Literature DB >> 21176884

Surface muscle pressure as a measure of active and passive behavior of muscles during gait.

Don A Yungher1, Michael T Wininger, J B Barr, William Craelius, A Joseph Threlkeld.   

Abstract

While surface electromyography (SEMG) can accurately register electrical activity of muscles during gait, there are no methods to estimate muscular force non-invasively. To better understand the mechanical behavior of muscle, we evaluated surface muscle pressure (SMP) in conjunction with SEMG. Changes in anterior thigh radial pressure during isometric contractions and gait were registered by pressure sensors on the limb. During isometric knee extensions by a single subject, SMP waveforms correlated well with SEMG (r=0.97), and SEMG onsets preceded those of SMP by 35-40 ms. SMP and SEMG signals were simultaneously recorded from the quadriceps of 10 healthy subjects during gait at speeds of 0.4, 0.8, 1.1, 1.4 and 2.2m/s. Muscle activity onset and cessation times were objectively determined for both modalities, and results showed high intra-class correlations. SMP waveforms were highly consistent from stride to stride, while SEMG waveforms varied widely. SEMG waveforms were typically brief, while SMP waveforms tended to be biphasic and outlasted the SEMG by approximately 40% of gait cycle at all speeds. These results are consistent with mechanical models of muscle, and demonstrate the use of SMP to estimate the timing of knee extensor muscle stiffness during gait.
Copyright © 2010 IPEM. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 21176884     DOI: 10.1016/j.medengphy.2010.11.012

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  10 in total

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Journal:  Front Neurorobot       Date:  2014-10-27       Impact factor: 2.650

2.  Assessment of a Wearable Force- and Electromyography Device and Comparison of the Related Signals for Myocontrol.

Authors:  Mathilde Connan; Eduardo Ruiz Ramírez; Bernhard Vodermayer; Claudio Castellini
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Journal:  JMIR Rehabil Assist Technol       Date:  2017-05-16

Review 4.  A Review of Force Myography Research and Development.

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Journal:  Sensors (Basel)       Date:  2019-10-20       Impact factor: 3.576

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Authors:  Ratan Das; Sudip Paul; Gajendra Kumar Mourya; Neelesh Kumar; Masaraf Hussain
Journal:  Front Neurosci       Date:  2022-04-15       Impact factor: 5.152

Review 6.  Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography.

Authors:  Claudio Castellini; Panagiotis Artemiadis; Michael Wininger; Arash Ajoudani; Merkur Alimusaj; Antonio Bicchi; Barbara Caputo; William Craelius; Strahinja Dosen; Kevin Englehart; Dario Farina; Arjan Gijsberts; Sasha B Godfrey; Levi Hargrove; Mark Ison; Todd Kuiken; Marko Marković; Patrick M Pilarski; Rüdiger Rupp; Erik Scheme
Journal:  Front Neurorobot       Date:  2014-08-15       Impact factor: 2.650

7.  Optical Myography: Detecting Finger Movements by Looking at the Forearm.

Authors:  Christian Nissler; Nikoleta Mouriki; Claudio Castellini
Journal:  Front Neurorobot       Date:  2016-04-11       Impact factor: 2.650

8.  A preliminary investigation on the utility of temporal features of Force Myography in the two-class problem of grasp vs. no-grasp in the presence of upper-extremity movements.

Authors:  Gautam P Sadarangani; Carlo Menon
Journal:  Biomed Eng Online       Date:  2017-05-16       Impact factor: 2.819

9.  Wrist-worn wearables based on force myography: on the significance of user anthropometry.

Authors:  Mona Lisa Delva; Kim Lajoie; Mahta Khoshnam; Carlo Menon
Journal:  Biomed Eng Online       Date:  2020-06-12       Impact factor: 2.819

10.  Wearable Sensor for Forearm Motion Detection Using a Carbon-Based Conductive Layer-Polymer Composite Film.

Authors:  Kiwon Park
Journal:  Sensors (Basel)       Date:  2022-03-14       Impact factor: 3.576

  10 in total

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