Literature DB >> 20034797

Real-time gait event detection for normal subjects from lower trunk accelerations.

Rafael C González1, Antonio M López, Javier Rodriguez-Uría, Diego Alvarez, Juan C Alvarez.   

Abstract

In this paper we report on a novel algorithm for the real-time detection and timing of initial (IC) and final contact (FC) gait events. We process the vertical and antero-posterior accelerations registered at the lower trunk (L3 vertebra). The algorithm is based on a set of heuristic rules extracted from a set of 1719 steps. An independent experiment was conducted to compare the results of our algorithms with those obtained from a Digimax force platform. The results show small deviations from times of occurrence of events recorded from the platform (13+/-35 ms for IC and 9+/-54 ms for FC). Results for the FC timing are especially relevant in this field, as no previous work has addressed its temporal location through the processing of lower trunk accelerations. The delay in the real-time detection of the IC is 117+/-39 ms and 34+/-72 ms for the FC, improving previously reported results for real-time detection of events from lower trunk accelerations. Copyright 2009 Elsevier B.V. All rights reserved.

Mesh:

Year:  2010        PMID: 20034797     DOI: 10.1016/j.gaitpost.2009.11.014

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  40 in total

1.  Extraction of stride events from gait accelerometry during treadmill walking.

Authors:  Ervin Sejdić; Kristin A Lowry; Jennica Bellanca; Subashan Perera; Mark S Redfern; Jennifer S Brach
Journal:  IEEE J Transl Eng Health Med       Date:  2015-12-18       Impact factor: 3.316

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

Authors:  Emeline Simonetti; Coralie Villa; Joseph Bascou; Giuseppe Vannozzi; Elena Bergamini; Hélène Pillet
Journal:  Med Biol Eng Comput       Date:  2019-12-23       Impact factor: 2.602

Review 3.  Gait metrics analysis utilizing single-point inertial measurement units: a systematic review.

Authors:  Ralph Jasper Mobbs; Jordan Perring; Suresh Mahendra Raj; Monish Maharaj; Nicole Kah Mun Yoong; Luke Wicent Sy; Rannulu Dineth Fonseka; Pragadesh Natarajan; Wen Jie Choy
Journal:  Mhealth       Date:  2022-01-20

4.  Validity and repeatability of inertial measurement units for measuring gait parameters.

Authors:  Edward P Washabaugh; Tarun Kalyanaraman; Peter G Adamczyk; Edward S Claflin; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2017-04-12       Impact factor: 2.840

5.  Assessing function in patients undergoing joint replacement: a study protocol for a cohort study.

Authors:  Vikki Wylde; Ashley W Blom; Stijn Bolink; Luke Brunton; Paul Dieppe; Rachael Gooberman-Hill; Bernd Grimm; Cindy Mann; Erik Lenguerrand
Journal:  BMC Musculoskelet Disord       Date:  2012-11-13       Impact factor: 2.362

6.  Gait detection in children with and without hemiplegia using single-axis wearable gyroscopes.

Authors:  Nicole Abaid; Paolo Cappa; Eduardo Palermo; Maurizio Petrarca; Maurizio Porfiri
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

7.  Gait event detection during stair walking using a rate gyroscope.

Authors:  Paola Catalfamo Formento; Ruben Acevedo; Salim Ghoussayni; David Ewins
Journal:  Sensors (Basel)       Date:  2014-03-19       Impact factor: 3.576

8.  Estimation of step-by-step spatio-temporal parameters of normal and impaired gait using shank-mounted magneto-inertial sensors: application to elderly, hemiparetic, parkinsonian and choreic gait.

Authors:  Diana Trojaniello; Andrea Cereatti; Elisa Pelosin; Laura Avanzino; Anat Mirelman; Jeffrey M Hausdorff; Ugo Della Croce
Journal:  J Neuroeng Rehabil       Date:  2014-11-11       Impact factor: 4.262

9.  Pedestrian navigation based on a waist-worn inertial sensor.

Authors:  Juan Carlos Alvarez; Diego Alvarez; Antonio López; Rafael C González
Journal:  Sensors (Basel)       Date:  2012-08-03       Impact factor: 3.576

10.  Online phase detection using wearable sensors for walking with a robotic prosthesis.

Authors:  Maja Goršič; Roman Kamnik; Luka Ambrožič; Nicola Vitiello; Dirk Lefeber; Guido Pasquini; Marko Munih
Journal:  Sensors (Basel)       Date:  2014-02-11       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.