Comparison and adaptation of step length and gait speed estimators from single belt worn accelerometer positioned on lateral side of the body

Taufique Sayeed, A. Samà, Andreu Català, J. Cabestany
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引用次数: 20

Abstract

Parkinson's Disease (PD) is a neurodegenerative disease that predominantly alter patients' motor performance and compromises the speed, the automaticity and fluidity of natural movements. The patients fluctuate between periods in which they can move almost normally for some hours (ON state) and periods with motor disorders (OFF state). Gait properties are affected by the motor state of a patient: reduced stride length, reduced gait speed, increased stride width etc. The ability to assess the motor states (ON/OFF) on a continuous basis for long time without disturbing the patients' daily life activities is an important component of PD management. An accurate report of motor states could allow clinics to adjust the medication regimen to avoid OFF periods. The real-time monitoring will also allow an online treatment by combining, for instance, with automatic drug-administration pump doses. Many studies have attempted to extract gait properties through a belt-worn single tri-axial accelerometer. In this paper, a user friendly position is proposed to place the accelerometer and six step length estimators are compared considering the proposed sensor placement in a preliminary database of healthy volunteers. Adaptation methods to some of these estimators are also proposed and compared. The comparison shows that the adapted estimators improve the performance and reduce errors in respect of the original methods applied in the new sensor location.
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放置在身体侧面的单带式加速度计的步长和步速估计器的比较和适应
帕金森病(PD)是一种神经退行性疾病,主要改变患者的运动表现,损害自然运动的速度、自动性和流动性。患者在几个小时内几乎可以正常移动的时期(ON状态)和运动障碍时期(OFF状态)之间波动。步态特性受患者运动状态的影响:步长减少,步速降低,步宽增加等。在不干扰患者日常生活活动的情况下,长时间连续评估运动状态(开/关)的能力是帕金森病管理的重要组成部分。一份准确的运动状态报告可以让诊所调整药物治疗方案,以避免OFF期。实时监测还将允许在线治疗,例如与自动给药泵剂量相结合。许多研究都试图通过皮带上的单三轴加速度计来提取步态特性。本文提出了一种用户友好的位置来放置加速度计,并在健康志愿者的初步数据库中比较了六种步长估计。对其中一些估计量提出了适应方法,并进行了比较。比较表明,与原有的传感器定位方法相比,改进后的估计方法提高了定位性能,减小了定位误差。
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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