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移动数字康复 被引量:2

Digital Pervasive Motor Impairment Rehabilitation
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摘要 基于人体传感网络的智能感知技术,为康复提供了泛在的数字化和定量化评估方法,实时交互式的可视化和游戏化训练方式,使患者自己看到康复效果;网络化的管理方式使康复师可以远程指导。这种可移动的泛在康复技术和系统将对物理康复产生深远影响。本文以心脏康复和运动康复为例,讨论数字化运动康复技术。 Body area sensor networks provide means for quantitative functional evaluation and pervasive and visualized rehabilitation exercise training.By embedding evaluation into the rehab exercise,the patient can see his exercise results,and the rehab supervision can be done remotely via networking.This pervasive and quantitative rehabilitation technique and systems will create great impact to the rehabilitation research and practice.Here in this paper,we shall go to the details with two examples on cardiovascular patient rehabilitation monitoring,and movement rehabilitation of stroke patients.
出处 《中国医疗器械信息》 2012年第11期22-27,共6页 China Medical Device Information
基金 国家自然科学基金重点项目"基于微型传感器的人体运动信息融合理论与方法研究"(项目编号:60932001)的支持 科技部与新加坡媒体发展局合作项目
关键词 智能感知 运动捕获 功能评定 康复训练 smart sensing motion capture function assessment rehabilitation training
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参考文献5

  • 1Philip F. Binkley, The Next Era of Examination and Management of the Patient with Cardiovascular Disease, IEEE Engineering In Medicine and Biology Magazine, May/June 2003, pp23-24.
  • 2Shaofeng Wang, Lianying Ji, Aiguang Li, Jiankang Wu, Body Sensor Networks for Ubiquitous Healthcare. Journal of Control Theory and Application, Vol.9 No. 1.2011.
  • 3Shuai Huang, Chun Luo, Shi-wei Ye, Fei Liu, Bin Xie, Cai-feng Wang, Li Yang, Zhen Huang, Jian-kang Wu. Motor Impairment Evaluation for Upper Limb in Stroke Patients Based on Micro-sensor. International Journal of Rehabilitation Research, Vo135 (2), pp161-169, 2012.
  • 4A. A. Timmermans, H. A. Seelen, R. D. Willmann and H. Kingma, "Technology-assisted Training of Arm-hand Skills in Stroke: Concepts on Reacquisition of Motor Control and Therapist Guidelines for Rehabilitation Technology Design," J Neuroeng Rehabil, vol. 6, pp. 1-18, January 2009.
  • 5S. Patel, R. Hughes, T. Hester, J. Stein, M. Akay, J. G. Dy and P. Bonato, "A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology," Proceedings of the IEEE, Vol. 98, No. 3, pp. 450-161, March 2010.

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