Abstract

Joint moment estimation by a camera-based motion measurement system and a force plate has a limitation of measurement environment and is costly. The purpose of this paper is to evaluate quantitatively inertial sensor-based joint moment estimation methods with five-link, four-link and three-link rigid body models using different trunk segmented models. Joint moments, ground reaction forces (GRF) and center of pressure (CoP) were estimated for squat and sit-to-stand movements in the sagittal plane measured with six healthy subjects. The five-link model and the four-link model that the trunk was divided at the highest point of the iliac crest (four-link-IC model) were appropriate for joint moment estimation with inertial sensors, which showed average RMS values of about 0.1 Nm/kg for all lower limb joints and average correlation coefficients of about 0.98 for hip and knee joints and about 0.80 for ankle joint. Average root mean square (RMS) errors of horizontal and vertical GRFs and CoP were about 10 N, 15 N and 2 cm, respectively. Inertial sensor-based method was suggested to be an option for estimating joint moments of the trunk segments. Inertial sensors were also shown to be useful for the bottom-up estimation method using measured GRFs, in which average RMS values and average correlation coefficients were about 0.06 Nm/kg and larger than about 0.98 for all joints.

Highlights

  • Persons with decreased muscle strength and motor disabled subjects have some difficulties in their daily life

  • This paper aims to evaluate quantitatively inertial sensor-based estimation methods of joint moments and ground reaction forces using five-link, four-link and three-link rigid body models that consist of different trunk models

  • This paper aimed at quantitative evaluation of inertial sensor-based estimation methods of joint moments and ground reaction forces in the sagittal plane with three-link, four-link and five-link rigid body models that consisted of different trunk segmented models

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Summary

Introduction

Persons with decreased muscle strength and motor disabled subjects have some difficulties in their daily life. Lower motor functions such as sit-to-stand and walking are important for independent daily life. Those subjects need rehabilitation training to improve or restore their motor functions. Inertial sensors have been used to evaluate motor function: assessment of lower motor function for knee osteoarthritis patients [1], balance and knee extensibility evaluation of hemiplegic gait [2], effect of robotic gait rehabilitation [3], effect of drop foot correction by FES [4], gait analysis for outcome measurement after knee arthroplasty [5], and assessment of daily-life reaching performance after stroke [6]. Most of the studies using inertial sensors measure movement time, calculate joint or inclination angles, walking speed, step or stride length and segment position relative to other position, and detect gait event timings

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