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

• US 6,666,830 B1
• Filed: 08/17/2000
• Issued: 12/23/2003
• Est. Priority Date: 08/17/2000
• Status: Expired due to Term

• Current Assignee: Sleep Methods, Inc.
• Original Assignee: East River Ventures LP
• Inventors: Lehrman, Michael L., Halleck, Michael E.
• Primary Examiner(s): MARMOR II, CHARLES ALAN
• Application Number:
  US09/641,982
• Time in Patent Office: 1,223 Days
• Field of Search: 600/529, 600/532, 600/538, 600/543, 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 detecting the onset of an obstructive sleep apnea event before the obstructive sleep apnea event fully develops and 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 identifies 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. The controller may also identify at least one signal pattern that is associated with a partially occluded breathing pattern of the person. The controller identifies the signal patterns by using digital signal processing techniques to analyze the signals representative of breathing sounds. The method involves detecting breathing sounds within an airway of a person, generating signals representative of the breathing sounds, and identifying 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.

Claims

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

at least one microphone adapted to be acoustically associated with a person, wherein said microphone detects breathing sounds within an airway of said person and generates signals representative of said breathing sounds; and

a controller coupled to said at least one microphone that receives said signals, wherein said controller identifies within said signals at least one signal pattern that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs;

wherein said controller comprises software that analyzes said signals to identify within said signals at least one signal pattern that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs wherein said software analyzes said signals using Fast Fourier Transform analysis.

2. The apparatus as claimed in claim 1 further comprising a base station coupled to said controller wherein said controller sends an alarm signal to said base station to indicate that at least one signal pattern has been identified that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs.

3. The apparatus as claimed in claim 1 further comprising at least one filter coupled between said at least one microphone and said controller, wherein said at least one filter filters said signals from said at least one microphone to create filtered signals representative of said breathing sounds, and wherein said controller identifies within said filtered signals at least one signal pattern that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs.

4. The apparatus as claimed in claim 3 further comprising a base station coupled to said controller wherein said controller sends an alarm signal to said base station to indicate that at least one signal pattern has been identified that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs.

5. The apparatus as claimed in claim 1 further comprising an airflow sensor that detects a flow of air within an airway of said person and generates an airflow detection signal that is representative of the presence of said flow of air;

and

wherein said controller is coupled to said airflow sensor and receives said airflow detection signal from said airflow sensor to obtain information concerning the breathing of said person.

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

at least one microphone adapted to be acoustically associated with a person, wherein said microphone detects breathing sounds within an airway of said person and generates signals representative of said breathing sounds; and

a controller coupled to said at least one microphone that receives said signals, wherein said controller identifies within said signals at least one signal pattern that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs;

wherein said controller only operates during one half of the respiration cycle.

7. The apparatus as claimed in claim 6 wherein said software analyzes said signals using Fast Fourier Transform analysis.

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

at least one microphone adapted to be acoustically associated with a person, wherein said microphone detects breathing sounds within an airway of said person and generates signals representative of said breathing sounds; and

a controller coupled to said at least one microphone that receives said signals, wherein said controller identifies within said signals at least one signal pattern that is associated with a partially occluded breathing pattern of said person;

wherein said controller comprises software that analyzes said signals to identify within said signals at least one signal pattern that is associated with a partially occluded breathing pattern of said person and wherein said software analyzes said signals using Fast Fourier Transform analysis.

9. The apparatus as claimed in claim 8 further comprising a base station coupled to said controller wherein said controller sends an alarm signal to said base station to indicate that at least one signal pattern has been identified that is associated with a partially occluded breathing pattern of said person.

10. The apparatus as claimed in claim 8 further comprising at least one filter coupled between said at least one microphone and said controller, wherein said at least one filter filters said signals from said at least one microphone to create filtered signals representative of said breathing sounds, and wherein said controller identifies within said filtered signals at least one signal pattern that is associated with a partially occluded breathing pattern of said person.

11. The apparatus as claimed in claim 10 further comprising a base station coupled to said controller wherein said controller sends an alarm signal to said base station to indicate that at least one signal pattern has been identified that is associated with a partially occluded breathing pattern of said person.

12. The apparatus as claimed in claim 8 further comprising an airflow sensor that detects a flow of air within an airway of said person and generates an airflow detection signal that is representative of the presence of said flow of air;

and

wherein said controller is coupled to said airflow sensor and receives said airflow detection signal from said airflow sensor to obtain information concerning the breathing of said person.

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

at least one microphone adapted to be acoustically associated with a person, wherein said microphone detects breathing sounds within an airway of said person and generates signals representative of said breathing sounds; and

a controller coupled to said at least one microphone that receives said signals, wherein said controller identifies within said signals at least one signal pattern that is associated with a partially occluded breathing pattern of said person;

wherein said controller only operates during one half of the respiration cycle.

14. The apparatus as claimed in claim 13 wherein said software analyzes said signals using Fast Fourier Transform analysis.

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

detecting breathing sounds within an airway of a person;

generating signals representative of said breathing sounds;

analyzing said signals using Fast Fourier Transform analysis; and

identifying within said signals at least one signal pattern that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs.

16. The method as claimed in claim 15 further comprising the step of:

sending an alarm signal that indicates that at least one signal pattern has been identified that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs.

17. The method as claimed in claim 15 further comprising the steps of:

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

analyzing said filtered signals using Fast Fourier Transform analysis; and

identifying within said filtered signals at least one signal pattern that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs.

18. The method as claimed in claim 17 further comprising the step of:

sending an alarm signal that indicates that at least one signal pattern has been identified that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs.

19. The method as claimed in claim 15 further comprising the steps of:

recording said at least one signal pattern that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs;

monitoring said signals representative of said breathing sounds as said person breathes;

comparing said signals representative of said breathing sounds with said recorded at least one signal pattern that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs; and

identifying within said signals a signal pattern that is substantially the same as said recorded at least one signal pattern that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs.

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

sending an alarm signal that indicates that at least one signal pattern has been identified that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs.

21. The method as claimed in claim 15 further comprising the step of:

recording said at least one signal pattern that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs.

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

detecting breathing sounds within an airway of a person;

generating signals representative of said breathing sounds;

identifying within said signals at least one signal pattern that is associated with a breathing pattern of said person that occurs at the onset of an obstructive sleep apnea event before cessation of breathing occurs; and

detecting breathing sounds within said airway of said person only during one half of the respiration cycle.

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

detecting breathing sounds within an airway of a person;

generating signals representative of said breathing sounds;

analyzing said signals using Fast Fourier Transform analysis;

identifying within said signals at least one signal pattern that is associated with a partially occluded breathing pattern of said person;

recording said at least one signal pattern that is associated with a partially occluded breathing pattern of said person;

monitoring said signals representative of said breathing sounds as said person breathes;

comparing said signals representative of said breathing sounds with said recorded at least one signal pattern that is associated with a partially occluded breathing pattern of said person; and

identifying within said signals a signal pattern that is substantially the same as said recorded at least one signal pattern that is associated with a partially occluded breathing pattern of said person.

24. The method as claimed in claim 23 further comprising the step of:

sending an alarm signal that indicates that at least one signal pattern has been identified that is associated with a partially occluded breathing pattern of said person.

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

detecting breathing sounds within an airway of a person;

generating signals representative of said breathing sounds;

analyzing said signals using Fast Fourier Transform analysis; and

identifying within said signals at least one signal pattern that is associated with a normal breathing pattern of said person;

recording said at least one signal pattern that is associated with a normal breathing pattern of said person;

monitoring said signals representative of said breathing sounds as said person breathes;

comparing said signals representative of said breathing sounds with said recorded at least one signal pattern that is associated with a normal breathing pattern of said person; and

identifying within said signals a signal pattern that is substantially different from said recorded at least one signal pattern that is associated with a normal breathing pattern of said person.