期刊文献+

计算机康复评定系统的设计与开发进展 被引量:1

Design & Development Progress of the Computer Rehabilitation Evaluation System
下载PDF
导出
摘要 综述了计算机康复评定系统的设计开发进展和面临的挑战,并对计算机康复评定系统的发展方向进行了展望。 This review paper presents the current design & development progress and challenges of computer rehabilitation evaluation system.
出处 《中国医疗器械杂志》 CAS 2013年第6期441-443,共3页 Chinese Journal of Medical Instrumentation
关键词 康复 计算机 评定系统 rehabilitation, computer, evaluation system
  • 相关文献

参考文献26

  • 1Lammi MH, Smith VH, Tate RL, et ah The minimally conscious state and recovery potential: a follow-up study 2 to 5 years after traumatic brain injury [J]. Arch Phys Med Rehabil, 2005, 86(4), 746-754.
  • 2Whyte J, Katz D, Long D, et ah Predictors of outcome in prolonged posttraumatic disorders of consciousness and assessment of medication effects: a multicenter study[J]. Arch Phys Med Rehabil, 2005, 86(3) :453-462.
  • 3Vangel SJ Jr, Rapport L J, Hanks RA, et ah Long-term medical care utilization and costs among traumatic brain injury survivors[J]. Am J Phy Med Rehabil, 2005, 84(3): 153-160.
  • 4曹琅琳,江学成.“脑损伤后功能状况评分”软件的开发和应用[J].中国康复医学杂志,2005,20(10):770-771. 被引量:1
  • 5沈敏海,林峋,林松.神经康复功能评定系统3.0版软件的开发与应用[J].中国康复医学杂志,2002,17(5):291-292. 被引量:12
  • 6American physical therapy association. Guidelines for physical documentation[M]. Alexandria, USA:APTA, 1998.
  • 7Quinn Lori. Functional outcomes documentation for rehabilitation[M]. Philadelphia: Saunders, 2003.
  • 8Linfrank P. SOAP for neurology[M]. Philadelphia: Lippincott Williams & Wilkins, 2006.
  • 9李奎,窦祖林,万桂芳,郑金利,周利红.基于SOAP格式的康复治疗记录软件的设计与应用[J].中国康复,2007,22(5):340-341. 被引量:6
  • 10Borcherding Sherry. Documentation manual for writing SOAP notes in occupational therapy [M].2nd ed. Thorofare, H J: SLACK,2005.

二级参考文献95

  • 1吴毅,杨晓冰.来自2001年国际物理与康复医学会议的印象与体会[J].中国组织工程研究与临床康复,2001,10(19). 被引量:2
  • 2胡荣东.多媒体表达系统在脑卒中失语症患者康复中的效果评价[J].中国临床康复,2004,8(19):3820-3820. 被引量:2
  • 3卫生都医政司主编.中国康复医学诊疗规范[M].北京:华夏出版社,1998.14.
  • 4[1]DARIO P, GUGLIELMELLI E, LASCHI C. Humanoids and personal robots: Design and experiments [ J ] . Journal of Robotic Systems, 2001,18 (12): 673 - 690.
  • 5[4]TSUJI L T. Pattern classification of time-series EMG signals using neural networks [ J ]. International Journal of Adaptive Control and Signal Processing, 2000, 14:829 -848.
  • 6[5]LATERZ F. Analysis of EMG signals by means of the matched wavelet transform [ J ]. Electronics Letters,1997,5:357 - 359.
  • 7[7]MORIN E L. Identifying the EMG- force relationship [ J]. IEEE EMBC and CMBEC, 1995,2:1397 - 1398.
  • 8[8]CLANCY E A. Relating agonist - antagonist electromyograms to joint torque during isometric, quasi-isotonic,nonfatiguing contractions [ J ]. IEEE-Trans Bioned Eng,1997,44(10): 1024 - 1028.
  • 9[9]MATHIEU P A. EMG and Kinematics of normal subjets performing trunk flexion/extensions freely in space [ J ].Journal of Electromyography and Kinesiology, 2000, 10(3): 197 -209.
  • 10[10]LUH J J. Using time-varying autogressive filter to improve EMG amplitude estimator[J]. IEEE- EMBC and CMBEC, 1995, 2:1343 - 1344.

共引文献118

同被引文献24

引证文献1

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部