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Authors: A. Sant'Anna 1 ; N. Wickstrom 1 ; R. Zügner 2 and R. Tranberg 2

Affiliations: 1 Halmstad University, Sweden ; 2 Sahlgrenska Academy and University of Gothenburg, Sweden

ISBN: 978-989-8425-89-8

Keyword(s): Gait Analysis, Inertial Sensors, Symmetry, Normality.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Computer Vision, Visualization and Computer Graphics ; Devices ; Health Information Systems ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Monitoring and Telemetry ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Physiological Computing Systems ; Telecommunications ; Wearable Sensors and Systems

Abstract: Gait analysis (GA) is an important tool in the assessment of several physical and cognitive conditions. The lack of simple and economically viable quantitative GA systems has hindered the routine clinical use of GA in many areas. As a result, patients may be receiving sub-optimal treatment. The present study introduces and evaluates measures of gait symmetry and gait normality calculated from inertial sensor data. These indices support the creation of mobile, cheap and easy to use quantitative GA systems. The proposed method was compared to measures of symmetry and normality derived from 3D kinematic data. Results show that the proposed method is well correlated to the kinematic analysis in both symmetry (r=0.84, p<0.0001) and normality (r=0.81, p<0.0001). In addition, the proposed indices can be used to classify normal from abnormal gait.

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Paper citation in several formats:
Sant'Anna, A.; Wickstrom, N.; Zügner, R. and Tranberg, R. (2012). A WEARABLE GAIT ANALYSIS SYSTEM USING INERTIAL SENSORS PART I - Evaluation of Measures of Gait Symmetry and Normality against 3D Kinematic Data.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 180-188. DOI: 10.5220/0003707601800188

@conference{biosignals12,
author={A. Sant'Anna. and N. Wickstrom. and R. Zügner. and R. Tranberg.},
title={A WEARABLE GAIT ANALYSIS SYSTEM USING INERTIAL SENSORS PART I - Evaluation of Measures of Gait Symmetry and Normality against 3D Kinematic Data},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={180-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003707601800188},
isbn={978-989-8425-89-8},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - A WEARABLE GAIT ANALYSIS SYSTEM USING INERTIAL SENSORS PART I - Evaluation of Measures of Gait Symmetry and Normality against 3D Kinematic Data
SN - 978-989-8425-89-8
AU - Sant'Anna, A.
AU - Wickstrom, N.
AU - Zügner, R.
AU - Tranberg, R.
PY - 2012
SP - 180
EP - 188
DO - 10.5220/0003707601800188

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