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Gait event detection using inertial measurement units in people with transfemoral amputation: a comparative study

Article dans une revue avec comité de lecture
Author
SIMONETTI, Emeline
564850 Institution Nationale des Invalides - Centre d’Etudes et de Recherche sur l’Appareillage des Handicapés [INI/CERAH]
452003 Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System [IUC-Bohnes]
VILLA, Coralie
564850 Institution Nationale des Invalides - Centre d’Etudes et de Recherche sur l’Appareillage des Handicapés [INI/CERAH]
BASCOU, Joseph
564850 Institution Nationale des Invalides - Centre d’Etudes et de Recherche sur l’Appareillage des Handicapés [INI/CERAH]
VANNOZZI, Giuseppe
452003 Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System [IUC-Bohnes]
BERGAMINI, Elena
452003 Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System [IUC-Bohnes]
ccPILLET, Helene
1001017 Institut de Biomécanique Humaine Georges Charpak [IBHGC]

URI
http://hdl.handle.net/10985/20321
DOI
10.1007/s11517-019-02098-4
Date
2019
Journal
Medical & Biological Engineering & Computing

Abstract

In recent years, inertial measurement units (IMUs) have been proposed as an alternative to force platforms and pressure sensors for gait events (i.e., initial and final contacts) detection. While multiple algorithms have been developed, the impact of gait event timing errors on temporal parameters and asymmetry has never been investigated in people with transfemoral amputation walking freely on level ground. In this study, five algorithms were comparatively assessed on gait data of seven people with transfemoral amputation, equipped with three IMUs mounted at the pelvis and both shanks, using pressure insoles for reference. Algorithms’ performance was first quantified in terms of gait event detection rate (sensitivity, positive predictive value). Only two algorithms, based on shank mounted IMUs, achieved an acceptable detection rate (positive predictive value > 99%). For these two, accuracy of gait events timings, temporal parameters, and absolute symmetry index of stance-phase duration (SPD-ASI) were assessed. Whereas both algorithms achieved high accuracy for stride duration estimates (median errors: 0%, interquartile ranges < 1.75%), lower accuracy was found for other temporal parameters due to relatively high errors in the detection of final contact events. Furthermore, SPD-ASI derived from IMU-based algorithms proved to be significantly different to that obtained from insoles data. [Figure not available: see fulltext.].

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