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利用惯性传感器数据对遗传性痉挛性截瘫步态序列进行分割

Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia.

作者信息

Martindale Christine F, Strauss Martin, Gassner Heiko, List Julia, Muller Meinard, Klucken Jochen, Kohl Zacharias, Eskofier Bjoern M

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:1266-1269. doi: 10.1109/EMBC.2017.8037062.

Abstract

Gait analysis is an important tool for diagnosis, monitoring and treatment of neurological diseases. Among these are hereditary spastic paraplegias (HSPs) whose main characteristic is heterogeneous gait disturbance. So far HSP gait has been analysed in a limited number of studies, and within a laboratory set up only. Although the rarity of orphan diseases often limits larger scale studies, the investigation of these diseases is still important, not only to the affect population, but also for other diseases which share gait characteristics.

摘要

步态分析是诊断、监测和治疗神经疾病的重要工具。其中包括遗传性痉挛性截瘫(HSPs),其主要特征是步态紊乱具有异质性。到目前为止,对HSP步态的分析研究数量有限,且仅在实验室环境中进行。尽管罕见病的稀缺性常常限制大规模研究,但对这些疾病的研究仍然很重要,不仅对受影响人群而言如此,对于其他具有相同步态特征的疾病来说也是如此。

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