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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Bibliographic Details

Published in:	Sleep (New York, N.Y.) Vol. 46; no. Supplement_1; p. A122
Main Authors:	Pipke, Matt, Alla, Srilakshmi, Sekaric, Jadranka, Richards, Dylan, Gendy, Maged, Abbott, Sabra, Grimaldi, Daniela, Reid, Kathryn, Zee, Phyllis
Format:	Journal Article
Language:	English
Published:	Westchester Oxford University Press 29.05.2023
Subjects:	Algorithms Deep learning Neural networks Sensors Sleep
ISSN:	0161-8105, 1550-9109
Online Access:	Get full text
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