Sleep monitoring using a photoplethysmograph
First Claim
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1. A method for diagnosis, comprising:
- receiving from a sensor coupled to a body of a sleeping patient a photoplethysmograph signal; and
operating a data processor for processing the photoplethysmograph signal independently of any other physiological measurements in order to identify apnea episodes which comprise Cheyne-Stokes breathing events and to distinguish a light sleep stage from a deep sleep stage of the patient based on the identified apnea episodes;
wherein processing the photoplethysmograph signal comprises distinguishing a rapid eye movement (REM) sleep stage from a light sleep stage responsively to a characteristic of the Cheyne-Stokes breathing events, selected from the group of characteristics consisting of a Cheyne-Stokes wavelength and a desaturation depth.
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Abstract
A method for diagnosis includes receiving from a sensor coupled to a body of a sleeping patient a photoplethysmograph signal. The photoplethysmograph signal is processed independently of any other physiological measurements in order to identify sleep stages of the patient.
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Citations
21 Claims
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1. A method for diagnosis, comprising:
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receiving from a sensor coupled to a body of a sleeping patient a photoplethysmograph signal; and operating a data processor for processing the photoplethysmograph signal independently of any other physiological measurements in order to identify apnea episodes which comprise Cheyne-Stokes breathing events and to distinguish a light sleep stage from a deep sleep stage of the patient based on the identified apnea episodes; wherein processing the photoplethysmograph signal comprises distinguishing a rapid eye movement (REM) sleep stage from a light sleep stage responsively to a characteristic of the Cheyne-Stokes breathing events, selected from the group of characteristics consisting of a Cheyne-Stokes wavelength and a desaturation depth. - View Dependent Claims (2, 3, 4)
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5. Apparatus for diagnosis, comprising:
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a sensor, which is configured to be coupled to a body of a sleeping patient and to output a photoplethysmograph signal; and a processor, which is coupled to process the photoplethysmograph signal independently of any other physiological measurements in order to identify apnea episodes which comprise Cheyne-Stokes breathing events and to distinguish a light sleep stage from a deep sleep stage of the patient based on the identified apnea episodes; wherein the processor is configured to distinguish a rapid eye movement (REM) sleep stage from a light sleep stage responsively to a characteristic of the Cheyne-Stokes breathing events, selected from the group of characteristics consisting of a Cheyne-Stokes wavelength and a desaturation depth. - View Dependent Claims (6, 7, 8)
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- 9. A computer software product, comprising a computer-readable medium in which program instructions are stored, which instructions, when read by a computer, cause the computer to receive a photoplethysmograph signal from a body of a sleeping patient, and to process the photoplethysmograph signal independently of any other physiological measurements in order to identify apnea episodes which comprise Cheyne-Stokes breathing events, to distinguish a light sleep stage from a deep sleep stage of the patient based on the identified apnea episodes, and to distinguish a rapid eye movement (REM) sleep stage from a light sleep stage responsively to a characteristic of the Cheyne-Stokes breathing events, selected from the group of characteristics consisting of a Cheyne-Stokes wavelength and a desaturation depth.
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13. A method for diagnosis, comprising:
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receiving from a sensor coupled to a body of a sleeping patient a photoplethysmograph signal; and operating a data processor for processing the photoplethysmograph signal in order to identify apnea episodes which comprise Cheyne-Stokes breathing events and to distinguish a light sleep stage from a deep sleep stage of the patient based on the identified apnea episodes; wherein said processing comprises distinguishing a rapid eye movement (REM) sleep stage from a light sleep stage responsively to a characteristic of the Cheyne-Stokes breathing events, selected from the group of characteristics consisting of a Cheyne-Stokes wavelength and a desaturation depth. - View Dependent Claims (14, 15)
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16. Apparatus for diagnosis, comprising:
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a sensor, which is configured to be coupled to a body of a sleeping patient and to output a photoplethysmograph signal; and a processor, which is coupled to process the photoplethysmograph signal in order to identify apnea episodes which comprise Cheyne-Stokes breathing events and to distinguish a light sleep stage from a deep sleep stage of the patient based on the identified apnea episodes; wherein the processor is configured to distinguish a rapid eye movement (REM) sleep stage from a light sleep stage responsively to a characteristic of the Cheyne-Stokes breathing events, selected from the group of characteristics consisting of a Cheyne-Stokes wavelength and a desaturation depth. - View Dependent Claims (17, 18)
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19. A computer software product, comprising a computer-readable medium in which program instructions are stored, which instructions, when read by a computer, cause the computer to receive a photoplethysmograph signal from a body of a sleeping patient, and to process the photoplethysmograph signal in order to identify apnea episodes which comprise Cheyne-Stokes breathing events and to distinguish a light sleep stage from a deep sleep stage of the patient based on the identified apnea episodes;
wherein the instructions cause the computer to distinguish a rapid eye movement (REM) sleep stage from a light sleep stage responsively to a characteristic of the Cheyne-Stokes breathing events, selected from the group of characteristics consisting of a Cheyne-Stokes wavelength and a desaturation depth. - View Dependent Claims (20, 21)
Specification