Literature DB >> 16200754

An EMG-to-force processing approach for determining ankle muscle forces during normal human gait.

R A Bogey1, J Perry, A J Gitter.   

Abstract

Muscle forces move our limbs. These forces must be estimated with indirect techniques, as direct measurements are neither generally possible nor practical. An electromyography (EMG)-to-force processing technique was developed. Ankle joint moments and, by extension, ankle muscle forces were calculated. The ankle moment obtained by inverse dynamics was calculated for ten normal adults during free speed gait. There was close correlation between inverse dynamics ankle moments and moments determined by the EMG-to-force processing approach. Muscle forces were determined. The gait peak Achilles tendon force occurred in late single limb support. Peak force observed (2.9 kN) closely matched values obtained where force transducers were used to obtain in vivo muscle forces (2.6 kN). The EMG-to-force processing model presented here appears to be a practical means to determine in vivo muscle forces.

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Year:  2005        PMID: 16200754     DOI: 10.1109/TNSRE.2005.851768

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  17 in total

1.  Can pennation angles be predicted from EMGs for the primary ankle plantar and dorsiflexors during isometric contractions?

Authors:  Kurt Manal; Dustyn P Roberts; Thomas S Buchanan
Journal:  J Biomech       Date:  2008-06-24       Impact factor: 2.712

2.  Upper limb muscle forces during a simple reach-to-grasp movement: a comparative study.

Authors:  N Louis; P Gorce
Journal:  Med Biol Eng Comput       Date:  2009-09-26       Impact factor: 2.602

3.  Symmetry of corticomotor input to plantarflexors influences the propulsive strategy used to increase walking speed post-stroke.

Authors:  Jacqueline A Palmer; HaoYuan Hsiao; Louis N Awad; Stuart A Binder-Macleod
Journal:  Clin Neurophysiol       Date:  2015-12-12       Impact factor: 3.708

4.  Selective stimulation of the human femoral nerve with a flat interface nerve electrode.

Authors:  M A Schiefer; K H Polasek; R J Triolo; G C J Pinault; D J Tyler
Journal:  J Neural Eng       Date:  2010-03-08       Impact factor: 5.379

Review 5.  Ankle and foot power in gait analysis: Implications for science, technology and clinical assessment.

Authors:  Karl E Zelik; Eric C Honert
Journal:  J Biomech       Date:  2018-04-18       Impact factor: 2.712

6.  Intraoperative demonstration of selective stimulation of the common human femoral nerve with a FINE.

Authors:  Matthew A Schiefer; Katharine H Polasek; Ronald J Triolo; Gilles C Pinault; Dustin J Tyler
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

7.  An EMG-driven model to estimate muscle forces and joint moments in stroke patients.

Authors:  Qi Shao; Daniel N Bassett; Kurt Manal; Thomas S Buchanan
Journal:  Comput Biol Med       Date:  2009-10-08       Impact factor: 4.589

8.  Selective activation of the human tibial and common peroneal nerves with a flat interface nerve electrode.

Authors:  M A Schiefer; M Freeberg; G J C Pinault; J Anderson; H Hoyen; D J Tyler; R J Triolo
Journal:  J Neural Eng       Date:  2013-08-05       Impact factor: 5.379

Review 9.  Gait analysis using wearable sensors.

Authors:  Weijun Tao; Tao Liu; Rencheng Zheng; Hutian Feng
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

10.  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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