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基于牵张反射阈值的上肢痉挛评定方法与装置及其效度信度研究

胡保华 穆景颂 朱宗俊 赵鹏鹏 王勇

自动化学报2018,Vol.44Issue(1):129-139,11.
自动化学报2018,Vol.44Issue(1):129-139,11.DOI:10.16383/j.aas.2018.c160240

基于牵张反射阈值的上肢痉挛评定方法与装置及其效度信度研究

Upper Limb Spasticity Evaluation Based on Stretch Reflex Threshold:Method, Device, Validity and Reliability

胡保华 1穆景颂 2朱宗俊 3赵鹏鹏 1王勇1

作者信息

  • 1. 合肥工业大学机械工程学院 合肥230009
  • 2. 安徽省立医院康复医学科 合肥230036
  • 3. 安徽中医药大学第一附属医院针灸康复科 合肥230031
  • 折叠

摘要

Abstract

Clinical methods for spasticity evaluation are criticized as subjective,and their validity and reliability remain to improve. This study is to present a new evaluation method for accurate and reliable evaluation of spasticity based on a stretch reflex threshold which is obtained from the acceleration and angle data. A corresponding device is designed to test the validity and reliability of the stretch reflex threshold in spasticity assessment, and further study is conducted to discuss the validity and reliability of acceleration mean variance(AMV).Spasticity is evaluated in 22 subjects with upper limb spasticity using the constructed portable device and the modified Ashworth scale (MAS) by four evaluators. The results of correlation analysis show that there is a strong negative correlation (r=?0.831 ~ ?0.953, P <0.05) between MAS and the stretch reflex threshold. Also,the correlation coefficient between the MAS and AMV is(r=0.665~0.900, P < 0.05). Their test-retest reliabilities are (r = 0.890 ~ 0.962, P < 0.05) and (r = 0.632 ~ 0.928, P < 0.05). These results demonstrate that the method and device may provide a quantitative and practical way for spasticity measurement.

关键词

痉挛/牵张反射阈值/加速度/改良Ashworth量表

Key words

Spasticity/stretch reflex threshold/acceleration/modified Ashworth scale(MAS)

引用本文复制引用

胡保华,穆景颂,朱宗俊,赵鹏鹏,王勇..基于牵张反射阈值的上肢痉挛评定方法与装置及其效度信度研究[J].自动化学报,2018,44(1):129-139,11.

基金项目

国家自然科学基金(41076061),科技部中小企业创新基金(11C26214402042)资助Supported by National Natural Science Foundation of China(41076061),and Ministry of Science and Technology of Small and Medium-sized Enterprise Innovation Fund(11C26214402042) (41076061)

自动化学报

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