A Review of EEG-Based Computer-Aided Detection of Brain Disorders Using a Different Strategy

S Shanmugam, M Radhakrishnan - … Interventions for Business …, 2023 - igi-global.com
The human brain plays a significant role in controlling the behavior of the human body with
respect to sensory stimuli, external/internal motor stimuli, and so on. EEG signals are …

Hybrid deep learning and metaheuristic model based stroke diagnosis system using electroencephalogram (EEG)

A Sawan, M Awad, R Qasrawi, M Sowan - Biomedical Signal Processing …, 2024 - Elsevier
Over the last few decades, there has been a significant increase in the average lifespan.
Consequently, the number of elderly people suffering from strokes has also risen. As a …

From data to decisions: AI and functional connectivity for diagnosis, prognosis, and recovery prediction in stroke

A Cacciotti, C Pappalettera, F Miraglia, C Carrarini… - GeroScience, 2024 - Springer
Stroke is a severe medical condition which may lead to permanent disability conditions. The
initial 8 weeks following a stroke are crucial for rehabilitation, as most recovery occurs …

A 1D-CNN prediction model for stroke classification based on EEG signal

T Wang, F Li, X Zhang, L Huang, W Jia - Proceedings of the 8th …, 2022 - dl.acm.org
Stroke is an acute cerebrovascular disease with high mortality and disability. Computer-
aided interventional diagnosis is a necessary measure to improve the efficiency of stroke …

[HTML][HTML] Wavelet Decomposition and Feedforward Neural Network for Classification of Acute Ischemic Stroke based on Electroencephalography

AF Nurfirdausi, RA Apsari, SK Wijaya, P Prajitno… - stroke, 2022 - ijtech.eng.ui.ac.id
Wavelet Decomposition and Feedforward Neural Network for Classification of Acute Ischemic
Stroke based on Electroencephalography title Title Author Issue Keywords Current Issue : Vol …

Brain complexity in stroke recovery after bihemispheric transcranial direct current stimulation in mice

F Miraglia, C Pappalettera, SA Barbati… - Brain …, 2024 - academic.oup.com
Stroke is one of the leading causes of disability worldwide. There are many different
rehabilitation approaches aimed at improving clinical outcomes for stroke survivors. One of …

[HTML][HTML] Determining Diagnostic Utility of EEG for Assessing Stroke Severity using Deep Learning Models

S Singh, D Dawar, E Mehmood, JD Pandian… - Biomedical Engineering …, 2024 - Elsevier
Stroke has become a leading cause of disability worldwide. Early medication and
rehabilitation is the key to help post-stroke survivors recover faster. Presently, doctors rely on …

[HTML][HTML] MAMAF-Net: Motion-aware and multi-attention fusion network for stroke diagnosis

A Degerli, P Jäkälä, J Pajula, M Immonen… - … Signal Processing and …, 2024 - Elsevier
Stroke is a major cause of mortality and disability worldwide from which one in four people
are in danger of incurring in their lifetime. The pre-hospital stroke assessment plays a vital …