Literature DB >> 19564677

An internet-based wearable watch-over system for elderly and disabled utilizing EMG and accelerometer.

M Kishimoto1, T Yoshida, T Hayasaka, D Mori, Y Imai, N Matsuki, T Ishikawa, T Yamaguchi.   

Abstract

An effective way for preventing injuries and diseases among the elderly is to monitor their daily lives. In this regard, we propose the use of a "Hyper Hospital Network", which is an information support system for elderly people and patients. In the current study, we developed a wearable system for monitoring electromyography (EMG) and acceleration using the Hyper Hospital Network plan. The current system is an upgraded version of our previous system for gait analysis (Yoshida et al. [13], Telemedicine and e-Health 13 703-714), and lets us monitor decreases in exercise and the presence of a hemiplegic gait more accurately. To clarify the capabilities and reliability of the system, we performed three experimental evaluations: one to verify the performance of the wearable system, a second to detect a hemiplegic gait, and a third to monitor EMG and accelerations simultaneously. Our system successfully detected a lack of exercise by monitoring the iEMG in healthy volunteers. Moreover, by using EMG and acceleration signals simultaneously, the reliability of the Hampering Index (HI) for detecting hemiplegia walking was improved significantly. The present study provides useful knowledge for the development of a wearable computer designed to monitor the physical conditions of older persons and patients.

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Year:  2009        PMID: 19564677     DOI: 10.3233/THC-2009-0538

Source DB:  PubMed          Journal:  Technol Health Care        ISSN: 0928-7329            Impact factor:   1.285


  3 in total

1.  Efficacy of computer-assisted, 3D motion-capture toothbrushing instruction.

Authors:  Kee-Deog Kim; Jin-Sun Jeong; Hae Na Lee; Yu Gu; Kyeong-Seop Kim; Jeong-Whan Lee; Wonse Park
Journal:  Clin Oral Investig       Date:  2014-11-14       Impact factor: 3.573

2.  Cell proliferation effect of deep-penetrating microcavity tandem NIR OLEDs with therapeutic trend analysis.

Authors:  Yongjin Park; Hye-Ryung Choi; Yongmin Jeon; Hyuncheol Kim; Jung Won Shin; Chang-Hun Huh; Kyoung-Chan Park; Kyung-Cheol Choi
Journal:  Sci Rep       Date:  2022-06-29       Impact factor: 4.996

3.  Evaluating physical function and activity in the elderly patient using wearable motion sensors.

Authors:  Bernd Grimm; Stijn Bolink
Journal:  EFORT Open Rev       Date:  2017-03-13
  3 in total

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