Methods for detection of respiratory effort and sleep apnea monitoring devices

• US 8,740,806 B2
• Filed: 03/14/2013
• Issued: 06/03/2014
• 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:
  US13/830,736
• Publication Number:
  US 20140128697A1
• Time in Patent Office: 446 Days
• Field of Search: 600/529, 600/484, 600/534, 600/500, 600/483
• US Class Current: 600/529
• 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 method for detection of respiratory effort, the method comprising:

obtaining, in a processor, plethysmography data; and

identifying, in the processor, 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,

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

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

2. The method for detection of respiratory effort according to claim 1, wherein the plethysmography data is obtained during an apneic respiratory event or a hypopneic respiratory event.

3. The method for detection of respiratory effort according to claim 1, wherein plethysmography data is collected with a photosensor.

4. The method for detection of respiratory effort according to claim 1, wherein plethysmography data is collected with a pressure sensor.

5. The method for detection of respiratory effort according to claim 1, wherein plethysmography data is collected with an impedance sensor.

6. The method for detection of respiratory effort according to claim 1, wherein detecting changes in a DC component of the plethysmography data includes applying a frequency filter to the plethysmography data.

7. The method for detection of respiratory effort according to claim 1, wherein adjusting dimensions of the measure of the changes in vascular tone includes a spectral analysis.

8. The method for detection of respiratory effort according to claim 1, wherein the plethysmography data is obtained from a plethysmography sensor that is positioned over a highly vascularized area from which the venous blood drains into a large vein located near a vena cava of a person.

9. A method for detection of respiratory effort, the method comprising:

obtaining, in a processor, plethysmography data; and

identifying, in the processor, 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, and

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