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http://dx.doi.org/10.5573/ieie.2016.53.12.180

Development and Tree-Dimensional Kinematic Analysis of the Dual Chamber-based Drinking Aid for Stroke Patients: A Prospective Pilot Study  

Heo, Seo Yoon (Department of Rehabilitative & Assistive Technology, National Rehabilitation Center)
Kim, Kyeong-Mi (College of Biomedical Sciences and Engineering, Inje University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.53, no.12, 2016 , pp. 180-190 More about this Journal
Abstract
This prospective pilot clinical trial mainly focuses on developing dual chamber-based assistive cups which are suitable for stroke patients who have struggled with using there affected arms. It is unable to provide motor and sensory enhancement during drinking activities and to examine the feasibility of the devices for acute phase, even for chronic stroke survivors. The stroke patients(n=16; male=8, female=8), in this trial, were provided informed consent to the investigation. All the individuals participated in 1 weeks of training for using cups, randomized over dedicated dual chamber based assistive cups(DC) or placebo-cups(PC) training. All the participants were assessed within 1 week before and after the intervention period. 3-dimensional motion analysis, sEMG(surface electromyography) and 3-dimensional trunk movement were assessed. The result presents DC data group compared with PC showed, they needed lesser ROM(range of motion) at the phase of drinking in shoulder movements and lesser muscle activities on upper trapezius, deltoid middle fiber and triceps brachii muscles, lesser tilting movement on front and back side in drinking phase, the differences were statistically significant(p<.05). Dual chamber-based assistive cup could be one of efficient way to complete ADLs(activities of daily living), especially drinking tasks, and these evidence data may contribute to determine certain rehabilitation policies related to assistive devise usage.
Keywords
Assistive Cup; 3D motion analysis; Drinking; Assistive technology; ADLs; Stroke;
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