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 …
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 …
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 …
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 …
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 …
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 …
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 …
research. However, doubts remain on its real effectiveness as a clinical tool, ie on its …
Computational design and optimization of electro-physiological sensors
Electro-physiological sensing devices are becoming increasingly common in diverse
applications. However, designing such sensors in compact form factors and for high-quality …
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 …
(EMG) signal into its constituent motor unit action potentials (MUAPs) have been reported …
Development of sEMG sensors and algorithms for silent speech recognition
Objective. Speech is among the most natural forms of human communication, thereby
offering an attractive modality for human–machine interaction through automatic speech …
offering an attractive modality for human–machine interaction through automatic speech …