Literature DB >> 17458582

Electro-mechanical stability of surface EMG sensors.

S H Roy1, G De Luca, M S Cheng, A Johansson, L D Gilmore, C J De Luca.   

Abstract

This study compared the performance of surface electromyographic (sEMG) sensors for different detection conditions affecting the electro-mechanical stability between the sensor and its contact with the skin. These comparisons were made to gain a better understanding of how specific characteristics of sensor design and use may alter the ability of sEMG sensors to detect signals with high fidelity under conditions of vigorous activity. The first part of the study investigated the effect of different detection surface contours and adhesive tapes on the ability of the sensor to remain in electrical contact with the skin. The second part of the study investigated the effects of different skin preparations and hydrophilic gels on the production of movement artifact resulting from sinusoidal and impact mechanical perturbations. Both parts of the study evaluated sensor performance under dry skin and wet skin (from perspiration) conditions. We found that contouring the detection surface and adding a more adhesive double-sided tape were effective in increasing the forces needed to disrupt the electrical contact between the electrodes and the skin for both dry skin and wet skin conditions. The mechanical perturbation tests demonstrated that hydrophilic gel applied to the detection surface of the sensor produced greater movement artifacts compared to sensors without gel, particularly when the sensors were tested under conditions in which perspiration was present on the skin. The use of a surfactant skin preparation did not influence the amount of movement artifacts that resulted from either the sinusoidal or impact perturbations. The importance of these findings is discussed in terms of their implications for improving sEMG signal fidelity through sensor design modifications and procedures for interfacing them with the skin.

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Year:  2007        PMID: 17458582     DOI: 10.1007/s11517-007-0168-z

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   3.079


  13 in total

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Journal:  Med Biol Eng Comput       Date:  2002-05       Impact factor: 2.602

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Journal:  Physiol Meas       Date:  1996-05       Impact factor: 2.833

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Authors:  H W Tam; J G Webster
Journal:  IEEE Trans Biomed Eng       Date:  1977-03       Impact factor: 4.538

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Authors:  C Gondran; E Siebert; S Yacoub; E Novakov
Journal:  Med Biol Eng Comput       Date:  1996-11       Impact factor: 2.602

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Journal:  Med Biol Eng Comput       Date:  1979-05       Impact factor: 2.602

Review 8.  Electromyography: some methodological problems and issues.

Authors:  K S Türker
Journal:  Phys Ther       Date:  1993-10

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Authors:  S Odman; P A Oberg
Journal:  Med Biol Eng Comput       Date:  1982-03       Impact factor: 2.602

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Authors:  S Aronson; L A Geddes
Journal:  IEEE Trans Biomed Eng       Date:  1985-11       Impact factor: 4.538

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  13 in total

1.  Development of sEMG sensors and algorithms for silent speech recognition.

Authors:  Geoffrey S Meltzner; James T Heaton; Yunbin Deng; Gianluca De Luca; Serge H Roy; Joshua C Kline
Journal:  J Neural Eng       Date:  2018-06-01       Impact factor: 5.379

2.  Decomposition of surface EMG signals from cyclic dynamic contractions.

Authors:  Carlo J De Luca; Shey-Sheen Chang; Serge H Roy; Joshua C Kline; S Hamid Nawab
Journal:  J Neurophysiol       Date:  2014-12-24       Impact factor: 2.714

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Authors:  Sanne Lotte Journée; Henricus Louis Journée; Stephen Michael Reed; Hanneke Irene Berends; Cornelis Marinus de Bruijn; Cathérine John Ghislaine Delesalle
Journal:  Front Neurosci       Date:  2020-07-17       Impact factor: 4.677

4.  Electromyography and Mechanomyography Signals During Swallowing in Healthy Adults and Head and Neck Cancer Survivors.

Authors:  Gabriela Constantinescu; William Hodgetts; Dylan Scott; Kristina Kuffel; Ben King; Chris Brodt; Jana Rieger
Journal:  Dysphagia       Date:  2016-08-26       Impact factor: 3.438

5.  Error reduction in EMG signal decomposition.

Authors:  Joshua C Kline; Carlo J De Luca
Journal:  J Neurophysiol       Date:  2014-09-10       Impact factor: 2.714

6.  Prediction of Optimal Facial Electromyographic Sensor Configurations for Human-Machine Interface Control.

Authors:  Jennifer M Vojtech; Gabriel J Cler; Cara E Stepp
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-06-20       Impact factor: 3.802

7.  Surface Electromyography-Based Recognition, Synthesis, and Perception of Prosodic Subvocal Speech.

Authors:  Jennifer M Vojtech; Michael D Chan; Bhawna Shiwani; Serge H Roy; James T Heaton; Geoffrey S Meltzner; Paola Contessa; Gianluca De Luca; Rupal Patel; Joshua C Kline
Journal:  J Speech Lang Hear Res       Date:  2021-05-12       Impact factor: 2.297

8.  sEMG Sensor Using Polypyrrole-Coated Nonwoven Fabric Sheet for Practical Control of Prosthetic Hand.

Authors:  Yinlai Jiang; Masami Togane; Baoliang Lu; Hiroshi Yokoi
Journal:  Front Neurosci       Date:  2017-02-06       Impact factor: 4.677

9.  Development of an sEMG sensor composed of two-layered conductive silicone with different carbon concentrations.

Authors:  Shunta Togo; Yuta Murai; Yinlai Jiang; Hiroshi Yokoi
Journal:  Sci Rep       Date:  2019-09-30       Impact factor: 4.379

10.  Fabrication of Micro-Needle Electrodes for Bio-Signal Recording by a Magnetization-Induced Self-Assembly Method.

Authors:  Keyun Chen; Lei Ren; Zhipeng Chen; Chengfeng Pan; Wei Zhou; Lelun Jiang
Journal:  Sensors (Basel)       Date:  2016-09-20       Impact factor: 3.576

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