Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors.

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第一作者： Giacomo,Peruzzi

第一单位： Department of Information Engineering, University of Padova, 35122 Padova, Italy.

作者： Giacomo,Peruzzi ^[1] ; Alessandra,Galli ^[2] ; Giada,Giorgi ^[1] ; Alessandro,Pozzebon ^[1]

作者单位： Department of Information Engineering, University of Padova, 35122 Padova, Italy. ^[1] Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands. ^[2]

关键词 artificial intelligence embedded machine learning internet of things obstructive sleep apnea pressure sensors sensor selection sleep posture recognition support vector machine

主题词人类(Humans);体位(Posture);睡眠(Sleep);压力(Pressure);睡眠呼吸暂停,阻塞性(Sleep Apnea, Obstructive);算法(Algorithms);监测, 生理学(Monitoring, Physiologic)

DOI 10.3390/s25020458

PMID 39860827

发布时间 2025-01-28

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Sensors (Basel, Switzerland)

2025年25卷2期

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Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors.

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Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors.

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