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Recently there has been an increase in the number of stroke patients with motor paralysis. Appropriate re-afferent sensory feedback synchronized with a voluntary motor intention would be effective for promoting neural plasticity in the stroke rehabilitation. Therefore, BCI technology is considered to be a promising approach in the neuro-rehabilitation. To estimate human motor intention, an event-related desynchronization (ERD), a feature of electroencephalogram (EEG) evoked by motor execution or motor imagery is usually used. However, there exists various factors that affect ERD production, and its neural mechanism is still an open question. As a preliminary stage, we evaluate mutual effects of intrinsic (voluntary motor imagery) and extrinsic (visual and somatosensory stimuli) factors on the ERD production. Experimental results indicate that these three factors are not always additively interacting with each other and affecting the ERD production.
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http://dx.doi.org/10.1109/EMBC.2012.6346996 | DOI Listing |
Trends Hear
September 2025
Department of Psychology, University of Toronto, Toronto, Ontario, Canada.
Understanding speech in noise is a common challenge for older adults, often requiring increased listening effort that can deplete cognitive resources and impair higher-order functions. Hearing aids are the gold standard intervention for hearing loss, but cost and accessibility barriers have driven interest in alternatives such as Personal Sound Amplification Products (PSAPs). While PSAPs are not medical devices, they may help reduce listening effort in certain contexts, though supporting evidence remains limited.
View Article and Find Full Text PDFToxics
August 2025
State Key Laboratory of Chemical Safety, Qingdao 266061, China.
Carbon tetrachloride (CT) is a toxic volatile chlorinated hydrocarbon, posing a serious hazard to ecosystem and human health. This study discussed the bioremediation possibility of groundwater contaminated by CT. Enhanced reductive dechlorination bioremediation (ERD) was used to promote the reductive dechlorination process of CT by adding yeast extract as a supplementary electron donor.
View Article and Find Full Text PDFComput Biol Med
August 2025
Department of Computer Science, Chungbuk National University, Cheongju, Republic of Korea. Electronic address:
Electroencephalography (EEG) is a noninvasive neuroimaging technique that records electrical activity in the brain using electrodes placed on the scalp. It is widely used in neuroscience, clinical diagnosis, and brain-computer interface (BCI) applications to analyze brain signals in real time. This study proposes an advanced EEG-based BCI framework designed to decode and classify individual finger movements within a single hand during a finger-tapping task involving all five fingers.
View Article and Find Full Text PDFFront Hum Neurosci
July 2025
School of Smart Health, Chongqing Polytechnic University of Electronic Technology, Chongqing, China.
Background: Neuromuscular electrical stimulation (NMES) is an effective tool to improve motor activation of patients with motor dysfunction. However, to enhance the cortical activities induced by NMES, the corresponding strategies should be carefully designed with optimal stimulation parameters. The aim of the present study is to investigate whether the pulse assignment with wide-pulse-based Variable Frequency Trains improves sensorimotor cortical excitability.
View Article and Find Full Text PDFIEEE Trans Neural Syst Rehabil Eng
August 2025
Neurofeedback training (NFT) has been widely used in motor rehabilitation. However, NFT combined with motor imagery-based brain-computer interface (MI-BCI) faces challenges such as mental fatigue and non-personalized training strategies. Therefore, we proposed an adaptive NFT based on a VR game that simulates real-life motor tasks to improve training efficiency.
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