Wearable sensors for gait analysis

Author

Agostini, V. ; Knaflitz, M. ; Antenucci, L. ; Lisco, G. ; Gastaldi, L. ; Tadano, S.

Author_Institution

Dept. of Electron. & Telecommun., Politec. di Torino, Turin, Italy

fYear

2015

fDate

7-9 May 2015

Firstpage

146

Lastpage

150

Abstract

Systems based on inertial sensors are increasingly used in motion analysis due to their low cost, portability and wearability. However, since accuracy is crucial in clinical gait analysis, it is important to assess it in new systems. The aim of this study is to compare the performances of a magnetic and inertial sensors system (MIMUs) to a gold standard, the electromechanical system STEP32. Results shows that spatio-temporal parameters are accurately estimated by the MIMUs system. Joint kinematics does not reach the accuracy of the STEP32 system. In fact, although MIMUs measurements on the knee and hip joints are clinically acceptable, they are not yet reliable for the ankle joint.

Keywords

biomedical measurement; body sensor networks; gait analysis; kinematics; magnetic sensors; parameter estimation; spatiotemporal phenomena; MIMU measurements; ankle joint kinematics; clinical gait analysis; electromechanical system STEP32; hip joint kinematics; inertial sensor system; knee joint kinematics; magnetic sensor system; motion analysis; spatiotemporal parameter estimation; wearable sensor system; Accuracy; Hip; Joints; Kinematics; Knee; Magnetic sensors; IMUs; gait analysis; gait parameters; joint kinematics; spatio-temporal parameters;

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on

Conference_Location

Turin

Type

conf

DOI

10.1109/MeMeA.2015.7145189

Filename

7145189