Results 141 to 150 of about 37,992 (290)

Surface Electromyography–Based Objective Assessment of Adult ADHD: A Pilot Study [PDF]

Jie Luo, Qingyi Zheng, Yuanzhen Wu, Wei Chen, Yiyue Zhang, Yi Zheng, Lihui Feng, Jihua Lu, Fan He   +8 more
openalex   +1 more source

Are Reusable Dry Electrodes an Alternative to Gelled Electrodes for Canine Surface Electromyography? [PDF]

Animals (Basel)
Ribeiro AM, Brás I, Caldeira L, Caldeira J, Peham C, Plácido da Silva H, Requicha JF.   +6 more
europepmc   +1 more source

Which Patients With Dysfunctional Voiding Respond Well to Sacral Neuromodulation? ICI‐RS 2025

Neurourology and Urodynamics, EarlyView.
ABSTRACT Aims Dysfunctional voiding (DV) is characterised by fluctuating or intermittent urinary flow during voiding in neurologically normal individuals. Given the different definitions used and heterogeneous pathophysiologies, outcomes following sacral neuromodulation/sacral nerve stimulation (SNM/SNS) are variably reported.
Jalesh N. Panicker, Chris Harding, Hashim Hashim, Claire Hentzen, Nikita Bhatt, Arjun Nambiar, Brigitte Schurch, Mathijs de Rijk, Stefania Musco   +8 more
wiley   +1 more source

Muscle Fatigue Assessment in Healthcare Application by Using Surface Electromyography: A Transfer Learning Approach. [PDF]

Sensors (Basel)
Manni A, Rescio G, Caroppo A, Leone A.
europepmc   +1 more source

Multi‐Channel Neural Interface for Neural Recording and Neuromodulation

Small Methods, EarlyView.
This review highlights recent advances in multi‐channel neural interface technologies, covering both high‐resolution electrophysiological recording systems and multifunctional platforms with integrated capabilities. It also discusses innovations in structure and materials for reduced invasiveness, state‐of‐the‐art data analysis, including machine ...
Eunmin Kim, Won Gi Chung, Enji Kim, Myoungjae Oh, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jang‐Ung Park   +9 more
wiley   +1 more source

Normative surface electromyography values for the orbicularis oculi muscle in healthy control subjects. [PDF]

Sci Rep
Krajewska-Węglewicz L, Dorobek M.
europepmc   +1 more source

Real-Time Continuous Assessment of Fatigue from Surface Electromyography with Deep Learning for Training Load Regulation in Elite Cyclists [PDF]

Rui Zhai, Guoqiang Ma, Jun Qiu, Mingxin Gong, Wenxin Niu, Lejun Wang   +5 more
openalex   +1 more source

Conductive Hydrogel‐Enabled Electrode for Scalp Electroencephalography Monitoring

Small Methods, EarlyView.
Conductive hydrogels are emerging as effective EEG electrode‐scalp interfaces to overcome hair barriers. This review presents the demanding parameters for hair‐compatible hydrogel electrodes and summarizes their applications in healthcare and brain‐computer interfaces.
Zichong Ji, Leqi Li, Meiqiong Zheng, Xinyuan Ye, Wenqing Yan, Zonglei Wang, Yi Liu, Yuli Wang, Yujie Zhang, Pengcheng Zhou, Jiawei Yang, Mingzhe Wang, Shihong Lin, Hossam Haick, Yan Wang   +14 more
wiley   +1 more source

Automated Neuromuscular Assessment: Machine-Learning-Based Facial Palsy Classification Using Surface Electromyography. [PDF]

Sensors (Basel)
Manzoor I, Popescu A, Ricchizzi S, Spolaore A, Gorbachuk M, Tatagiba M, Naros G, Machetanz K.   +7 more
europepmc   +1 more source

Nonlinear Analysis of Surface Electromyography

, 2012
Electromyography (EMG) detects electrically or neurogically activated muscle cells on the basis of waveform characteristics from a recorded signal. EMG is useful for evaluating and recording movement abnormalities. The EMG signals can also detect neuromuscular activation level and recruitment order in addition to analyze the biomechanics of human or ...
openaire   +3 more sources