Results 101 to 110 of about 19,737 (228)

SemG-TS: Abstractive Arabic Text Summarization Using Semantic Graph Embedding

open access: yes, 2022
This study proposes a novel semantic graph embedding-based abstractive text summarization technique for the Arabic language, namely SemG-TS. SemG-TS employs a deep neural network to produce the abstractive summary.
Wael Etaiwi, Arafat Awajan
core   +1 more source

THE BARRIERS AND FACILITATORS FOR WIDESPREAD USING SURFACE ELECTROMYOGRAPHY IN CLINICAL PRACTICE: A CROSS-SECTIONAL STUDY IN TURKIYE

open access: yesTürk Fizyoterapi ve Rehabilitasyon Dergisi
Purpose: Surface electromyography (sEMG) is a non-invasive tool for understanding the mechanisms of neuromuscular systems, which provides very useful and important quantitative electrophysiological information as part of evidence-based practice. The sEMG
Veysel ALCAN   +5 more
doaj   +1 more source

An Experimental Model on the Activity of Forearm Muscles Using Surface Electromyography

open access: yesJournal of Biomechanical Science and Engineering, 2009
Surface electromyography (sEMG) is commonly used to measure muscle activity because of easy application. Advantages of sEMG measurements include noninvasiveness and no pain.
Yasuhiro NAKAJIMA   +2 more
doaj   +1 more source

An user-independent gesture recognition method based on sEMG decomposition

open access: yes, 2015
sEMG recognition has been used extensively in prosthetic device control, human-assisting manipulators and sign language recognition, etc. However, the sEMG recognition model, trained with one subject's sEMG data, is not applicable to the other ...
Zhao XG(赵新刚)   +4 more
core  

sEMG Based Human Motion Intention Recognition

open access: yes, 2019
Human motion intention recognition is a key to achieve perfect human-machine coordination and wearing comfort of wearable robots. Surface electromyography (sEMG), as a bioelectrical signal, generates prior to the corresponding motion and reflects the ...
Geng Liu   +4 more
core   +1 more source

Preprocessed sEMG images

open access: yes, 2023
The dataset contains the part data in our paper "Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals". Please refer to our released code in Github (https://github.com/Shurun-Wang/ALSF)
Shurun Wang (17341387)
core   +1 more source

Assessment of the effectiveness of acupuncture on facial paralysis based on sEMG decomposition

open access: yes, 2014
Although acupuncture has been extensively and routinely applied in clinic around the world, its use is conventionally based on empirical knowledge rather than scientific evidence.
Zhao XG(赵新刚)   +3 more
core  

Example of a raw sEMG signal of the gastrocnemius muscle.

open access: yes, 2022
Example of a raw sEMG signal of the gastrocnemius muscle.
J. M. N. Essers (14227653)   +6 more
core   +1 more source

Continuous Estimation of Human Multi-joint Angles from sEMG Using a State-space Model

open access: yes, 2017
Due to the couplings among joint-relative muscles, it is a challenge to accurately estimate continuous multi-joint movements from multi-channel sEMG signals.
Ding QC(丁其川)   +2 more
core  

Estimating Neural Control from Concentric vs. Eccentric Surface Electromyographic Representations during Fatiguing, Cyclic Submaximal Back Extension Exercises

open access: yesFrontiers in Physiology, 2017
Purpose: To investigate the differences in neural control of back muscles activated during the eccentric vs. the concentric portions of a cyclic, submaximal, fatiguing trunk extension exercise via the analysis of amplitude and time-frequency parameters ...
Gerold R. Ebenbichler   +9 more
doaj   +1 more source

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