Literature DB >> 33371409

Introduction of a sEMG Sensor System for Autonomous Use by Inexperienced Users.

Elisa Romero Avila1, Elmar Junker1, Catherine Disselhorst-Klug1.   

Abstract

Wearable devices play an increasing role in the rehabilitation of patients with movement disorders. Although information about muscular activation is highly interesting, no approach exists that allows reliable collection of this information when the sensor is applied autonomously by the patient. This paper aims to demonstrate the proof-of-principle of an innovative sEMG sensor system, which can be used intuitively by patients while detecting their muscular activation with sufficient accuracy. The sEMG sensor system utilizes a multichannel approach based on 16 sEMG leads arranged circularly around the limb. Its design enables a stable contact between the skin surface and the system's dry electrodes, fulfills the SENIAM recommendations regarding the electrode size and inter-electrode distance and facilitates a high temporal resolution. The proof-of-principle was demonstrated by elbow flexion/extension movements of 10 subjects, proving that it has root mean square values and a signal-to-noise ratio comparable to commercial systems based on pre-gelled electrodes. Furthermore, it can be easily placed and removed by patients with reduced arm function and without detailed knowledge about the exact positioning of the sEMG electrodes. With its features, the demonstration of the sEMG sensor system's proof-of-principle positions it as a wearable device that has the potential to monitor muscular activation in home and community settings.

Entities:  

Keywords:  activities of daily life; dry electrodes; dynamic contractions; monitoring; rehabilitation; sensor system; surface electromyography; usability; wearable device

Mesh:

Year:  2020        PMID: 33371409      PMCID: PMC7767446          DOI: 10.3390/s20247348

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  34 in total

1.  Inter-electrode spacing of surface EMG sensors: reduction of crosstalk contamination during voluntary contractions.

Authors:  Carlo J De Luca; Mikhail Kuznetsov; L Donald Gilmore; Serge H Roy
Journal:  J Biomech       Date:  2011-12-09       Impact factor: 2.712

2.  Consensus for experimental design in electromyography (CEDE) project: Electrode selection matrix.

Authors:  Manuela Besomi; Paul W Hodges; Jaap Van Dieën; Richard G Carson; Edward A Clancy; Catherine Disselhorst-Klug; Aleš Holobar; François Hug; Matthew C Kiernan; Madeleine Lowery; Kevin McGill; Roberto Merletti; Eric Perreault; Karen Søgaard; Kylie Tucker; Thor Besier; Roger Enoka; Deborah Falla; Dario Farina; Simon Gandevia; John C Rothwell; Bill Vicenzino; Tim Wrigley
Journal:  J Electromyogr Kinesiol       Date:  2019-07-19       Impact factor: 2.368

Review 3.  The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges.

Authors:  Dario Farina; Ning Jiang; Hubertus Rehbaum; Aleš Holobar; Bernhard Graimann; Hans Dietl; Oskar C Aszmann
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-02-11       Impact factor: 3.802

4.  The role of biceps brachii and brachioradialis for the control of elbow flexion and extension movements.

Authors:  Sylvie Charlotte Frieda Anneliese von Werder; Catherine Disselhorst-Klug
Journal:  J Electromyogr Kinesiol       Date:  2016-04-02       Impact factor: 2.368

Review 5.  Advances in motion and electromyography based wearable technology for upper extremity function rehabilitation: A review.

Authors:  Amit Sethi; Jordyn Ting; Marcus Allen; William Clark; Douglas Weber
Journal:  J Hand Ther       Date:  2020-04-09       Impact factor: 1.950

6.  Development of an EMG-ACC-Based Upper Limb Rehabilitation Training System.

Authors: 
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-04-29       Impact factor: 3.802

Review 7.  Sensors and Systems for Physical Rehabilitation and Health Monitoring-A Review.

Authors:  Lucas Medeiros Souza do Nascimento; Lucas Vacilotto Bonfati; Melissa La Banca Freitas; José Jair Alves Mendes Junior; Hugo Valadares Siqueira; Sergio Luiz Stevan
Journal:  Sensors (Basel)       Date:  2020-07-22       Impact factor: 3.576

8.  Perspectives of people with spinal cord injury learning to walk using a powered exoskeleton.

Authors:  Patricia J Manns; Caitlin Hurd; Jaynie F Yang
Journal:  J Neuroeng Rehabil       Date:  2019-07-19       Impact factor: 4.262

9.  Dry Epidermal Electrodes Can Provide Long-Term High Fidelity Electromyography for Limited Dynamic Lower Limb Movements.

Authors:  Jinfeng Li; Pulin Wang; Helen J Huang
Journal:  Sensors (Basel)       Date:  2020-08-27       Impact factor: 3.576

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