Literature DB >> 17271415

Quantification of reaching during stroke rehabilitation using unique upper extremity kinematic model.

B A Hingtgen1, J R McGuire, M Wang, G F Harris.   

Abstract

Quantification of rehabilitation progress is necessary for accurately assessing clinical treatments. A three-dimensional (3D) biomechanical model of the upper extremity was developed for quantification of stroke rehabilitation. The model was designed to accurately track the 3D orientation of the trunk, shoulder, elbow and wrist. This study explains the application of the upper extremity model. Strict validation of the model confirmed the system's accuracy and resolution. The model was applied to eight hemiparetic stroke patients with spasticity, while completing a set of reaching tasks. The model successfully detected statistical differences in elbow range of motion and angular velocity between the nonparetic (unaffected) and paretic (affected) arms. Both simple and complex biomechanical indices for assessment were developed. This model may aid in the assessment and planning of stroke rehabilitation, and help to decrease recovery time.

Entities:  

Year:  2004        PMID: 17271415     DOI: 10.1109/IEMBS.2004.1404359

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Upper limb portable motion analysis system based on inertial technology for neurorehabilitation purposes.

Authors:  Rodrigo Pérez; Úrsula Costa; Marc Torrent; Javier Solana; Eloy Opisso; César Cáceres; Josep M Tormos; Josep Medina; Enrique J Gómez
Journal:  Sensors (Basel)       Date:  2010-12-02       Impact factor: 3.576

2.  The Use of Functional Electrical Stimulation on the Upper Limb and Interscapular Muscles of Patients with Stroke for the Improvement of Reaching Movements: A Feasibility Study.

Authors:  Alicia Cuesta-Gómez; Francisco Molina-Rueda; Maria Carratala-Tejada; Eukene Imatz-Ojanguren; Diego Torricelli; Juan Carlos Miangolarra-Page
Journal:  Front Neurol       Date:  2017-05-10       Impact factor: 4.003

3.  Home-based Computer Assisted Arm Rehabilitation (hCAAR) robotic device for upper limb exercise after stroke: results of a feasibility study in home setting.

Authors:  Manoj Sivan; Justin Gallagher; Sophie Makower; David Keeling; Bipin Bhakta; Rory J O'Connor; Martin Levesley
Journal:  J Neuroeng Rehabil       Date:  2014-12-12       Impact factor: 4.262

  3 in total

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