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US 11,696,724 B2Granted
Methods of identifying sleep and waking patterns and uses
AssigneeNeurovigil, Inc.
InventorPhilip S. Low
Life of this patent
Estimating the term…
Abstract
Traditional analysis of sleep patterns requires several channel of data. This analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, determining the effect of medication on sleep states and identifying biomarkers, and drug dosages or reactions.
Claims23
A method comprising:
- accessing signal data indicative of brain activity of a subject, wherein the signal data was collected by a noninvasive sensor comprising at least one electrode over a time period, wherein the time period includes one or more epochs;
- generating, based on the signal data, spectrogram data comprising:
- for each frequency band of a set of frequency bands of the spectrogram data, a power estimated at the frequency band for each epoch of the one or more epochs;
- identifying, based on the spectrogram data, a spectral signature of a particular frequency band of the set of frequency bands, wherein the spectral signature identifies a fluctuation of a relative amount of the power estimated across the one or more epochs;
- estimating that, the spectral signature is consistent with an indication that one or more physical movements of the subject have occurred during the one or more epochs;
- generating, based on the estimation, an output that predicts an attribute of a sequence of predicted sleep stages over the time period;
- and
- determining that the output is consistent with a classification of pathological condition of the subject, wherein the determination is based on comparing the output to one or more reference attributes indicative of sleep stages associated with other subjects with known classifications of the pathological condition, wherein the pathological condition includes one of epilepsy, Alzheimer's disease, Parkinson's disease, depression, brain trauma, insomnia, restless leg syndrome, or sleep apnea.
5 more elements
An apparatus comprising:
- a noninvasive sensor comprising at least one electrode;
- and
- a computing device, wherein the at least one electrode of the noninvasive sensor is in operable connection to the computing device, the computing device comprising one or more data processors and a non-transitory computer readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform actions including:
- accessing signal data indicative of brain activity of a subject, wherein the signal data was collected by the noninvasive sensor over a time period, wherein the time period includes one or more epochs;
- generating, based on the signal data, spectrogram data comprising:
- for each frequency band of a set of frequency bands of the spectrogram data, a power estimated at the frequency band for each epoch of the one or more epochs;
- identifying, based on the spectrogram data, a spectral signature of a particular frequency band of the set of frequency bands, wherein the spectral signature identifies a fluctuation of a relative amount of the power estimated across the one or more epochs;
- estimating that the spectral signature is consistent with an indication that one or more physical movements of the subject have occurred during the one or more epochs;
- generating, based on the estimation, an output that predicts an attribute of a sequence of predicted sleep stages over the time period;
- and
- determining that the output is consistent with a classification of pathological condition of the subject, wherein the determination is based on comparing the output to one or more reference attributes indicative of sleep stages associated with other subjects with known classifications of the pathological condition, wherein the pathological condition includes one of epilepsy, Alzheimer's disease, Parkinson's disease, depression, brain trauma, insomnia, restless leg syndrome, or sleep apnea.
8 more elements
Dependencies are inferred from the claim text.