Stroke Patients' Acceptance of a Smart Garment for Supporting Upper Extremity Rehabilitation

被引:16
|
作者
Wang, Qi [1 ,2 ]
Timmermans, Annick [3 ]
Chen, Wei [4 ]
Jia, Jie [5 ,6 ]
Ding, Li [5 ]
Xiong, Li [7 ]
Rong, Jifeng [7 ]
Markopoulos, Panos [2 ]
机构
[1] Tongji Univ, Coll Design & Innovat, Shanghai 200092, Peoples R China
[2] Eindhoven Univ Technol, Ind Design Dept, NL-5612AZ Eindhoven, Netherlands
[3] Univ Hasselt, BIOMED Biomed Res Inst, BE-3500 Diepenbeek, Belgium
[4] Fudan Univ, Sch Informat Sci & Technol, Ctr Intelligent Med Elect, Shanghai 200433, Peoples R China
[5] Fudan Univ, Huashan Hosp, Dept Rehabil Med, Shanghai 200040, Peoples R China
[6] Fudan Univ, Huashan Hosp, Natl Clin Res Ctr Aging & Med, Shanghai 200040, Peoples R China
[7] Shanghai First Rehabil Hosp, Shanghai 200090, Peoples R China
来源
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE | 2018年 / 6卷
关键词
Wearable system; stroke; rehabilitation; smart garment; compensatory movement; PSYCHOMETRIC PROPERTIES; TECHNOLOGY; COMPENSATION; RECOVERY;
D O I
10.1109/JTEHM.2018.2853549
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The objective is to evaluate to which extent that Zishi a garment equipped with sensors that can support posture monitoring can be used in upper extremity rehabilitation training of stroke patients. Seventeen stroke survivors (mean age: 55 years old, SD =13.5) were recruited in three hospitals in Shanghai. Patients performed 4 tasks (analytical shoulder flexion, functional shoulder flexion placing a cooking pot, analytical flexion in the scapular plane, and functional flexion in the scapular plane placing a bottle of water) with guided feedback on a tablet that was provided through inertial sensors embedded in the Zishi system at the scapula and the thoracic spine region. After performing the training tasks, patients completed four questionnaires for assessing their motivation, their acceptance of the system, its credibility, and usability. The study participants were highly motivated to train with Zishi and the system was rated high usability, while the subjects had moderate confidence with technology supported training in comparison with the training with therapists. The patients respond positively to using Zishi to support rehabilitation training in a clinical setting. Further developments need to address more on engaging and adaptive feedback. This paper paves the way for larger scale effectiveness studies.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] A novel fully immersive virtual reality environment for upper extremity rehabilitation in patients with stroke
    Mekbib, Destaw B.
    Debeli, Dereje Kebebew
    Zhang, Li
    Fang, Shan
    Shao, Yuling
    Yang, Wei
    Han, Jiawei
    Jiang, Hongjie
    Zhu, Junming
    Zhao, Zhiyong
    Cheng, Ruidong
    Ye, Xiangming
    Zhang, Jianmin
    Xu, Dongrong
    ANNALS OF THE NEW YORK ACADEMY OF SCIENCES, 2021, 1493 (01) : 75 - 89
  • [2] A Training Exoskeleton for Rehabilitation in Upper Extremity for Stroke Patients
    Faiz, Sohaib
    Waris, Asim
    Mushtaq, Shafaq
    Khan, Niaz B.
    Jameel, Mohammed
    Galal, Ahmed M.
    JOURNAL OF COMPUTATIONAL BIOPHYSICS AND CHEMISTRY, 2023, 22 (03): : 273 - 281
  • [3] Virtual reality for upper extremity rehabilitation in early stroke: a pilot randomized controlled trial
    Yin, Chan Wai
    Sien, Ng Yee
    Ying, Low Ai
    Chung, Stephanie Fook-Chong Man
    Leng, Dawn Tan May
    CLINICAL REHABILITATION, 2014, 28 (11) : 1107 - 1114
  • [4] Effects of Upper-Extremity Rehabilitation Using Smart Glove in Patients With Subacute Stroke: Results of a Prematurely Terminated Multicenter Randomized Controlled Trial
    Kang, Min-Gu
    Yun, Seo Jung
    Lee, Sang Yoon
    Oh, Byung-Mo
    Lee, Hyun Haeng
    Lee, Shi-Uk
    Seo, Han Gil
    FRONTIERS IN NEUROLOGY, 2020, 11
  • [5] The potential power of robotics for upper extremity stroke rehabilitation
    Dukelow, Sean P.
    INTERNATIONAL JOURNAL OF STROKE, 2017, 12 (01) : 7 - 8
  • [6] Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients-A Feasibility Study
    Sebastian-Romagosa, Marc
    Cho, Woosang
    Ortner, Rupert
    Murovec, Nensi
    Von Oertzen, Tim
    Kamada, Kyousuke
    Allison, Brendan Z.
    Guger, Christoph
    FRONTIERS IN NEUROSCIENCE, 2020, 14
  • [7] Gross motor ability predicts response to upper extremity rehabilitation in chronic stroke
    George, Sarah Hulbert
    Rafiei, Mohammad Hossein
    Borstad, Alexandra
    Adeli, Hojjat
    Gauthier, Lynne V.
    BEHAVIOURAL BRAIN RESEARCH, 2017, 333 : 314 - 322
  • [8] Motor Training of Upper Extremity With Functional Electrical Stimulation in Early Stroke Rehabilitation
    Mangold, Sabine
    Schuster, Corina
    Keller, Thierry
    Zimmermann-Schlatter, Andrea
    Ettlin, Thierry
    NEUROREHABILITATION AND NEURAL REPAIR, 2009, 23 (02) : 184 - 190
  • [9] Stroke patients' motivation for home-based upper extremity rehabilitation with eHealth tools
    Langerak, A. J.
    D'Olivo, P.
    Thijm, O. S. A.
    Regterschot, G. R. H.
    Meskers, C. G. M.
    Rozendaal, M. C.
    Visch, V. T.
    Bussmann, J. B. J.
    DISABILITY AND REHABILITATION, 2024, 46 (22) : 5323 - 5333
  • [10] Effects of Therapist Intervention during Upper-Extremity Robotic Rehabilitation in Patients with Stroke
    Kim, Si-Yun
    Kim, Yu-Mi
    Koo, See-Won
    Park, Hyun-Bin
    Yoon, Yong-Soon
    HEALTHCARE, 2023, 11 (10)