Literature DB >> 15811606

Prediction of handgrip forces using surface EMG of forearm muscles.

Marco J M Hoozemans1, Jaap H van Dieën.   

Abstract

Evaluation of handgrip forces constitutes an essential component of ergonomic evaluation (e.g. of hand tools), but is difficult to perform at the workplace. The present study describes a series of experiments on 8 healthy male subjects to determine the validity of linear regression models using the surface electromyography (EMG) of up to 6 forearm muscles to predict handgrip forces. For isometric gripping tasks, normalized EMG to grip force calibrations using a series of dynamic force bursts up to 300 N resulted in a valid prediction of grip forces based on the EMG of 6 forearm muscles. Absolute differences between observed and predicted grip force were small (between 27 and 41 N) which shows that the proposed method might be used for the ergonomic evaluation of the use of hand tools. The EMG - handgrip force model appeared to be minimally affected by grip width, i.e. a model for 67 mm grip width was able to validly predict grip forces for 59 and 75 mm grip widths. Furthermore, it was shown that of the 6 forearm muscles studied at least 3 have to be assessed to arrive at a sufficient level of validity, while it seems to be irrelevant which 3 of those 6 forearm muscles are assessed.

Mesh:

Year:  2004        PMID: 15811606     DOI: 10.1016/j.jelekin.2004.09.001

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


  24 in total

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Journal:  Eur J Appl Physiol       Date:  2021-03-01       Impact factor: 3.078

2.  Hand dominance during constant force isometric contractions: evidence of different cortical drive commands.

Authors:  Rafael Pereira; Ivna Vidal Freire; Cláudia Virgínia Galindo Cavalcanti; Carla Patrícia Novais Luz; Osmar Pinto Neto
Journal:  Eur J Appl Physiol       Date:  2011-12-15       Impact factor: 3.078

3.  Hand-Arm Vibration Controls for Jackleg Rock Drills: A Pilot Study Assessing Ergonomic Hazards.

Authors:  Ciara Kremer; Daniel Autenrieth; Theresa Stack; Scott Rosenthal; Dave Gilkey
Journal:  Min Metall Explor       Date:  2021

4.  The Activities of the Muscles around the Ankle Joint during Foot-gripping are Affected by the Angle of the Ankle.

Authors:  Masayuki Soma; Shin Murata; Yoshihiro Kai; Hideyuki Nakae; Yosuke Satou
Journal:  J Phys Ther Sci       Date:  2014-01-08

5.  An Electromyographic-driven Musculoskeletal Torque Model using Neuro-Fuzzy System Identification: A Case Study.

Authors:  Zohreh Jafari; Mehdi Edrisi; Hamid Reza Marateb
Journal:  J Med Signals Sens       Date:  2014-10

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Authors:  Boris Cheval; Philippe Sarrazin; Luc Pelletier
Journal:  PLoS One       Date:  2014-12-19       Impact factor: 3.240

7.  Multi-subject/daily-life activity EMG-based control of mechanical hands.

Authors:  Claudio Castellini; Angelo Emanuele Fiorilla; Giulio Sandini
Journal:  J Neuroeng Rehabil       Date:  2009-11-17       Impact factor: 4.262

8.  Effects of Bilateral Transcranial Direct Current Stimulation on Simultaneous Bimanual Handgrip Strength.

Authors:  Mikito Hikosaka; Yu Aramaki
Journal:  Front Hum Neurosci       Date:  2021-06-02       Impact factor: 3.169

9.  Analysis of surface EMG activation in hand percussion playing depending on the grasping type and the tempo.

Authors:  Hyun Ju Chong; Soo Ji Kim; Eun Kyoung Lee; Ga Eul Yoo
Journal:  J Exerc Rehabil       Date:  2015-08-30

10.  Magically deceptive biological motion-the French Drop Sleight.

Authors:  Flip Phillips; Michael B Natter; Eric J L Egan
Journal:  Front Psychol       Date:  2015-04-09
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