Towards Gait Analysis And Rehabilitation of Parkinson's Disease Patients

Inam ul Haq, Ghulam Ali, M. A. N. Ul Ghani, Amna Nadeem
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引用次数: 1

Abstract

This paper aims at designing an efficient real-time gait analysis algorithm to detect a possible fall. Four-meter Go and Back (4G) scale has been designed for taking measurements of experiments. Two wireless accelerometers are put on waist positions of 17 subjects suffering from Parkinson's disease. Based on information captured, a real-time gait analysis algorithm is implemented to detect an ambulatory deviation. Furthermore, the proposed method is flexible to adjust to respond to the gait-related movements. Other researchers can use this algorithm in their gait-related studies. In this paper, different gait-related parameters are also discussed and represented through a 4GB scale.
帕金森病患者的步态分析与康复研究
本文旨在设计一种高效的实时步态分析算法来检测可能的跌倒。4米的来回(4G)刻度被设计用于测量实验。两个无线加速度计被放置在17名帕金森病患者的腰部位置。基于捕获的信息,实现了实时步态分析算法来检测行走偏差。此外,该方法具有灵活调整以响应步态相关运动的能力。其他研究人员可以在他们的步态相关研究中使用这种算法。本文还讨论了不同的步态相关参数,并通过4GB尺度表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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