Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system

Gait analysis is relevant to a broad range of clinical applications in areas of orthopedics, neurosurgery, rehabilitation and the sports medicine. There are various methods available for capturing and analyzing the gait cycle. Most of gait analysis methods are computationally expensive and difficult...

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Main Authors: Sharif Bidabadi, S., Murray, Iain, Lee, G.
Format: Journal Article
Published: 2018
Online Access:http://hdl.handle.net/20.500.11937/72430
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author Sharif Bidabadi, S.
Murray, Iain
Lee, G.
author_facet Sharif Bidabadi, S.
Murray, Iain
Lee, G.
author_sort Sharif Bidabadi, S.
building Curtin Institutional Repository
collection Online Access
description Gait analysis is relevant to a broad range of clinical applications in areas of orthopedics, neurosurgery, rehabilitation and the sports medicine. There are various methods available for capturing and analyzing the gait cycle. Most of gait analysis methods are computationally expensive and difficult to implement outside the laboratory environment. Inertial measurement units, IMUs are considered a promising alternative for the future of gait analysis. This study reports the results of a systematic validation procedure to validate the foot pitch angle measurement captured by an IMU against Vicon Optical Motion Capture System, considered the standard method of gait analysis. It represents the first phase of a research project which aims to objectively evaluate the ankle function and gait patterns of patients with dorsiflexion weakness (commonly called a “drop foot”) due to a L5 lumbar radiculopathy pre- and post-lumbar decompression surgery. The foot pitch angle of 381 gait cycles from 19 subjects walking trails on a flat surface have been recorded throughout the course of this study. Comparison of results indicates a mean correlation of 99.542% with a standard deviation of 0.834%. The maximum root mean square error of the foot pitch angle measured by the IMU compared with the Vicon Optical Motion Capture System was 3.738° and the maximum error in the same walking trail between two measurements was 9.927°. These results indicate the level of correlation between the two systems.
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spelling curtin-20.500.11937-724302019-09-02T06:56:05Z Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system Sharif Bidabadi, S. Murray, Iain Lee, G. Gait analysis is relevant to a broad range of clinical applications in areas of orthopedics, neurosurgery, rehabilitation and the sports medicine. There are various methods available for capturing and analyzing the gait cycle. Most of gait analysis methods are computationally expensive and difficult to implement outside the laboratory environment. Inertial measurement units, IMUs are considered a promising alternative for the future of gait analysis. This study reports the results of a systematic validation procedure to validate the foot pitch angle measurement captured by an IMU against Vicon Optical Motion Capture System, considered the standard method of gait analysis. It represents the first phase of a research project which aims to objectively evaluate the ankle function and gait patterns of patients with dorsiflexion weakness (commonly called a “drop foot”) due to a L5 lumbar radiculopathy pre- and post-lumbar decompression surgery. The foot pitch angle of 381 gait cycles from 19 subjects walking trails on a flat surface have been recorded throughout the course of this study. Comparison of results indicates a mean correlation of 99.542% with a standard deviation of 0.834%. The maximum root mean square error of the foot pitch angle measured by the IMU compared with the Vicon Optical Motion Capture System was 3.738° and the maximum error in the same walking trail between two measurements was 9.927°. These results indicate the level of correlation between the two systems. 2018 Journal Article http://hdl.handle.net/20.500.11937/72430 10.1007/s13534-018-0072-5 fulltext
spellingShingle Sharif Bidabadi, S.
Murray, Iain
Lee, G.
Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system
title Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system
title_full Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system
title_fullStr Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system
title_full_unstemmed Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system
title_short Validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3D motion capture system
title_sort validation of foot pitch angle estimation using inertial measurement unit against marker-based optical 3d motion capture system
url http://hdl.handle.net/20.500.11937/72430