Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Xugang Xi"'
Recognition of regions of stroke injury using multi-modal frequency features of electroencephalogram
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
ObjectiveNowadays, increasingly studies are attempting to analyze strokes in advance. The identification of brain damage areas is essential for stroke rehabilitation.ApproachWe proposed Electroencephalogram (EEG) multi-modal frequency features to cla
Externí odkaz:
https://doaj.org/article/64ad642f6fda4190914630f3b9b061f5
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 10530-10551 (2023)
Changes in the functional connections between the cerebral cortex and muscles can evaluate motor function in stroke rehabilitation. To quantify changes in functional connections between the cerebral cortex and muscles, we combined corticomuscular cou
Externí odkaz:
https://doaj.org/article/d37530ed65d44722865d1460d084a87c
Autor:
Zhuyao Fan, Xugang Xi, Yunyuan Gao, Ting Wang, Feng Fang, Michael Houston, Yingchun Zhang, Lihua Li, Zhong Lu
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2101-2110 (2023)
Motor imagery (MI) electroencephalogram (EEG) signals have an important role in brain-computer interface (BCI) research. However, effectively decoding these signals remains a problem to be solved. Traditional EEG signal decoding algorithms rely on pa
Externí odkaz:
https://doaj.org/article/a5c6c6ad534d4119afcb612760170b50
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionRestless legs syndrome (RLS) is a common sensorimotor disorder characterized by an irrepressible urge to move the legs and frequently accompanied by unpleasant sensations in the legs. The pathophysiological mechanisms underlying RLS remai
Externí odkaz:
https://doaj.org/article/7849c98b5d0f45988350dc4a7eb3244c
Publikováno v:
PLoS ONE, Vol 18, Iss 12, p e0295398 (2023)
Sign language (SL) has strong structural features. Various gestures and the complex trajectories of hand movements bring challenges to sign language recognition (SLR). Based on the inherent correlation between gesture and trajectory of SL action, SLR
Externí odkaz:
https://doaj.org/article/a19da86808a34468b1143677c30e09fd
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 4, Pp 4341-4357 (2021)
Corticomuscular connectivity plays an important role in the neural control of human motion. This study recorded electroencephalography (EEG) and surface electromyography (sEMG) signals from subjects performing specific tasks (walking on level ground
Externí odkaz:
https://doaj.org/article/f4a3bce33922408daa74582e30d75304
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 6, Pp 6945-6962 (2020)
The acquisition of good surface electromyography (sEMG) is an important prerequisite for correct and timely control of prosthetic limb movements. sEMG is nonlinear, nonstationary, and vulnerable against noise and a new sEMG denoising method using ens
Externí odkaz:
https://doaj.org/article/7569643a5ef149269cc4382cefce1c2d
Publikováno v:
Brain Sciences, Vol 12, Iss 12, p 1680 (2022)
Major depressive disorder (MDD) is a common mental illness. This study used electroencephalography (EEG) to explore the effects of music therapy on brain networks in MDD patients and to elucidate changes in functional brain connectivity in subjects b
Externí odkaz:
https://doaj.org/article/3478b7ea3f884316aa55880ae350d0b9
Publikováno v:
Brain Sciences, Vol 12, Iss 8, p 977 (2022)
The use of electroencephalography to recognize human emotions is a key technology for advancing human–computer interactions. This study proposes an improved deep convolutional neural network model for emotion classification using a non-end-to-end t
Externí odkaz:
https://doaj.org/article/0fb7acca93864473bf8c0ea4cb096dc2
Publikováno v:
IEEE Access, Vol 7, Pp 60522-60531 (2019)
In this paper, we propose a regression model to establish a relationship between surface electromyography (sEMG) and knee joint angles. In this model, the correlation dimension of wavelet coefficient (WCCD) and an Elman network are developed for the
Externí odkaz:
https://doaj.org/article/6ca5c2b8e7b84b5eb0e70c98acb17fe2