Methods for detection of respiratory effort and sleep apnea monitoring devices

• US 9,095,307 B2
• Filed: 03/14/2014
• Issued: 08/04/2015
• Est. Priority Date: 11/07/2012
• Status: Active Grant

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Somnarus Inc.
• Inventors: Parfenova, Maria A., Parfenov, Alexandr S., Zobnin, Yuri P.
• Primary Examiner(s): Mallari, Patricia
• Assistant Examiner(s): CATINA, MICHAEL ANTHONY
• Application Number:
  US14/213,712
• Publication Number:
  US 20140213913A1
• Time in Patent Office: 508 Days
• Field of Search: 603/23, 603/24, 603/40
• US Class Current: 1/1
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/16 Details of sensor housings or probes; Details of structural supports for sensors A61B2560/0462 takes precedence
• CPC Class Codes: A61B 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• 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 5/0295 using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: A61B 5/6819 Nose
• CPC Class Codes: A61B 5/688 using adhesives
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: A61B 5/7257 using Fourier transforms

Abstract

A sleep apnea diagnostic system includes a housing that is configured to be attached to near the nose of a patient'"'"'s face to sense physiological information of a patient. The housing includes sensors to sense the physiological information. The physiological information may be, for example, air flow through the nose or the mouth or both. The physiological information further may be, for example, blood volume. The sleep apnea diagnostic system includes at least one processor in the housing or external to the housing or both to analyze the physiological information to determine whether the patient has experienced irregular or abnormal respiratory activity and to detect respiratory effort. The analysis may be real time or delayed.

Claims

1. A sleep monitoring device comprising:

a housing including a region shaped to fit the contours of a patient'"'"'s nose and configured to be disposed on the patient'"'"'s face with said region to be disposed on said nose;

at least one first sensor to sense physiological information related to the cardiovascular activity of the patient;

a memory disposed in the housing and configured to store physiological information related to cardiovascular activity of the patient; and

a processor disposed in the housing, coupled to the at least one first sensor, the processor configured to control the at least one first sensor and to control the memory to store physiological information related to cardiovascular activity of the patient,

wherein the processor is further configured to obtain plethysmography data from the stored physiological information, to analyze a DC component of the plethysmography data, to detect changes in a DC component of the plethysmography data, to detect pulse waves in the plethysmography data, to calculate a measure of changes in vascular tone for each detected pulse wave, to adjust dimensions of the measure of the changes in vascular tone to match the detected changes of the DC component of plethysmography data, to scale spectral intensities of the measure of the changes in vascular tone to match the detected changes of the DC component of plethysmography data, and to subtract the adjusted measure of the changes in vascular tone from the DC component of the plethysmography data to obtain the respiratory effort.

3. The sleep monitoring device according to claim 1 further comprising a second processor configured to analyze the physiological information related to the effects of an autonomous nervous system and respiratory effort on cardiovascular activity of the patient and determine respiratory effort of the patient based on the analyzed physiological information.

4. The sleep monitoring device according to claim 3 wherein the second processor is external to the housing.

5. The sleep monitoring device according to claim 3 wherein the second processor is disposed in the housing.

6. The sleep monitoring device according to claim 3 wherein the second processor is the first processor.

11. The sleep monitoring device according to claim 1 further comprising an accelerometer positioned to detect the patient'"'"'s movements and sleep time.

12. The sleep monitoring device according to claim 1 wherein the housing is shaped to fit the skin surface of the patient'"'"'s nose and the area of maxillary sinuses.

13. The sleep monitoring device according to claim 1 wherein the housing further comprises an adhesive on a surface thereof configured to be continuously affixed to the patient during at least a monitoring period of the cardiovascular activity.

14. The sleep monitoring device according to claim 1 further comprising a power source configured to provide power during at least a monitoring period of the cardiovascular activity.

15. The sleep monitoring device according to claim 1 wherein the housing is made of a flexible bio-compatible material.

16. The sleep monitoring device according to claim 1 wherein the at least one sensor comprises a pair of photosensors that emit and measure absorption of light wavelengths typically absorbed by oxygenated and deoxygenated hemoglobin.

17. The sleep monitoring device according to claim 1 further comprising at least one second sensor to sense physiological information related to respiratory activity of the patient,

wherein the memory is further configured to store physiological information related to respiratory activity of the patient;

wherein the processor is coupled to the at least one second sensor, the processor is further configured to control the at least one second sensor and to control the memory to store physiological information related to respiratory activity of the patient.

18. The sleep monitoring device according to claim 17 wherein the at least one second sensor includes an airflow sensor to measure oronasal breathing.

19. The sleep monitoring device according to claim 17 wherein the at least one second sensor is an airflow sensor disposed in the housing, wherein the device further comprises tubing that protrudes from the housing and has an end mounted to the airflow sensor.

20. The sleep monitoring device according to claim 1 wherein the at least one first sensor comprises a photosensor that measures plethysmography data.

2. A sleep monitoring device comprising:

a housing including a region shaped to fit the contours of a patient'"'"'s nose and configured to be disposed on the patient'"'"'s face with said region to be disposed on said nose;

at least one first sensor to sense physiological information related to the cardiovascular activity of the patient;

a memory disposed in the housing and configured to store physiological information related to cardiovascular activity of the patient; and

a processor disposed in the housing, coupled to the at least one first sensor, the processor configured to control the at least one first sensor and to control the memory to store physiological information related to cardiovascular activity of the patient, the processor further configured to;

obtain plethysmography data from the stored physiological information; and

identify respiratory effort by;

detecting changes in a DC component of the plethysmography data,

detecting pulse waves in the plethysmography data,

calculating a measure of changes in vascular tone for each detected pulse wave, via an augmentation index determined by the difference between first and second systolic peaks of the pulse waveform,

adjusting dimensions of the measure of the changes in vascular tone to match the detected changes of the DC component of plethysmography data,

scaling spectral intensities of the adjusted measure of the changes in vascular tone to match the detected changes of the DC component of plethysmography data; and

subtracting the scaled measure of the changes in vascular tone from the DC component of the plethysmography data to obtain the respiratory effort.

7. The sleep monitoring device according to claim 2 wherein the housing is shaped to fit the skin surface of the patient'"'"'s nose and the area of maxillary sinuses.

8. The sleep monitoring device according to claim 2 wherein the housing further comprises an adhesive on a surface thereof configured to be continuously affixed to the patient during at least a monitoring period of the cardiovascular activity.

9. The sleep monitoring device according to claim 2 wherein the at least one sensor comprises a pair of photosensors that emit and measure absorption of light wavelengths typically absorbed by oxygenated and deoxygenated hemoglobin.

10. The sleep monitoring device according to claim 2 further comprising at least one second sensor to sense physiological information related to respiratory activity of the patient,

wherein the memory is further configured to store physiological information related to respiratory activity of the patient;

wherein the processor is coupled to the at least one second sensor, the processor is further configured to control the at least one second sensor and to control the memory to store physiological information related to respiratory activity of the patient.