Literature DB >> 16439237

An upper extremity kinematic model for evaluation of hemiparetic stroke.

Brooke Hingtgen1, John R McGuire, Mei Wang, Gerald F Harris.   

Abstract

Quantification of rehabilitation progress is necessary for accurately assessing clinical treatments. A three-dimension (3D) upper extremity (UE) kinematic model was developed to obtain joint angles of the trunk, shoulder and elbow using a Vicon motion analysis system. Strict evaluation confirmed the system's accuracy and precision. As an example of application, the model was used to evaluate the upper extremity movement of eight hemiparetic stroke patients with spasticity, while completing a set of reaching tasks. Main outcome measures include kinematic variables of movement time, range of motion, peak angular velocity, and percentage of reach where peak velocity occurs. The model computed motion patterns in the affected and unaffected arms. The unaffected arm showed a larger range of motion and higher angular velocity than the affected arm. Frequency analysis (power spectrum) demonstrated lower frequency content for elbow angle and angular velocity in the affected limb when compared to the unaffected limb. The model can accurately quantify UE arm motion, which may aid in the assessment and planning of stroke rehabilitation, and help to shorten recovery time.

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Year:  2006        PMID: 16439237     DOI: 10.1016/j.jbiomech.2005.01.008

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  26 in total

1.  Range of Motion Requirements for Upper-Limb Activities of Daily Living.

Authors:  Deanna H Gates; Lisa Smurr Walters; Jeffrey Cowley; Jason M Wilken; Linda Resnik
Journal:  Am J Occup Ther       Date:  2016 Jan-Feb

2.  Upper extremity dynamics during Lofstrand crutch-assisted gait in children with myelomeningocele.

Authors:  Brooke A Slavens; Jamie Frantz; Peter F Sturm; Gerald F Harris
Journal:  J Spinal Cord Med       Date:  2007       Impact factor: 1.985

3.  Modifying Kinect placement to improve upper limb joint angle measurement accuracy.

Authors:  Na Jin Seo; Mojtaba F Fathi; Pilwon Hur; Vincent Crocher
Journal:  J Hand Ther       Date:  2016-10-18       Impact factor: 1.950

4.  Design and validation of low-cost assistive glove for hand assessment and therapy during activity of daily living-focused robotic stroke therapy.

Authors:  Dominic E Nathan; Michelle J Johnson; John R McGuire
Journal:  J Rehabil Res Dev       Date:  2009

5.  Muscle fatigue does not lead to increased instability of upper extremity repetitive movements.

Authors:  Deanna H Gates; Jonathan B Dingwell
Journal:  J Biomech       Date:  2009-11-26       Impact factor: 2.712

6.  A method for assessing the arm movement performance: probability tube.

Authors:  Miloš Kostić; Mirjana B Popović; Dejan B Popović
Journal:  Med Biol Eng Comput       Date:  2013-08-07       Impact factor: 2.602

7.  Biomechanical model for evaluation of pediatric upper extremity joint dynamics during wheelchair mobility.

Authors:  Alyssa J Schnorenberg; Brooke A Slavens; Mei Wang; Lawrence C Vogel; Peter A Smith; Gerald F Harris
Journal:  J Biomech       Date:  2013-11-20       Impact factor: 2.712

8.  Stroke-related differences in axial body segment coordination during preplanned and reactive changes in walking direction.

Authors:  Kristen L Hollands; Paulette van Vliet; Doerte Zietz; Alan Wing; Christine Wright; Mark A Hollands
Journal:  Exp Brain Res       Date:  2010-01-28       Impact factor: 1.972

9.  Nonlinear smooth orthogonal decomposition of kinematic features of sawing reconstructs muscle fatigue evolution as indicated by electromyography.

Authors:  David B Segala; Deanna H Gates; Jonathan B Dingwell; David Chelidze
Journal:  J Biomech Eng       Date:  2011-03       Impact factor: 1.899

10.  Quantifying the quality of hand movement in stroke patients through three-dimensional curvature.

Authors:  Rieko Osu; Kazuko Ota; Toshiyuki Fujiwara; Yohei Otaka; Mitsuo Kawato; Meigen Liu
Journal:  J Neuroeng Rehabil       Date:  2011-10-31       Impact factor: 4.262

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