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

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 a...

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Published in:Medical & Biological Engineering & Computing Vol. 58; no. 3; pp. 461 - 471
Main Authors: Simonetti, Emeline, Villa, Coralie, Bascou, Joseph, Vannozzi, Giuseppe, Bergamini, Elena, Pillet, Hélène
Format: pictorial research tables/charts Journal Article
Published: Springer Nature Mar2020
Online Access:View this record in EBSCOhost
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      dt: Mar2020
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      pub: Springer Nature
      place: New York, New York
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        atl: Gait event detection using inertial measurement units in people with transfemoral amputation: a comparative study.
      aug:
        au:
          Simonetti, Emeline
          Villa, Coralie
          Bascou, Joseph
          Vannozzi, Giuseppe
          Bergamini, Elena
          Pillet, Hélène
        affil: Institution nationale des Invalides (INI)/CERAH, 47 rue de l'Echat, 94000, Créteil, France
      sug:
        subj:
          Amputation
          Femur Surgery
          Gait Physiology
          Algorithms
          Human
          Female
          Middle Age
          Time Factors
          Male
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Middle Aged: 45-64 years
          Female
          Male
      ab: 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. Graphical abstract Gait event detection with IMU in people with transfemoral amputation: initial contact (IC) and final contact (FC) events at the sound (s) and prosthetic (p) side are identified. Five algorithms were implemented using either shank-mounted or pelvis-mounted IMUs. Gait events were used to estimate temporal parameters (stride duration, stance phase duration [SPD], and double support time) and SPD asymmetry.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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