Literature DB >> 17991473

Analysis of musculoskeletal loading in an index finger during tapping.

John Z Wu1, Kai-Nan An, Robert G Cutlip, Kristine Krajnak, Daniel Welcome, Ren G Dong.   

Abstract

Since musculoskeletal disorders of the upper extremities are believed to be associated with repetitive excessive muscle force production in the hands, understanding the time-dependent muscle forces during key tapping is essential for exploring the mechanisms of disease initiation and development. In the current study, we have simulated the time-dependent dynamic loading in the muscle/tendons in an index finger during tapping. The index finger model is developed using a commercial software package AnyBody, and it contains seven muscle/tendons that connect the three phalangeal finger sections. Our simulations indicate that the ratios of the maximal forces in flexor digitorum superficialis (FS) and flexor digitorum profundus (FP) tendons to the maximal force at the fingertip are 0.95 and 2.9, respectively, which agree well with recently published experimental data. The time sequence of the finger muscle activation predicted in the current study is consistent with the EMG data in the literature. The proposed model will be useful for bioengineers and ergonomic designers to improve keyboard design minimizing musculoskeletal loadings in the fingers.

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Year:  2007        PMID: 17991473     DOI: 10.1016/j.jbiomech.2007.09.025

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


  11 in total

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6.  Modeling of multiarticular muscles: importance of inclusion of tendon-pulley interactions in the finger.

Authors:  Sang Wook Lee; Derek G Kamper
Journal:  IEEE Trans Biomed Eng       Date:  2009-04-07       Impact factor: 4.538

7.  Anthropometric scaling of musculoskeletal models of the hand captures age-dependent differences in lateral pinch force.

Authors:  Tamara Ordonez Diaz; Jennifer A Nichols
Journal:  J Biomech       Date:  2021-05-14       Impact factor: 2.789

8.  Finger muscle attachments for an OpenSim upper-extremity model.

Authors:  Jong Hwa Lee; Deanna S Asakawa; Jack T Dennerlein; Devin L Jindrich
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

9.  Identification of Object Dynamics Using Hand Worn Motion and Force Sensors.

Authors:  Henk G Kortier; H Martin Schepers; Peter H Veltink
Journal:  Sensors (Basel)       Date:  2016-11-26       Impact factor: 3.576

10.  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

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