Assessment of Human Gait Parameters Based on Accelerometry
Assessment of Human Gait Parameters Based on Accelerometry
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DOI：
10.1007/s10527-021-10078-y
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发表时间：
2021-07-01
影响因子：
0.3
通讯作者：
Buzhinsky, V. S.
中科院分区：
文献类型：
--
作者：
Dorofeev, N. V.;Grecheneva, A. V.;Buzhinsky, V. S.
发展了一种评估人体步态生物力学参数的技术。该技术可用于基于长期加速度计监测数据快速评估肌肉骨骼系统的状态。提出了一种利用人体以不同步速行走时记录的加速度计信号的相关系数来训练神经网络根据日常加速度计数据分离单个步长的方法。开发的快速评估技术允许通过分析步态参数来检测运动病理的特征迹象。
A technique for assessing the biomechanical parameters of human gait has been developed. The technique can be used for rapid assessment of the state of the musculoskeletal system based on long-term accelerometer monitoring data. It is proposed to use the correlation coefficients of accelerometer signals recorded in a person walking at different paces to teach a neural network to isolate individual steps based on daily accelerography data. The developed rapid assessment technique allows characteristic signs of motor pathology to be detected by analyzing the gait parameters.