Results 81 to 90 of about 17,689 (224)

Editorial: EMG Signal Acquisition, Processing, and Analysis—Bridging the Gap Between Research and Daily Practice

Sensors
The field of surface electromyography (sEMG) has undergone a profound transformation over recent decades, evolving from a specialized laboratory tool to a versatile instrument widely utilized in rehabilitation, sports science, and occupational health [...
Luca Miceli
doaj   +1 more source

Predicting 3D lip shapes using facial surface EMG. [PDF]

PLoS ONE, 2017
The aim of this study is to prove that facial surface electromyography (sEMG) conveys sufficient information to predict 3D lip shapes. High sEMG predictive accuracy implies we could train a neural control model for activation of biomechanical models by ...
Merijn Eskes, Maarten J A van Alphen, Alfons J M Balm, Ludi E Smeele, Dieta Brandsma, Ferdinand van der Heijden   +5 more
doaj   +1 more source

Quantitative hierarchical representation and comparison of hand grasps from electromyography and kinematic data [PDF]

, 2018
Motivation: Modeling human grasping and hand movements is important for robotics, prosthetics and rehabilitation. Several qualitative taxonomies of hand grasps have been proposed in scientific literature.
Atzori, Manfredo, Michieletto, Stefano, Muller, Henning, Pagello, Enrico, Stival, Francesca   +4 more
core  

Wireless sEMG System with a Microneedle-Based High-Density Electrode Array on a Flexible Substrate [PDF]

, 2019
Surface electromyography (sEMG) signals reflect muscle contraction and hence, can provide information regarding a user's movement intention. High-density sEMG systems have been proposed to measure muscle activity in small areas and to estimate ...
CHA, KYOUNG JE, CHUNG, WAN KYUN, GANG, YONG GU, KIM, DONG SUNG, KIM, MINJAE   +4 more
core   +1 more source

Feasibility of High‐Density Surface Electromyography for the Detection of Neuromuscular Disorders in Children

Muscle &Nerve, Volume 73, Issue 5, Page 806-814, May 2026.
ABSTRACT Introduction/Aims Diagnosing neuromuscular disorders in children is challenging. Concentric needle electromyography (CNEMG) is the standard for electrophysiological assessments but has limitations in pediatric populations. High‐density surface electromyography (HDsEMG) provides a noninvasive technique with superior spatial resolution, enabling
Eduardo Martinez‐Valdes, Ignacio Contreras‐Hernandez, Ragul Selvamoorthy, Francesco Negro, Andrew Lawley   +4 more
wiley   +1 more source

Localized Muscle Fatigue Prediction and Detection Using Surface Electromyography: A Review Study

NTU Journal of Engineering and Technology
Detection of muscle fatigue is present in many fields, from the training of athletes and the aid in rehabilitation to the control of prosthetics. It can be considered ongoing research aiming to understand the human body and aid in protecting it. Fatigue
Zainab Mahmood Tariq, Mohammed Sabah Jarjees   +1 more
doaj   +1 more source

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

Advanced Science, Volume 13, Issue 20, 9 April 2026.
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen, Ioannis Ziogas, Shirina Alsaedi, Mouza Alshehhi, Shahd Almheiri, Adil Rehman, Khulood Al Shehhi, Hani Saleh, Ahsan Khandoker, Charalampos Pitsalidis, Antoun Khawaja, Anna‐Maria Pappa   +11 more
wiley   +1 more source

sEMG-Based Control of Prosthesis Hand Using LSTM Classification and SMC

IEEE Access
In this paper, an approach for controlling an prosthesis hand using surface Electromyography (sEMG) signal, artificial neural network (ANN) and sliding mode control (SMC) is presented.
Amanual Tesfaye Takele, Dereje Shiferaw Negash   +1 more
doaj   +1 more source

Myoelectric Origami‐Based Soft Robotic Knee Exoskeleton to Enhance Sit‐to‐Stand Assistance in Elderly Populations

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
This work presents a lightweight Miura‐origami soft knee exoskeleton powered by vacuum actuation and integrated with a multimodal physiological intent‐recognition system, providing real‐time assistance during sit‐to‐stand movement to reduce muscle effort and improve user comfort.
Yuchuan Jia, Xingjian Ye, Xuanyi Zhou, Yong Ling, Daniela Rus, Chen‐Hua Yeow   +5 more
wiley   +1 more source

InRes-ACNet: Gesture Recognition Model of Multi-Scale Attention Mechanisms Based on Surface Electromyography Signals

Applied Sciences
Surface electromyography (sEMG) signals are the sum of action potentials emitted by many motor units; they contain the information of muscle contraction patterns and intensity, so they can be used as a simple and reliable source for grasping mode ...
Xiaoyuan Luo, Wenjing Huang, Ziyi Wang, Yihua Li, Xiaogang Duan   +4 more
doaj   +1 more source