Literature DB >> 15978812

Experimental protocol for the kinematic analysis of the hand: definition and repeatability.

I Carpinella1, P Mazzoleni, M Rabuffetti, R Thorsen, M Ferrarin.   

Abstract

A quantitative and objective method based on the optoelectronic kinematic analysis of hand segments and on the calculation of global and partial parameters, which provide measures of the degree of long finger and thumb extension is proposed for the evaluation of the hand's voluntary range of motion and maximal opening of the fingers and thumb. To test the precision and repeatability of the method, the protocol was applied on 14 healthy subjects (28 hands). The proposed parameters are repeatable and show a precision between 5.5 degrees and 10.4 degrees (mean value: 7.3 degrees), comparable to values obtained with other methods. Advantages of the present approach include simultaneous analysis of all fingers, absence of cumbersome connecting cables and no need for individually customized devices. The method, also applied to the paretic hands of two hemiplegic stroke patients before and after electrical stimulation of the wrist and finger extensor muscles, has shown encouraging results for its clinical feasibility and utility in addition to functional tests.

Entities:  

Mesh:

Year:  2005        PMID: 15978812     DOI: 10.1016/j.gaitpost.2005.05.001

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


  12 in total

1.  Viability of Hand and Wrist Photogoniometry.

Authors:  Clifton G Meals; Rebecca J Saunders; Sameer Desale; Kenneth R Means
Journal:  Hand (N Y)       Date:  2017-04-09

2.  Evaluation of hand motion capture protocol using static computed tomography images: application to an instrumented glove.

Authors:  James H Buffi; Joaquín Luis Sancho Bru; Joseph J Crisco; Wendy M Murray
Journal:  J Biomech Eng       Date:  2014-12       Impact factor: 2.097

3.  A digit alignment device for kinematic analysis of the thumb and index finger.

Authors:  Zhilei Liu Shen; Tracy A Mondello; Raviraj Nataraj; Mathieu F Domalain; Zong-Ming Li
Journal:  Gait Posture       Date:  2012-05-23       Impact factor: 2.840

4.  Identification of three movement phases of the hand during lateral and pulp pinches using video motion capture.

Authors:  Johanna Jahn; William E Janes; Maryam Saheb-Al-Zamani; Caitlin M Burbank; Justin M Brown; Jack R Engsberg
Journal:  Hand (N Y)       Date:  2013-06

5.  Grip type and task goal modify reach-to-grasp performance in post-stroke hemiparesis.

Authors:  Sydney Y Schaefer; Stacey L DeJong; Kendra M Cherry; Catherine E Lang
Journal:  Motor Control       Date:  2012-02-16       Impact factor: 1.422

6.  Multi-finger coordination in healthy subjects and stroke patients: a mathematical modelling approach.

Authors:  Ilaria Carpinella; Johanna Jonsdottir; Maurizio Ferrarin
Journal:  J Neuroeng Rehabil       Date:  2011-04-20       Impact factor: 4.262

7.  Predicting object size from hand kinematics: a temporal perspective.

Authors:  Caterina Ansuini; Andrea Cavallo; Atesh Koul; Marco Jacono; Yuan Yang; Cristina Becchio
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

Review 8.  Ergonomic evaluation of biomechanical hand function.

Authors:  Kyung-Sun Lee; Myung-Chul Jung
Journal:  Saf Health Work       Date:  2014-09-22

9.  Analysis of relative displacement between the HX wearable robotic exoskeleton and the user's hand.

Authors:  Marco Cempini; Alberto Marzegan; Marco Rabuffetti; Mario Cortese; Nicola Vitiello; Maurizio Ferrarin
Journal:  J Neuroeng Rehabil       Date:  2014-10-18       Impact factor: 4.262

10.  Grasping others' movements: Rapid discrimination of object size from observed hand movements.

Authors:  Caterina Ansuini; Andrea Cavallo; Atesh Koul; Alessandro D'Ausilio; Laura Taverna; Cristina Becchio
Journal:  J Exp Psychol Hum Percept Perform       Date:  2016-04-14       Impact factor: 3.332

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