Literature DB >> 18778954

Functional workspace for precision manipulation between thumb and fingers in normal hands.

Li-Chieh Kuo1, Haw-Yen Chiu, Cheung-Wen Chang, Hsiu-Yun Hsu, Yun-Nien Sun.   

Abstract

Prehensile functions of hand are based on thumb-finger relationships which are regarded as an essential element in various manipulations of our daily living activities. Although the maximal workspace provides clinicians a way to comprehend the ranges of digital movements, little is known about the "functional workspace" based on thumb-finger relationships. This study defines the functional workspace of the precision thumb-finger grasp as the range of all possible positions in which thumb-tip and each fingertip can simultaneously contact each other. We present a quantitative method for measuring the functional workspace of the human hand. The maximal motion trajectories of thumb-tip and fingertips of twenty subjects were recorded using a video-capture system. The functional workspace of the precision manipulation was calculated via numerical methods based on the maximal workspaces obtained of the thumb-tip and fingertip motions. The ratios of the functional workspace with respect to the maximal workspace of the index, middle, ring and little fingers were calculated as 33.7%, 27.1%, 23.5% and 19.1%, respectively. Although the present approach is still a descriptive work which might require more validations or evidences to justify, the results obtained may become normal standards for practical use in objective handicapped authentications, insurance claims, and rehabilitation programs as well as criteria for ergonomic design considerations in the near future.

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Year:  2008        PMID: 18778954     DOI: 10.1016/j.jelekin.2008.07.008

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  8 in total

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Authors:  Roberto Meattini; Davide Chiaravalli; Gianluca Palli; Claudio Melchiorri
Journal:  Front Robot AI       Date:  2022-06-22

2.  Design and Evaluation of an Actuated Exoskeleton for Examining Motor Control in Stroke Thumb.

Authors:  Furui Wang; Christopher L Jones; Milind Shastri; Kai Qian; Derek G Kamper; Nilanjan Sarkar
Journal:  Adv Robot       Date:  2016-03-07       Impact factor: 1.699

3.  In vivo analysis of trapeziometacarpal joint kinematics during pinch tasks.

Authors:  Li-Chieh Kuo; Chien-Ju Lin; Guan-Po Chen; I-Ming Jou; Chien-Kuo Wang; Irina G Goryacheva; Marat Z Dosaev; Fong-Chin Su
Journal:  Biomed Res Int       Date:  2014-02-10       Impact factor: 3.411

4.  Kinematic Analyses of the Thumb during Simulated Posteroanterior Glide Mobilization.

Authors:  Meng-Tzu Hu; Ar-Tyan Hsu; Fong-Chin Su
Journal:  PLoS One       Date:  2016-09-01       Impact factor: 3.240

5.  A new concept for quantifying the complicated kinematics of the cervical spine and its application in evaluating the impairment of clients with mechanical neck disorders.

Authors:  Chia-Chi Yang; Fong-Chin Su; Lan-Yuen Guo
Journal:  Sensors (Basel)       Date:  2012-12-17       Impact factor: 3.576

6.  Formation of social and household skills in children with hand defects.

Authors:  Nataly Klimon; Alexander Koryukov; Nina Loseva; Elena Starobina
Journal:  J Child Orthop       Date:  2015-08-05       Impact factor: 1.548

7.  Assessing Finger Joint Biomechanics by Applying Equal Force to Flexor Tendons In Vitro Using a Novel Simultaneous Approach.

Authors:  Tai-Hua Yang; Szu-Ching Lu; Wei-Jr Lin; Kristin Zhao; Chunfeng Zhao; Kai-Nan An; I-Ming Jou; Pei-Yuan Lee; Li-Chieh Kuo; Fong-Chin Su
Journal:  PLoS One       Date:  2016-08-11       Impact factor: 3.240

8.  A novel experimental design for the measurement of metacarpal bone loading and deformation and fingertip force.

Authors:  Szu-Ching Lu; Evie E Vereecke; Alexander Synek; Dieter H Pahr; Tracy L Kivell
Journal:  PeerJ       Date:  2018-09-11       Impact factor: 2.984

  8 in total

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