Results 71 to 80 of about 4,504,110 (182)

Future Directions in Surface Electromyography

, 2010
The use of surface electromyography (SEMG) has increased exponentially in the past four decades. SEMG is one of the most widespread measures employed today in psychophysiological assessment and one of three primary biofeedback modalities.
John G. Arena
core   +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

Muscular activity monitoring and surface electromyography (sEMG) with graphene textiles

, 2019
In this study, we report, for the first time, wearable graphene textile electrodes for monitoring of muscular activity and surface electromyography (sEMG) applications. The feasibility of graphene textiles in wearable muscular monitoring was successfully
Yapıcı, Murat Kaya, Öztürk, Özberk
core   +1 more source

A Wireless Surface Electromyography (WSEMG) System [PDF]

, 2006
Surface Electromyography (SEMG) systems are utilized throughout the medical industry to study abnormal electrical activity of the human muscle. Historically, SEMG systems employ surface (skin) mounted sensors that transmit electrical muscle data to a ...
Bell, Aleeta E.
core   +1 more source

Suprahyoid Muscle Activity and Fatigue During Tongue Elevation Compared With the Head Lift Exercise: A Surface EMG Study

Journal of Oral Rehabilitation, Volume 53, Issue 10, Page 1813-1822, October 2026.
Tongue elevation elicited suprahyoid muscle activity comparable to the head lift exercise, despite a greater decline in median frequency over time. Tongue elevation may represent a practical alternative or complementary exercise for suprahyoid muscle training.
Tomoki Nanto, Yuta Nakao, Kazuki Eimoto, Yuki Oshima, Shigeo One, Rumiko Maeda, Shumpei Aizawa, Yuka Suetsugi, Takahiro Ono   +8 more
wiley   +1 more source

Accuracy Of The Surface Electromyography Rms Processing For The Diagnosis Of Myogenous Temporomandibular Disorder

, 2016
Due to the multifactor etiology of temporomandibular disorder (TMD), the precise diagnosis remains a matter of debate and validated diagnostic tools are needed.
dos Santos Berni, Paulo Fernandes; Rodrigues-Bigaton, Almir Vieira; Pires, Delaine, Kelly Cristina; Dibai-Filho   +4 more
core   +1 more source

Facile Fabrication of Low‐Impedance, Highly Conformal Epidermal Electrodes Based on Laser‐Induced Graphene–Silver Nanocomposites

Advanced Science, Volume 13, Issue 51, 14 September 2026.
A facile laser‐induced graphene–silver nanocomposite strategy enables ultrathin epidermal electrodes with low impedance, high conductivity, and excellent mechanical robustness. The porous LIG–Ag conductive network mechanically interlocked with SEBS provides stable, motion‐resistant biopotential monitoring, enabling high‐fidelity ECG, EMG, and EEG ...
Jiuqiang Li, Senhao Zhang, Kai Guo, Donghai Qiu, Juzhong Zhang, Hongbo Yang, Huanyu Cheng   +6 more
wiley   +1 more source

Wireless sensor technology for collecting surface electromyography signals

, 2013
This main purpose of the research was to develop and manufacture a prototype for a new Wireless Surface Electrode for acquiring surface Electromyography (sEMG) signals from the vastus lateralis muscle from the quadriceps of the knee in real-time ...
Zhu, Yuting
core   +1 more source

Multifunctional Transition Metal Dichalcogenide‐Based Electronic Skin for AI‐Enhanced Multimodal Human–Machine Interaction and Robotic Control

Aggregate, Volume 7, Issue 9, September 2026.
The proposed e‐skin incorporates multimodal sensing capabilities, including surface electromyography (sEMG), NO2 sensing, photodetection, and temperature monitoring, allowing for seamless human‐robot interaction. By integrating sEMG‐based gesture recognition with voice commands and an LLM‐assisted task planning module, we developed a robotic control ...
He Zhu, Cong Wang, Shiqi Guo, Jialin Zhu, Mao Chen, Mei Liu, Weihua Ding, Shiqian Shen, Leilei Li, Jiahao Zhong, Yunlong Zhao, Gang Wang, Dong Yang   +12 more
wiley   +1 more source

Keyboard Typing via Surface Electromyography (KT-sEMG)

The KT-sEMG (Keyboard Typing via Surface Electromyography) Dataset is copyright 2021 Nokia. Licensed under the Creative Commons Attribution 4.0 International license.
Crouch, Michael S.
core   +1 more source