Submovements grow larger, fewer, and more blended during stroke recovery
Submovements grow larger, fewer, and more blended during stroke recovery
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DOI：
10.1123/mcj.8.4.472
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发表时间：
2004-10-01
期刊：
影响因子：
1.1
通讯作者：
Hogan, N
中科院分区：
文献类型：
--
作者：
Rohrer, B;Fasoli, S;Hogan, N
子运动是人体运动的假设构建块，离散的弹道运动由更复杂的运动组成。使用一种新的算法，从41人从中风恢复的点对点运动中提取子运动。对提取的子运动的分析表明，在治疗过程中，患者的子运动在峰值速度和持续时间上趋于增加。用于产生给定运动的子运动的数量减少了。住院患者（卒中后1个月内）相邻子运动峰值之间的时间缩短，但门诊患者（卒中后12个月以上）作为一个组没有缩短。所有患者的子运动变得更加重叠，但住院患者更为明显。它量化患者恢复的强度和一致性表明，对子运动重叠的分析可能是未来人类运动研究中测量学习或运动行为其他变化的有用工具。
Submovements are hypothesized building blocks of human movement, discrete ballistic movements of which more complex movements are composed. Using a novel algorithm, submovements were extracted from the point-to-point movements of 41 persons recovering from stroke. Analysis of the extracted submovements showed that, over the course of therapy, patients' submovements tended to increase in peak speed and duration. The number of submovements employed to produce a given movement decreased. The time between the peaks of adjacent submovements decreased for inpatients (those less than 1 month post-stroke), but not for outpatients (those greater than 12 months post-stroke) as a group. Submovements became more overlapped for all patients, but more markedly for inpatients. The strength and consistency with which it quantified patients' recovery indicates that analysis of submovement overlap might be a useful tool for measuring learning or other changes in motor behavior in future human movement studies.