Modeling nonlinear errors in surface electromyography due to baseline noise: A new methodology

Journal of Biomechanics ◽

10.1016/j.jbiomech.2010.09.008 ◽

2011 ◽

Vol 44 (1) ◽

pp. 202-205 ◽

Author(s):

Laura Frey Law ◽

Chandramouli Krishnan ◽

Keith Avin

Keyword(s):

Surface Electromyography ◽

Baseline Noise ◽

Nonlinear Errors

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Amplitude and Frequency Analysis of Pelvic Limb Muscle Activity during a Trot in Normal, Healthy Dogs Using Surface Electromyography

10.1055/s-0040-1712885 ◽

2020 ◽

Author(s):

Welsh PJ ◽

Martinez SA ◽

Thompson DJ ◽

Ching JK ◽

Gilbert PJ

Keyword(s):

Frequency Analysis ◽

Muscle Activity ◽

Surface Electromyography ◽

Limb Muscle ◽

Pelvic Limb ◽

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RELATION OF INTEGRATED SURFACE ELECTROMYOGRAPHY AND MUSCLE TENSION

Perceptual and Motor Skills ◽

10.2466/pms.7.7.295-298 ◽

1957 ◽

Vol 7 (7) ◽

pp. 295 ◽

Author(s):

R. C. WILCOTT

Keyword(s):

Surface Electromyography ◽

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RELATIONSHIPS AMONG SURFACE ELECTROMYOGRAPHY MEASUREMENTS AND ATHLETIC PERFORMANCE IN SWIMMERS

Anais do V Congresso Brasileiro de Eletromiografia e Cinesiologia e X Simpósio de Engenharia Biomédica ◽

10.29327/cobecseb.79103 ◽

2018 ◽

Author(s):

T. P. Ribeiro ◽

D. S. Lima-Borges ◽

F. S. S. Barbosa ◽

C. Taciro ◽

P. F. Martinez ◽

...

Keyword(s):

Athletic Performance ◽

Surface Electromyography

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Surface Electromyography Evaluation Method for Dysphagia : A Literature Review

Swallowing Rehabilitation ◽

10.31115/sr.2018.1.2.35 ◽

2018 ◽

Vol 1 (2) ◽

pp. 35-40

Author(s):

Taelim Yoon

Keyword(s):

Literature Review ◽

Surface Electromyography ◽

Evaluation Method

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Risk Factor Assessment Using Surface Electromyography and Electrogoniometer among Automobile Part Manufacturers

Korean Journal of Occupational and Environmental Medicine ◽

10.35371/kjoem.2005.17.4.267 ◽

2005 ◽

Vol 17 (4) ◽

pp. 267

Author(s):

Dongmug Kang ◽

Cheol Ho Yee ◽

Yong Chul Shin ◽

Eun A Kim ◽

Ji Hoon Woo ◽

...

Keyword(s):

Risk Factor ◽

Surface Electromyography ◽

Automobile Part ◽

Risk Factor Assessment

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Left/Right Contributions of Articulatory Muscles in Speech Recognition Using High-Density Surface Electromyography

2019 Intelligent Rehabilitation and Human-machine Engineering Conference (IRHE-2019) ◽

10.1049/cp.2019.1197 ◽

2019 ◽

Author(s):

Xiaochen Wang ◽

Mingxing Zhu ◽

Jiashuo Zhuang ◽

Dan Wang ◽

Shixiong Chen ◽

...

Keyword(s):

Speech Recognition ◽

Surface Electromyography ◽

High Density ◽

Density Surface

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Automated detection of muscle fatigue conditions from cyclostationary based geometric features of surface electromyography signals

Computer Methods in Biomechanics & Biomedical Engineering ◽

10.1080/10255842.2021.1955104 ◽

2021 ◽

pp. 1-13

Author(s):

Divya Bharathi K ◽

Karthick P. A. ◽

Ramakrishnan S.

Keyword(s):

Muscle Fatigue ◽

Surface Electromyography ◽

Automated Detection ◽

Geometric Features ◽

Electromyography Signals

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Prediction of motor Unified Parkinson's Disease Rating Scale scores in patients with Parkinson‘s Disease using surface Electromyography

Clinical Neurophysiology ◽

10.1016/j.clinph.2021.01.031 ◽

2021 ◽

Author(s):

Urs Kleinholdermann ◽

Max Wullstein ◽

David Pedrosa

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Surface Electromyography ◽

Rating Scale ◽

Scale Scores ◽

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Surface-Electromyography-Based Gesture Recognition Using a Multistream Fusion Strategy

IEEE Access ◽

10.1109/access.2021.3059499 ◽

2021 ◽

pp. 1-1

Author(s):

Zhouping Chen ◽

Jianyu Yang ◽

Hualong Xie

Keyword(s):

Gesture Recognition ◽

Surface Electromyography ◽

Fusion Strategy

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Surface Electromyography for Sensing Performance Intention and Musical Imagery in Vocalists

Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction ◽

10.1145/3430524.3440641 ◽

2021 ◽

Author(s):

Courtney N. Reed ◽

Andrew P. McPherson

Keyword(s):

Surface Electromyography ◽

Musical Imagery ◽

Sensing Performance

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