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ThinkMind // International Journal On Advances in Life Sciences, volume 11, numbers 3 and 4, 2019 // View article lifsci_v11_n34_2019_7

A System for Collecting Motion Data for Use in Quantitatively Evaluating Activities of Daily Living

Authors:
Yoshitoshi Murata
Oky Dicky Ardiansyah Prima
Rintaro Takahashi
Yukihide Nishimura
Hiroyuki Tsuboi

Keywords: rehabilitation, functionary recovery, activities in daily living, ADL, BLE beacon, Google Firebase

Abstract:
A system is needed for quantitatively evaluating the activity recovery level of functional disable people. Although functional recovery is administered to hemiplegic patients during rehabilitation, some patients who have recovered function in a rehabilitation facility are still unable to perform daily activities at home. Therefore, recovering activities of daily living (ADL) has become more important than functional recovery. Since existing ADL recovery level indices are based on responses to questionnaires, judgment of recovery level is easily affected by an evaluator’s subject. We have developed a system for collecting and storing motion data on daily life activities for use in quantitatively evaluating ADL recovery levels. Evaluation of the system using data measured for a healthy participant with restricted movement and two actual hemiplegic patients demonstrated that slight differences in disability levels can be detected. This system is thus well suited for quantitative ADL assessment for patients with a disability.

Pages: 160 to 171

Copyright: Copyright (c) to authors, 2019. Used with permission.

Publication date: December 30, 2019

Published in: journal

ISSN: 1942-2660
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