Literature DB >> 27848176

Variability Analysis of Therapeutic Movements using Wearable Inertial Sensors.

Irvin Hussein López-Nava1, Bert Arnrich2, Angélica Muñoz-Meléndez3, Arzu Güneysu2.   

Abstract

A variability analysis of upper limb therapeutic movements using wearable inertial sensors is presented. Five healthy young adults were asked to perform a set of movements using two sensors placed on the upper arm and forearm. Reference data were obtained from three therapists. The goal of the study is to determine an intra and inter-group difference between a number of given movements performed by young people with respect to the movements of therapists. This effort is directed toward studying other groups characterized by motion impairments, and it is relevant to obtain a quantified measure of the quality of movement of a patient to follow his/her recovery. The sensor signals were processed by applying two approaches, time-domain features and similarity distance between each pair of signals. The data analysis was divided into classification and variability using features and distances calculated previously. The classification analysis was made to determine if the movements performed by the test subjects of both groups are distinguishable among them. The variability analysis was conducted to measure the similarity of the movements. According to the results, the flexion/extension movement had a high intra-group variability. In addition, meaningful information were provided in terms of change of velocity and rotational motions for each individual.

Entities:  

Keywords:  Acceleration signals; Inertial sensors; Quaternions; Therapeutic movements; Wearable sensors

Mesh:

Year:  2016        PMID: 27848176     DOI: 10.1007/s10916-016-0645-8

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  15 in total

1.  Three-dimensional kinematics of the upper limb during a Reach and Grasp Cycle for children.

Authors:  Erin E Butler; Amy L Ladd; Stephanie A Louie; Lauren E Lamont; Wendy Wong; Jessica Rose
Journal:  Gait Posture       Date:  2010-04-07       Impact factor: 2.840

2.  Motor function assessment using wearable inertial sensors.

Authors:  Avinash Parnandi; Eric Wade; Maja Mataric
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

Review 3.  The relevance of clinical balance assessment tools to differentiate balance deficits.

Authors:  M Mancini; F B Horak
Journal:  Eur J Phys Rehabil Med       Date:  2010-06       Impact factor: 2.874

4.  Ambulatory monitoring of arm movement using accelerometry: an objective measure of upper-extremity rehabilitation in persons with chronic stroke.

Authors:  Gitendra Uswatte; Wai Leong Foo; Harry Olmstead; Kristine Lopez; Ashleigh Holand; Leslie Box Simms
Journal:  Arch Phys Med Rehabil       Date:  2005-07       Impact factor: 3.966

5.  Upper limb kinematics: development and reliability of a clinical protocol for children.

Authors:  Ellen Jaspers; Hilde Feys; Herman Bruyninckx; Jaap Harlaar; Guy Molenaers; Kaat Desloovere
Journal:  Gait Posture       Date:  2010-12-31       Impact factor: 2.840

6.  The responsiveness and correlation between Fugl-Meyer Assessment, Motor Status Scale, and the Action Research Arm Test in chronic stroke with upper-extremity rehabilitation robotic training.

Authors:  Xi-Jun Wei; Kai-Yu Tong; Xiao-Ling Hu
Journal:  Int J Rehabil Res       Date:  2011-12       Impact factor: 1.479

7.  Assessment of arm activity using triaxial accelerometry in patients with a stroke.

Authors:  Sanne C van der Pas; Jeanine A Verbunt; Dorien E Breukelaar; Rachma van Woerden; Henk A Seelen
Journal:  Arch Phys Med Rehabil       Date:  2011-09       Impact factor: 3.966

8.  Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke.

Authors:  Peter S Lum; Charles G Burgar; Peggy C Shor; Matra Majmundar; Machiel Van der Loos
Journal:  Arch Phys Med Rehabil       Date:  2002-07       Impact factor: 3.966

Review 9.  Quantitative assessment based on kinematic measures of functional impairments during upper extremity movements: A review.

Authors:  Ana de los Reyes-Guzmán; Iris Dimbwadyo-Terrer; Fernando Trincado-Alonso; Félix Monasterio-Huelin; Diego Torricelli; Angel Gil-Agudo
Journal:  Clin Biomech (Bristol, Avon)       Date:  2014-06-26       Impact factor: 2.063

10.  Monitoring motor capacity changes of children during rehabilitation using body-worn sensors.

Authors:  Christina Strohrmann; Rob Labruyère; Corinna N Gerber; Hubertus J van Hedel; Bert Arnrich; Gerhard Tröster
Journal:  J Neuroeng Rehabil       Date:  2013-07-30       Impact factor: 4.262

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