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用于人体步态分析的可穿戴超声传感器网络测距的多径补偿方法。

A Multi-Path Compensation Method for Ranging in Wearable Ultrasonic Sensor Networks for Human Gait Analysis.

机构信息

School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore 639798, Singapore.

Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24060, USA.

出版信息

Sensors (Basel). 2019 Mar 18;19(6):1350. doi: 10.3390/s19061350.

DOI:10.3390/s19061350
PMID:30889883
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6471941/
Abstract

Gait analysis in unrestrained environments can be done with a single wearable ultrasonic sensor node on the lower limb and four fixed anchor nodes. The accuracy demanded by such systems is very high. Chirp signals can provide better ranging and localization performance in ultrasonic systems. However, we cannot neglect the multi-path effect in typical indoor environments for ultrasonic signals. The multi-path components closer to the line of sight component cannot be identified during correlation reception which leads to errors in the estimated range and which in turn affects the localization and tracking performance. We propose a novel method to reduce the multi-path effect in ultrasonic sensor networks in typical indoor environments. A gait analysis system with one mobile node attached to the lower limb was designed to test the performance of the proposed system during an indoor treadmill walking experiment. An optical motion capture system was used as a benchmark for the experiments. The proposed method gave better tracking accuracy compared to conventional coherent receivers. The static measurements gave 2.45 mm standard deviation compared to 10.45 mm using the classical approach. The RMSE between the ultrasonic gait analysis system and the reference system improved from 28.70 mm to 22.28 mm. The gait analysis system gave good performance for extraction of spatial and temporal parameters.

摘要

在无约束环境中,可通过在下肢佩戴单个可穿戴超声传感器节点和四个固定锚节点来进行步态分析。此类系统要求的精度非常高。啁啾信号可在超声系统中提供更好的测距和定位性能。然而,我们不能忽略典型室内环境中超声信号的多径效应。在相关接收期间,无法识别接近视线分量的多径分量,这会导致估计距离出现误差,从而影响定位和跟踪性能。我们提出了一种在典型室内环境中降低超声传感器网络中多径效应的新方法。设计了一个带有一个移动节点的下肢步态分析系统,以在室内跑步机行走实验中测试所提出系统的性能。实验采用光学运动捕捉系统作为基准。与传统相干接收器相比,所提出的方法具有更好的跟踪精度。与使用传统方法相比,静态测量的标准偏差为 2.45 毫米,而使用经典方法则为 10.45 毫米。超声步态分析系统与参考系统之间的 RMSE 从 28.70 毫米提高到 22.28 毫米。步态分析系统在提取空间和时间参数方面表现良好。

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本文引用的文献

1
A Doppler-Tolerant Ultrasonic Multiple Access Localization System for Human Gait Analysis.一种多普勒容忍超声多址定位系统,用于人体步态分析。
Sensors (Basel). 2018 Jul 27;18(8):2447. doi: 10.3390/s18082447.
2
A wearable ultrasonic sensor network for analysis of bilateral gait symmetry.一种用于分析双侧步态对称性的可穿戴超声传感器网络。
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:4455-4458. doi: 10.1109/EMBC.2017.8037845.
3
Assessment of Foot Trajectory for Human Gait Phase Detection Using Wireless Ultrasonic Sensor Network.
基于无线超声传感器网络的人体步态阶段检测中的足部轨迹评估
IEEE Trans Neural Syst Rehabil Eng. 2016 Jan;24(1):88-97. doi: 10.1109/TNSRE.2015.2409123. Epub 2015 Mar 5.
4
Ambulatory measurement of three-dimensional foot displacement during treadmill walking using wearable wireless ultrasonic sensor network.使用可穿戴无线超声传感器网络在跑步机行走过程中对三维足位移进行动态测量。
IEEE J Biomed Health Inform. 2015 Mar;19(2):446-52. doi: 10.1109/JBHI.2014.2316998. Epub 2014 Apr 14.
5
IMU-based joint angle measurement for gait analysis.用于步态分析的基于惯性测量单元的关节角度测量
Sensors (Basel). 2014 Apr 16;14(4):6891-909. doi: 10.3390/s140406891.
6
Gait analysis in children with cerebral palsy via inertial and magnetic sensors.基于惯性和磁传感器的脑性瘫痪儿童步态分析。
Med Biol Eng Comput. 2013 Apr;51(4):377-86. doi: 10.1007/s11517-012-1006-5. Epub 2012 Dec 9.
7
Measuring gait using a ground laser range sensor.使用地面激光测距传感器测量步态。
Sensors (Basel). 2009;9(11):9133-46. doi: 10.3390/s91109133. Epub 2009 Nov 17.
8
Estimation of stride length in level walking using an inertial measurement unit attached to the foot: a validation of the zero velocity assumption during stance.使用附着在脚部的惯性测量单元估计水平行走中的步长:对站立期间零速度假设的验证。
J Biomech. 2011 Jul 7;44(10):1991-4. doi: 10.1016/j.jbiomech.2011.04.035. Epub 2011 May 23.
9
Toward a highly accurate ambulatory system for clinical gait analysis via UWB radios.迈向一种通过超宽带无线电实现高精度的临床步态分析动态系统。
IEEE Trans Inf Technol Biomed. 2010 Mar;14(2):284-91. doi: 10.1109/TITB.2009.2037619. Epub 2009 Dec 15.
10
Gait analysis using a shoe-integrated wireless sensor system.使用鞋内集成无线传感器系统的步态分析。
IEEE Trans Inf Technol Biomed. 2008 Jul;12(4):413-23. doi: 10.1109/TITB.2007.899493.