Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed

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Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed

In hospitals, timely interventions can prevent avoidable clinical deterioration. Early recognition of deterioration is vital to stopping further decline. Measuring the way patients position themselves in bed and change their positions may signal when further assessment is necessary. While inertial m...

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Bibliographic Details
Main Authors:	Becker, Eliza, Khaksar, Siavash, Booker, Harry, Hill, Kylie, Ren, Yifei, Tan, Tele, Watson, Carol, Wordsmith, Ethan, Harrold, Meg
Format:	Journal Article
Published:	2025
Online Access:	http://hdl.handle.net/20.500.11937/96904

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