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Consumer Sleep Technology

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Patent US10154790


Issued 2018-12-18

Method And System For Monitoring Sleep

A method of monitoring sleep comprises simultaneously recording a person's electrocardiogram (ECG) and photoplethysmogram (PPG), deriving a plurality of parameters from the recorded data, and providing an output indicative of a sleep characteristic based upon an analysis of the parameters. The ECG and PPG may be recorded using an apparatus which is a combination of a Holter monitor and a pulse oximeter, which is wearable in ambulatory manner.



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2 Independent Claims

  • 1. A method of monitoring sleep stages or level of sleepiness, the method comprising using one or more processors to: acquire and record data of a person's electrocardiogram (ECG) and photoplethysmogram (PPG), the data being acquired and recorded simultaneously, derive a plurality of parameters from both the recorded ECG and PPG data, wherein the plurality of parameters includes (1) at least one parameter derived from the ECG data independently of the PPG data, and (2) at least one parameter derived from the PPG data independently of the ECG data, extract features from the plurality of parameters, and provide an output indicative of a sleep stage or a quantitative level of sleepiness based upon an analysis of at least a subset of the extracted features from the derived plurality of parameters, wherein a trained statistical classifier in a processor of the one or more processors evaluates, on an epoch-by-epoch basis, the extracted features from both (1) the at least one parameter derived from the ECG data and (2) the at least one parameter derived from the PPG data, to generate the output indicative of the sleep stage or the quantitative level of sleepiness.

  • 18. A system for monitoring sleep stage or level of sleepiness, the system comprising: a sensing apparatus configured to simultaneously acquire electrocardiogram (ECG) and photoplethysmogram (PPG) data from a monitored subject; a computer executable memory configured to record the acquired ECG and PPG data, and to store computer executable instructions; and a processor configured to execute the computer executable instructions to derive a plurality of parameters from both the recorded ECG and PPG data, to extract features from the plurality of parameters, and to provide an output indicative of a sleep stage or a quantitative level of sleepiness based upon an analysis of at least a subset of the extracted features from the plurality of parameters, wherein the plurality of parameters includes (1) at least one parameter derived from the ECG data independently of the PPG data, and (2) at least one parameter derived from the PPG data independently of the ECG data, wherein the processor is configured with a trained statistical classifier that evaluates, on an epoch-by-epoch basis, the extracted features from both (1) the at least one parameter derived from the ECG data and (2) the at least one parameter derived from the PPG data, to generate the output indicative of the sleep stage or the quantitative level of sleepiness.