Surface electromyography for speech and swallowing systems: measurement, analysis, and interpretation

CE Stepp - 2012 - ASHA
Purpose Applying surface electromyography (sEMG) to the study of voice, speech, and
swallowing is becoming increasingly popular. An improved understanding of sEMG and …

Advances in surface EMG: recent progress in detection and processing techniques

R Merletti, M Aventaggiato, A Botter… - Critical Reviews™ in …, 2010 - dl.begellhouse.com
This article is the first section of a review work structured in three parts and concerning a)
advances in surface EMG detection and processing techniques, b) recent progress in …

Bioinspired perspiration‐wicking electronic skins for comfortable and reliable multimodal health monitoring

Y Xu, W Guo, S Zhou, H Yi, G Yang… - Advanced Functional …, 2022 - Wiley Online Library
Electronic skins (e‐skins) have gained tremendous attention in health monitoring and
disease diagnosis. However, the accumulated sweat at the skin/e‐skin interface would …

Filtering the surface EMG signal: Movement artifact and baseline noise contamination

CJ De Luca, LD Gilmore, M Kuznetsov, SH Roy - Journal of biomechanics, 2010 - Elsevier
The surface electromyographic (sEMG) signal that originates in the muscle is inevitably
contaminated by various noise signals or artifacts that originate at the skin-electrode …

An all-nanofibrous Janus textile with directional perspiration for triboelectric nanogenerator and self-powered e-skin sensor

Y Cheng, J Wang, X Lu, C Wang - Nano Energy, 2023 - Elsevier
Due to the increased demand for health monitoring and disease alarm, the self-powered
epidermal electric sensors have attracted extensive attention, such as triboelectric …

Review of sEMG for robot control: Techniques and applications

T Song, Z Yan, S Guo, Y Li, X Li, F Xi - Applied Sciences, 2023 - mdpi.com
Surface electromyography (sEMG) is a promising technology that can capture muscle
activation signals to control robots through novel human–machine interfaces (HMIs). This …

[HTML][HTML] SIAMOC position paper on gait analysis in clinical practice: General requirements, methods and appropriateness. Results of an Italian consensus conference

MG Benedetti, E Beghi, A De Tanti, A Cappozzo… - Gait & posture, 2017 - Elsevier
Gait analysis is recognized as a useful assessment tool in the field of human movement
research. However, doubts remain on its real effectiveness as a clinical tool, ie on its …

Computational design and optimization of electro-physiological sensors

AS Nittala, A Karrenbauer, A Khan, T Kraus… - Nature …, 2021 - nature.com
Electro-physiological sensing devices are becoming increasingly common in diverse
applications. However, designing such sensors in compact form factors and for high-quality …

Decomposition of surface EMG signals from cyclic dynamic contractions

CJ De Luca, SS Chang, SH Roy… - Journal of …, 2015 - journals.physiology.org
Over the past 3 decades, various algorithms used to decompose the electromyographic
(EMG) signal into its constituent motor unit action potentials (MUAPs) have been reported …

Development of sEMG sensors and algorithms for silent speech recognition

GS Meltzner, JT Heaton, Y Deng… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Speech is among the most natural forms of human communication, thereby
offering an attractive modality for human–machine interaction through automatic speech …