Health and sleep nursing assistant for real-time, contactless, and non-invasive monitoring
نویسندگان
چکیده
In this paper, we introduce a novel health and sleep nursing assistant called “Helena” for real-time, contactless, non-invasive monitoring that can be mounted on bed frame to continuously monitor activities (entry/exit of bed, movement, posture changes), vital signs (heart rate respiration rate), falls from in pervasive computing manner. The smart sensor senses vibrations generated by body movements characterize based advanced signal processing machine learning methods. device provide information about patterns, generate real-time results, support continuous assessment tracking. method detecting has not been attempted before represents life-changing high-risk communities, such as seniors. Comprehensive tests validations were conducted evaluate system performances using FDA approved wearable devices. Our an accuracy 99.5% on-bed (entries), 99.73% off-bed (exits), 97.92% the 92.08% changes, 97% bed. estimation heart (HR) ranged ±2.41 beats-per-minute compared Apple Watch Series 4, while (RR) ±0.89 respiration-per-minute (Food Drug Administration) oximeter metronome.
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ژورنال
عنوان ژورنال: Pervasive and Mobile Computing
سال: 2021
ISSN: ['1873-1589', '1574-1192']
DOI: https://doi.org/10.1016/j.pmcj.2021.101422