except microphone signals having frequencies in a range of ten thousand Hertz (10,000 Hz) to twenty thousand Hertz (20,000 Hz).

8. The apparatus as claimed in claim 1 wherein said controller is further configured to only operate during one half of the person'"'"'s respiration cycle.

9. The apparatus as claimed in claim 1 wherein said controller is further configured to identify within said microphone signals at least one signal pattern that is associated with a partially occluded breathing pattern of said person.

10. The apparatus as claimed in claim 1 further comprising:

an airflow sensor configured to detect a flow of air within an airway of said person and to generate an airflow detection signal that is representative of the presence of said flow of air;

wherein said controller is further configured to receive said airflow detection signal from said airflow sensor to obtain information concerning the breathing of said person.

11. A method for detecting an onset of an obstructive sleep apnea event before cessation of breathing occurs, said method comprising the steps of:

receiving at a controller microphone signals representative of breathing sounds within an airway of a neck of a person from at least two microphones acoustically associated with said person, wherein said at least two microphones are attached to a collar worn around the neck of the person and the controller is operatively coupled to the at least two microphones;

comparing said microphone signals to at least one signal pattern stored in a memory, the at least one signal pattern associated with a breathing pattern of said person that occurs at the onset of the obstructive sleep apnea event; and

triggering an alarm signal if the microphone signals indicate, based on the comparison with the at least one signal pattern, an onset of an obstructive sleep apnea event.

12. The method as claimed in claim 11 further comprising:

using digital signal processing techniques to find frequency domain components of said microphone signals.

13. The method as claimed in claim 12 wherein said digital signal processing techniques comprise Fast Fourier Transform techniques.

14. The method as claimed in claim 11 further comprising the step of:

sending the alarm signal to a base station.

15. The apparatus as claimed in claim 14 further comprising the step of:

sending to the base station a chest motion signal from a chest motion sensor, wherein said chest motion signal represents a chest motion of said person.

16. The method as claimed in claim 11 further comprising the steps of:

filtering said microphone signals representative of said breathing sounds to create filtered microphone signals representative of said breathing sounds;

using said controller to identify that said filtered microphone signals are substantially the same as the at least one signal pattern.

17. The method as claimed in claim 16 wherein the at least two microphones comprise four microphones, the method further comprising the steps of:

filtering said microphone signals from the four microphones with four filters in which each of the four filters is coupled between one of said four microphones and said controller,

wherein a first of said four filters filters out all microphone signals except microphone signals having frequencies in a range of twenty Hertz (20 Hz) to one hundred Hertz (100 Hz);

wherein a second of said four filters filters out all microphone signals except microphone signals having frequencies in a range of one hundred Hertz (100 Hz) to one thousand Hertz (1,000 Hz);

wherein a third of said four filters filters out all microphone signals except microphone signals having frequencies in a range of one thousand Hertz (1,000 Hz) to ten thousand Hertz (10,000 Hz); and

wherein a fourth of said four filters filters out all microphone signals except microphone signals having frequencies in a range of ten thousand Hertz (10,000 Hz) to twenty thousand Hertz (20,000 Hz).

18. The method as claimed in claim 11 further comprising the step of:

operating said controller only during one half of the person'"'"'s respiration cycle.

19. The method as claimed in claim 11 further comprising the step of:

using said controller to identify within said microphone signals at least one signal pattern that is associated with a partially occluded breathing pattern of said person.

20. The method as claimed in claim 11 further comprising the step of:

receiving in said controller an airflow detection signal from an airflow sensor that detects a flow of air within an airway of said person to obtain information concerning the breathing of said person.