Neural Network for On-bed Movement Pattern Recognition

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Publication Details

Author list: Sri-Ngernyuang C., Youngkong P., Lasuka D., Thamrongaphichartkul K., Pingmuang W.

Publisher: Hindawi

Publication year: 2019

ISBN: 9781538657249

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062058489&doi=10.1109%2fBMEiCON.2018.8609998&partnerID=40&md5=e8e5f050b7c0a1c2a007e7295e785ed6

Languages: English-Great Britain (EN-GB)

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Abstract

One of the critical issues in hospitals is the injury from falling out of patient bed. Some of these cases lead to death. Considering this type of incident, a monitoring and alarming system called NEFs (Never Ever Falls) is introduced to prevent patients from falling out of the bed. In this paper, on-bed pattern recognition is developed by applying Neural Network Pattern Recognition from MATLAB. In the experiment, data from 6 persons in 5 different on-bed patterns (Sitting inside the bed, Supine, Lateral on the left, Lateral on the right and sitting at bedsides and corners) is recorded. According to the confusion matrix, training and validation confusion tables show 99.5% and 89.1% accuracy, respectively. ฉ 2018 IEEE.

Keywords

Neural Networks and Fall Prevention, On-Bed Pattern