脑卒中后康复的动态时间扭曲分析

Biomechanica Hungarica Pub Date : 2014-12-01 DOI:10.17489/biohun/2014/2/06

B. Magyar, G. Stépán, M. Chen

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引用次数: 1

摘要

摘要本文介绍了动态时间扭曲(DTW)算法在日常生活活动(ADLs)中人体功能运动分析中的应用。动态时间扭曲最初是为自动语音识别而开发的，尽管该方法已被生物力学的几个领域所采用。作为卒中后康复项目COSMOSYS的一部分，目的是量化偏瘫受试者的ADL表现，从而能够跟踪他们在物理治疗期间的进展。DOI: 10.17489 / biohun / 2014/2/06

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Dynamic time warping analysis in post-stroke rehabilitation

Abstract This paper presents the application of the Dynamic Time Warping (DTW) algorithm in the analysis of human functional movements in activities of daily living (ADLs). Dynamic Time Warping was originally developed for automatic speech recognition, though the method has been adopted by several fi elds of biomechanics. As a part of the post-stroke rehabilitation project COSMOSYS, the aim is to quantify the ADL performances of hemiparetic subjects, hence to be able to track their progress during physiotherapy. DOI: 10.17489/biohun/2014/2/06

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Biomechanica Hungarica

自引率

0.00%

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审稿时长

24 weeks