Literature DB >> 16376353

Finger joint coordination during tapping.

Po-Ling Kuo1, David L Lee, Devin L Jindrich, Jack T Dennerlein.   

Abstract

We investigated finger joint coordination during tapping by characterizing joint kinematics and torques in terms of muscle activation patterns and energy profiles. Six subjects tapped with their index finger on a computer keyswitch as if they were typing on the middle row of a keyboard. Fingertip force, keyswitch position, kinematics of the metacarpophalangeal (MCP) and the proximal and distal interphalangeal (IP) joints, and intramuscular electromyography of intrinsic and extrinsic finger muscles were measured simultaneously. Finger joint torques were calculated based on a closed-form Newton-Euler inverse dynamic model of the finger. During the keystroke, the MCP joint flexed and the IP joints extended before and throughout the loading phase of the contact period, creating a closing reciprocal motion of the finger joints. As the finger lifted, the MCP joint extended and the interphalangeal (IP) joints flexed, creating an opening reciprocal motion. Intrinsic finger muscle and extrinsic flexor activities both began after the initiation of the downward finger movement. The intrinsic finger muscle activity preceded both the IP joint extension and the onset of extrinsic muscle activity. Only extrinsic extensor activity was present as the finger was lifted. While both potential energy and kinetic energy are present and large enough to overcome the work necessary to press the keyswitch, the motor control strategies utilize the muscle forces and joint torques to ensure a successful keystroke.

Mesh:

Year:  2005        PMID: 16376353     DOI: 10.1016/j.jbiomech.2005.10.028

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


  10 in total

1.  Neural control of motion-to-force transitions with the fingertip.

Authors:  Madhusudhan Venkadesan; Francisco J Valero-Cuevas
Journal:  J Neurosci       Date:  2008-02-06       Impact factor: 6.167

2.  Epoch length to accurately estimate the amplitude of interference EMG is likely the result of unavoidable amplitude cancellation.

Authors:  Kevin G Keenan; Francisco J Valero-Cuevas
Journal:  Biomed Signal Process Control       Date:  2008-04       Impact factor: 3.880

3.  Development of a biomimetic hand exotendon device (BiomHED) for restoration of functional hand movement post-stroke.

Authors:  Sang Wook Lee; Katlin A Landers; Hyung-Soon Park
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-01-13       Impact factor: 3.802

4.  Typing keystroke duration changed after submaximal isometric finger exercises.

Authors:  Che-Hsu Joe Chang; Peter W Johnson; Jeffrey N Katz; Ellen A Eisen; Jack T Dennerlein
Journal:  Eur J Appl Physiol       Date:  2008-10-14       Impact factor: 3.078

5.  The association between rheumatoid arthritis related structural changes in hands and computer keyboard operation.

Authors:  Nancy A Baker; Norman P Gustafson; Joan Rogers
Journal:  J Occup Rehabil       Date:  2010-03

6.  Computer keyboard interaction as an indicator of early Parkinson's disease.

Authors:  L Giancardo; A Sánchez-Ferro; T Arroyo-Gallego; I Butterworth; C S Mendoza; P Montero; M Matarazzo; J A Obeso; M L Gray; R San José Estépar
Journal:  Sci Rep       Date:  2016-10-05       Impact factor: 4.379

7.  Psychomotor impairment detection via finger interactions with a computer keyboard during natural typing.

Authors:  L Giancardo; A Sánchez-Ferro; I Butterworth; C S Mendoza; J M Hooker
Journal:  Sci Rep       Date:  2015-04-16       Impact factor: 4.379

8.  Finger tapping impairments are highly sensitive for evaluating upper motor neuron lesions.

Authors:  Afsaneh Shirani; Braeden D Newton; Darin T Okuda
Journal:  BMC Neurol       Date:  2017-03-21       Impact factor: 2.474

9.  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

10.  Touchscreen typing pattern analysis for remote detection of the depressive tendency.

Authors:  Rafail-Evangelos Mastoras; Dimitrios Iakovakis; Stelios Hadjidimitriou; Vasileios Charisis; Seada Kassie; Taoufik Alsaadi; Ahsan Khandoker; Leontios J Hadjileontiadis
Journal:  Sci Rep       Date:  2019-09-16       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.