[HTML][HTML] Electromyography monitoring systems in rehabilitation: A review of clinical applications, wearable devices and signal acquisition methodologies

M Al-Ayyad, HA Owida, R De Fazio, B Al-Naami… - Electronics, 2023 - mdpi.com
Recently, there has been an evolution toward a science-supported medicine, which uses
replicable results from comprehensive studies to assist clinical decision-making. Reliable …

[HTML][HTML] Biopotential signal monitoring systems in rehabilitation: A review

A Palumbo, P Vizza, B Calabrese, N Ielpo - Sensors, 2021 - mdpi.com
Monitoring physical activity in medical and clinical rehabilitation, in sports environments or
as a wellness indicator is helpful to measure, analyze and evaluate physiological …

[HTML][HTML] Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals

M Montazerin, E Rahimian, F Naderkhani… - Scientific reports, 2023 - nature.com
Designing efficient and labor-saving prosthetic hands requires powerful hand gesture
recognition algorithms that can achieve high accuracy with limited complexity and latency. In …

[HTML][HTML] Exploration of physiological sensors, features, and machine learning models for pain intensity estimation

F Pouromran, S Radhakrishnan, S Kamarthi - Plos one, 2021 - journals.plos.org
In current clinical settings, typically pain is measured by a patient's self-reported information.
This subjective pain assessment results in suboptimal treatment plans, over-prescription of …

[HTML][HTML] Wearable sensors in sports for persons with disability: A systematic review

L Rum, O Sten, E Vendrame, V Belluscio, V Camomilla… - Sensors, 2021 - mdpi.com
The interest and competitiveness in sports for persons with disabilities has increased
significantly in the recent years, creating a demand for technological tools supporting …

[HTML][HTML] Fundamental concepts of bipolar and high-Density surface EMG understanding and teaching for clinical, occupational, and sport applications: Origin …

I Campanini, A Merlo, C Disselhorst-Klug, L Mesin… - Sensors, 2022 - mdpi.com
Surface electromyography (sEMG) has been the subject of thousands of scientific articles,
but many barriers limit its clinical applications. Previous work has indicated that the lack of …

[HTML][HTML] Combined use of EMG and EEG techniques for neuromotor assessment in rehabilitative applications: A systematic review

C Brambilla, I Pirovano, RM Mira, G Rizzo, A Scano… - Sensors, 2021 - mdpi.com
Electroencephalography (EEG) and electromyography (EMG) are widespread and well-
known quantitative techniques used for gathering biological signals at cortical and muscular …

Tutorial. Surface electromyogram (sEMG) amplitude estimation: Best practices

EA Clancy, EL Morin, G Hajian, R Merletti - Journal of Electromyography …, 2023 - Elsevier
This tutorial intends to provide insight, instructions and “best practices” for those who are
novices—including clinicians, engineers and non-engineers—in extracting electromyogram …

[HTML][HTML] Facial EMG sensing for monitoring affect using a wearable device

M Gjoreski, I Kiprijanovska, S Stankoski, I Mavridou… - Scientific reports, 2022 - nature.com
Using a novel wearable surface electromyography (sEMG), we investigated induced
affective states by measuring the activation of facial muscles traditionally associated with …

[HTML][HTML] Muscle synergies for evaluating upper limb in clinical applications: A systematic review

K Zhao, Z Zhang, H Wen, B Liu, J Li, A d'Avella… - Heliyon, 2023 - cell.com
Introduction Muscle synergies have been proposed as a strategy employed by the central
nervous system to control movements. Muscle synergy analysis is a well-established …