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

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: Eliza Becker, Siavash Khaksar, Harry Booker, Kylie Hill, Yifei Ren, Tele Tan, Carol Watson, Ethan Wordsworth, Meg Harrold
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
inertial measurement units
healthcare
monitoring
machine learning
Online Access:https://www.mdpi.com/1424-8220/25/2/499
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