Literature DB >> 15813409

Automated estimation of initial and terminal contact timing using accelerometers; development and validation in transtibial amputees and controls.

Ruud W Selles1, Margriet A G Formanoy, Johannes B J Bussmann, Peter J Janssens, Henk J Stam.   

Abstract

The aim of this study was to develop and validate an automated accelerometry-based system for estimating initial contact (IC) and terminal contact (TC) timing information from walking patterns of healthy control subjects and transtibial amputees that can be used in daily life with minimal interference of researchers. Subjects were instrumented with two uniaxial accelerometers just below the knee while synchronized ground reaction force (GRF) recordings were used as reference measurements. An automated multiphase algorithm was developed to estimate the time of IC and TC in the acceleration signals of five healthy subjects and two transtibial amputees walking at different walking speeds. The accuracy of the detection algorithm in ten control subjects and eight transtibial amputees indicated mean errors ranging between 0.013 and 0.034 s for the TC and IC timing, with 95 % confidence interval of the individual step errors ranging between -0.062 and 0.115 s. Correlation coefficients between the estimated stance phase duration and GRF data were 0.98 and 0.97 for controls and amputees, respectively. We concluded that IC and TC can be accurately and easily measured using this system in both healthy subjects and transtibial amputees walking at different walking speeds. The system can be used in clinical situations or gait labs as well as during daily life.

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Year:  2005        PMID: 15813409     DOI: 10.1109/TNSRE.2004.843176

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  28 in total

1.  Classifying prosthetic use via accelerometry in persons with transtibial amputations.

Authors:  Morgan T Redfield; John C Cagle; Brian J Hafner; Joan E Sanders
Journal:  J Rehabil Res Dev       Date:  2013

2.  Abnormal muscle activation patterns are associated with chronic gait deficits following traumatic brain injury.

Authors:  Samuel A Acuña; Mitchell E Tyler; Yuri P Danilov; Darryl G Thelen
Journal:  Gait Posture       Date:  2018-04-12       Impact factor: 2.840

3.  Adaptive empirical pattern transformation (ADEPT) with application to walking stride segmentation.

Authors:  Marta Karas; Marcin Stra Czkiewicz; William Fadel; Jaroslaw Harezlak; Ciprian M Crainiceanu; Jacek K Urbanek
Journal:  Biostatistics       Date:  2021-04-10       Impact factor: 5.899

4.  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

5.  Quasi real-time gait event detection using shank-attached gyroscopes.

Authors:  Jung Keun Lee; Edward J Park
Journal:  Med Biol Eng Comput       Date:  2011-01-26       Impact factor: 2.602

6.  Gait symmetry and regularity in transfemoral amputees assessed by trunk accelerations.

Authors:  Andrea Tura; Michele Raggi; Laura Rocchi; Andrea G Cutti; Lorenzo Chiari
Journal:  J Neuroeng Rehabil       Date:  2010-01-19       Impact factor: 4.262

7.  A preliminary test of measurement of joint angles and stride length with wireless inertial sensors for wearable gait evaluation system.

Authors:  Takashi Watanabe; Hiroki Saito; Eri Koike; Kazuki Nitta
Journal:  Comput Intell Neurosci       Date:  2011-09-18

8.  Gait event detection on level ground and incline walking using a rate gyroscope.

Authors:  Paola Catalfamo; Salim Ghoussayni; David Ewins
Journal:  Sensors (Basel)       Date:  2010-06-04       Impact factor: 3.576

9.  Stride segmentation during free walk movements using multi-dimensional subsequence dynamic time warping on inertial sensor data.

Authors:  Jens Barth; Cäcilia Oberndorfer; Cristian Pasluosta; Samuel Schülein; Heiko Gassner; Samuel Reinfelder; Patrick Kugler; Dominik Schuldhaus; Jürgen Winkler; Jochen Klucken; Björn M Eskofier
Journal:  Sensors (Basel)       Date:  2015-03-17       Impact factor: 3.576

10.  On the use of sensor fusion to reduce the impact of rotational and additive noise in human activity recognition.

Authors:  Oresti Banos; Miguel Damas; Hector Pomares; Ignacio Rojas
Journal:  Sensors (Basel)       Date:  2012-06-11       Impact factor: 3.576

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