Detection of sleep apnea using respiratory signals
First Claim
1. A wireless sensor device for sleep apnea detection, the wireless sensor device comprising:
- a sensor to detect at least one respiratory signal;
a processor coupled to the sensor; and
a memory device coupled to the processor, wherein the memory device includes a detection algorithm and an application that, when executed by the processor, causes the processor to;
extract a plurality of features from the at least one respiratory signal; and
determine, using the detection algorithm, at least one sleep apnea event from the plurality of features,wherein determining the at least one sleep apnea event further causes the processor to;
determine at least one candidate sleep apnea event using the plurality of features, andconfirm the at least one sleep apnea event when;
a mean during the at least one candidate sleep apnea event is less than a mean threshold times a mean during baseline, andthe mean during the at least one candidate sleep apnea event is less than a variable time a mean dispersion metric.
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Abstract
A method and system for sleep apnea detection are disclosed. The method comprises detecting at least one respiratory signal and utilizing a detection algorithm to automatically detect at least one sleep apnea event from the at least one respiratory signal. The system includes a sensor to determine at least one respiratory signal, a processor coupled to the sensor, and a memory device coupled to the processor, wherein the memory device includes a detection algorithm and an application that, when executed by the processor, causes the processor to utilize the detection algorithm to automatically determine at least one sleep apnea event from the at least one respiratory signal.
31 Citations
8 Claims
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1. A wireless sensor device for sleep apnea detection, the wireless sensor device comprising:
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a sensor to detect at least one respiratory signal; a processor coupled to the sensor; and a memory device coupled to the processor, wherein the memory device includes a detection algorithm and an application that, when executed by the processor, causes the processor to; extract a plurality of features from the at least one respiratory signal; and determine, using the detection algorithm, at least one sleep apnea event from the plurality of features, wherein determining the at least one sleep apnea event further causes the processor to; determine at least one candidate sleep apnea event using the plurality of features, and confirm the at least one sleep apnea event when; a mean during the at least one candidate sleep apnea event is less than a mean threshold times a mean during baseline, and the mean during the at least one candidate sleep apnea event is less than a variable time a mean dispersion metric. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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Specification