0275 Deep Learning-based Sleep Detection using Torso Patch Vital Signs Improves Sleep-Wake Detection over Wrist Actigraphy

Introduction Motion-based wearable sensors, typically on wrist, have long been used for free-living sleep detection and quantification. However, it is hard to differentiate sleep from sedentary awake time by immobility alone. Vital signs, like heart rate and respiration rate, can greatly enhance det...

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Veröffentlicht in:	Sleep (New York, N.Y.) Jg. 46; H. Supplement_1; S. A122
Hauptverfasser:	Pipke, Matt, Alla, Srilakshmi, Sekaric, Jadranka, Richards, Dylan, Gendy, Maged, Abbott, Sabra, Grimaldi, Daniela, Reid, Kathryn, Zee, Phyllis
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Westchester Oxford University Press 29.05.2023
Schlagworte:	Algorithms Deep learning Neural networks Sensors Sleep
ISSN:	0161-8105, 1550-9109
Online-Zugang:	Volltext
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