HDL-PSR: Modelling spatio-temporal features using hybrid deep learning approach for post-stroke rehabilitation
Physiotherapy exercises like extension, flexion, and rotation are an absolute necessity for
patients of post stroke rehabilitation (PSR). A physiotherapist uses many techniques to …
patients of post stroke rehabilitation (PSR). A physiotherapist uses many techniques to …
Deep learning for biosignal control: Insights from basic to real-time methods with recommendations
Objective. Biosignal control is an interaction modality that allows users to interact with
electronic devices by decoding the biological signals emanating from the movements or …
electronic devices by decoding the biological signals emanating from the movements or …
Eye Movement Signal Classification for Developing Human‐Computer Interface Using Electrooculogram
M Thilagaraj, B Dwarakanath… - Journal of …, 2021 - Wiley Online Library
Human‐computer interfaces (HCI) allow people to control electronic devices, such as
computers, mouses, wheelchairs, and keyboards, by bypassing the biochannel without …
computers, mouses, wheelchairs, and keyboards, by bypassing the biochannel without …
[HTML][HTML] High performance computation of human computer interface for neurodegenerative individuals using eye movements and deep learning technique
Disabilities due to neurodegenerative disease are rapidly increasing in number. The need
for rehabilitative devices to achieve a normal and comfortable life in the absence of …
for rehabilitative devices to achieve a normal and comfortable life in the absence of …
[HTML][HTML] Cerebral palsy-affected individuals' brain-computer interface for wheelchair movement in an indoor environment using mental tasks
J Ramakrishnan - Egyptian Informatics Journal, 2024 - Elsevier
The technique of measuring brain signals or activities by placing electrodes on the scalp of
human beings is called Electroencephalogram (EEG). Brain-computer interface (BCI) is a …
human beings is called Electroencephalogram (EEG). Brain-computer interface (BCI) is a …
[HTML][HTML] Enhancing Real-Time Cursor Control with Motor Imagery and Deep Neural Networks for Brain–Computer Interfaces
S Akuthota, RC Janapati, KR Kumar, VC Gerogiannis… - Information, 2024 - mdpi.com
This paper advances real-time cursor control for individuals with motor impairments through
a novel brain–computer interface (BCI) system based solely on motor imagery. We introduce …
a novel brain–computer interface (BCI) system based solely on motor imagery. We introduce …
Translated Pattern-based Eye-writing Recognition using Dilated Causal Convolution Network
Recently, eye-writing has been used as a novel language communication method, in which
the paths of eye movement are detected for character recognition. However, instability of the …
the paths of eye movement are detected for character recognition. However, instability of the …
Pilot experiments and hardware design of smart electrooculographic headband for people with muscular paralysis
H Kosnacova, D Horvath, M Stremy, M Sobota… - IEEE …, 2024 - ieeexplore.ieee.org
Millions of individuals worldwide suffer from a motor disability, impeding their ability to
perform daily tasks independently. Modern technologies, such as electrooculography (EOG) …
perform daily tasks independently. Modern technologies, such as electrooculography (EOG) …
[引用][C] Digital Alternative Communication for Individuals with amyotrophic lateral sclerosis: what we have
F Fernandes, I Barbalho, A Bispo Junior, L Alves… - Journal of Clinical …, 2023 - MDPI
Machine learning for analysis of gene expression data in fast-and slow-progressing amyotrophic lateral sclerosis murine models
Amyotrophic lateral sclerosis is a fatal motor neuron disease characterised by degenerative
changes in both upper and lower motor neurons. Current treatment options in the general …
changes in both upper and lower motor neurons. Current treatment options in the general …
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