Wearable Device Heart Rate and Activity Data in an Unsupervised Approach to Personalized Sleep Monitoring: Algorithm Validation
BackgroundThe proliferation of wearable devices that collect activity and heart rate data has facilitated new ways to measure sleeping and waking durations unobtrusively and longitudinally. Most existing sleep/wake identification algorithms are based on activity only and are trained on expensive and...
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| Main Authors: | , , , , |
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| Format: | Book |
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JMIR Publications,
2020-08-01T00:00:00Z.
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