SYSTEMS AND METHODS FOR DETECTING AND DIAGNOSING SLEEP DISORDERED BREATHING

• US 20170071533A1
• Filed: 03/13/2015
• Published: 03/16/2017
• Est. Priority Date: 03/13/2014
• Status: Abandoned Application

• Current Assignee: Halare, Inc.
• Original Assignee: Halare, Inc.
• Inventors: MICHAUX, MATTHEW, WARREN, ANTHONY C.
• Application Number:
  US15/124,424
• Publication Number:
  US 20170071533A1
• Time in Patent Office: 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 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/0826 Detecting or evaluating apnoea events A61B5/4818 takes precedence
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• 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: G16H 40/63 for local operation

Abstract

Systems and methods for diagnosing sleep disordered breathing in a user are disclosed. The systems include a sensor assembly configured to detect physiological data of a user while the user is asleep. The systems also include an electronic computing device configured to receive the detected data from the sensor assembly, analyze the detected data for at least one sleep disordered event of the user, determine, from the analyzed data and the at least one event, whether the at least one sleep disordered event is indicative of a sleep disordered breathing symptom, and diagnose the user with a sleep disordered breathing condition when the at least one sleep disordered event is determined to be indicative of a sleep disordered breathing symptom. The systems also include an output device configured to communicate the diagnosed sleep disordered breathing condition to the user.

Claims

1. A system for diagnosing sleep disordered breathing in a user, comprising:

a sensor assembly configured to detect physiological data of a user while the user is asleep;

an electronic computing device configured to;

receive the detected data from the sensor assembly;

analyze the detected data for at least one sleep disordered event of the user;

determine, from the analyzed data and the at least one event, whether the at least one sleep disordered event is indicative of a sleep disordered breathing symptom; and

diagnose the user with a sleep disordered breathing condition when the at least one sleep disordered event is determined to be indicative of a sleep disordered breathing symptom; and

an output device configured to communicate the diagnosed sleep disordered breathing condition to the user.

2. The system of claim 1, wherein the sensor assembly includes at least one of a blood oxygen saturation sensor, an audio sensor, a pulse rate sensor, a motion sensor, and a position sensor.

3. The system of claim 1, wherein the sleep disordered breathing symptom includes apnea or hypopnea.

4. The system of claim 1, wherein the sensor assembly is configured to be attached to the user.

5. The system of claim 1, wherein the at least one event includes disturbed or erratic heart-rate variability.

6. The system of claim 1, wherein the electronic computing device is further configured to determine whether the at least one sleep disordered event is indicative of a sleep disordered breathing symptom by determining whether the at least one sleep disordered event is benign.

7. The system of claim 1, wherein the at least one event includes a period of restlessness of the user during sleep that exceeds a baseline resting period.

8. The system of claim 1, wherein the at least one event includes a period of snoring of the user during sleep that exceeds a baseline snoring period or an intensity of snoring of the user during sleep that exceeds a baseline snoring intensity.

9. The system of claim 1, wherein the at least one event includes an interval of desaturation, detected by a blood oxygen saturation sensor of the sensor assembly, that exceeds a baseline desaturation time or a baseline desaturation level.

10. A method for diagnosing sleep disordered breathing in a user, comprising the steps of:

detecting, with a sensor assembly, physiological data of a user while the user is asleep;

analyzing, with a processing unit, the detected physiological data for at least one sleep disordered event of the user;

determine, with the processing unit, whether the at least one sleep disordered event is indicative of a sleep disordered breathing symptom;

diagnosing the user with a sleep disordered breathing condition when the at least one sleep disordered even is determined to be indicative of a sleep disordered breathing symptom; and

outputting, with an output device, information related to the sleep disordered breathing condition.

11. The method of claim 10, wherein the detecting step further comprises detecting blood oxygen saturation levels with a blood oxygen saturation sensor.

12. The method of claim 11, wherein the analyzing step comprises analyzing the detected data for desaturation as the at least one sleep disordered event.

13. The method of claim 10, wherein the analyzing step comprises analyzing the detected data for snoring of a user that exceeds a snoring level baseline as the at least tone sleep disordered event.

14. The method of claim 10, wherein the analyzing step comprises analyzing the detected data for periods of restlessness of the user that exceeds a motion or position baseline as the at least one sleep disordered event.

15. The method of claim 10, wherein the determining step comprises correlating data from multiple sensors of the sensor assembly for determining whether the at least one sleep disordered event is indicative of the sleep disordered breathing symptom.