HDL-PSR: Modelling spatio-temporal features using hybrid deep learning approach for post-stroke rehabilitation

V Bijalwan, VB Semwal, G Singh, TK Mandal - Neural processing letters, 2023 - Springer
Physiotherapy exercises like extension, flexion, and rotation are an absolute necessity for
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

A Dillen, D Steckelmacher, K Efthymiadis… - Journal of Neural …, 2022 - iopscience.iop.org
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 …

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 …

[HTML][HTML] High performance computation of human computer interface for neurodegenerative individuals using eye movements and deep learning technique

J Ramakrishnan, R Doss, T Palaniswamy… - The Journal of …, 2022 - Springer
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 …

[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 …

[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 …

Translated Pattern-based Eye-writing Recognition using Dilated Causal Convolution Network

ZA Bature, SB Abdullahi, W Chiracharit… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

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) …

[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

E Iadanza, R Fabbri, F Goretti, G Nardo… - Biocybernetics and …, 2022 - Elsevier
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 …
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