A machine learning approach to epileptic seizure prediction using Electroencephalogram (EEG) Signal
M Savadkoohi, T Oladunni, L Thompson - Biocybernetics and Biomedical …, 2020 - Elsevier
This study investigates the properties of the brain electrical activity from different recording
regions and physiological states for seizure detection. Neurophysiologists will find the work …
regions and physiological states for seizure detection. Neurophysiologists will find the work …
Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
Brain cancers caused by malignant brain tumors are one of the most fatal cancer types with
a low survival rate mostly due to the difficulties in early detection. Medical professionals …
a low survival rate mostly due to the difficulties in early detection. Medical professionals …
A translational study of the link between Alzheimer's disease, sleep and epilepsy: prevalence, underlying factorsand consequences on memory consolidation
A Szabo - 2022 - theses.hal.science
With more than 30 million people diagnosed worldwide, Alzheimer's disease (AD) is the
most frequent neurodegenerative disorder. Previous research on murine models of AD …
most frequent neurodegenerative disorder. Previous research on murine models of AD …
[PDF][PDF] A MACHINE LEARNING APPROACH FOR PRIMITIVE STAGE DETECTION OF DYSLEXIA USING ELECTROENCEPHALOGRAM SIGNAL ANALYSIS
PS Kantilal, C Paunwala - 2024 - gtusitecirculars.s3.amazonaws.com
Dyslexia, a neurological disorder affecting reading and writing abilities, requires early
intervention for comprehensive social and academic development. Conventional dyslexia …
intervention for comprehensive social and academic development. Conventional dyslexia …
EEG artefact removal methods compared using semi-synthetic data for the analysis of ADHD EEG-Data.
WB Du Toit - 2021 - scholar.sun.ac.za
The electroencephalogram (EEG) is a measure of the biological electrical sig-nals that
reflect the brain's functional state, allied to a person's mental condi-tion and nervous system …
reflect the brain's functional state, allied to a person's mental condi-tion and nervous system …
EEG and TMS-EEG Studies on the Cortical Excitability and Plasticity associated with Human Motor Control and Learning
M Taga - 2019 - repository.uel.ac.uk
More than half of the activities of daily living rely on upper limb functions (Ingram et al.,
2008). Humans perform upper limb movements with great ease and flexibility but even …
2008). Humans perform upper limb movements with great ease and flexibility but even …
[PDF][PDF] BEYİNDE DİNAMİK BAĞLANTILARIN EEG OSİLASYONLARI İLE HARİTALANMASI
DRT DEMİRALP, EE TÜLAY - nek.istanbul.edu.tr
TC İSTANBUL ÜNİVERSİTESİ SAĞLIK BİLİMLERİ ENSTİTÜSÜ DANIŞMAN PROF. DR.
TAMER DEMİRALP SİNİRBİLİM ANABİLİM Page 1 2 TC İSTANBUL ÜNİVERSİTESİ SAĞLIK …
TAMER DEMİRALP SİNİRBİLİM ANABİLİM Page 1 2 TC İSTANBUL ÜNİVERSİTESİ SAĞLIK …
Forward volumetric modeling framework for realistic head models towards accurate EEG source localization
E Cuartas Morales - 2018 - repositorio.unal.edu.co
Los efectos conjuntos conectando técnicas espaciales y funcionales de neuro-imagen
permiten el mejoramiento de las características de un solo método. Específicamente, la …
permiten el mejoramiento de las características de un solo método. Específicamente, la …
[引用][C] Beyinde dinamik bağlantıların EEG osilayonları ile haritalanması
EE Tülay - platform.almanhal.com
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[引用][C] Tam yüz lezyonlu olgularda plastisitesinin EEG tabanlı analizi
E Süzen - 2021 - Akdeniz Üniversitesi