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Artificial intelligence for brain disease diagnosis using electroencephalogram signals
S Shang, Y Shi, Y Zhang, M Liu, H Zhang… - Journal of Zhejiang …, 2024 - Springer
Brain signals refer to electrical signals or metabolic changes that occur as a consequence of
brain cell activity. Among the various non-invasive measurement methods …
brain cell activity. Among the various non-invasive measurement methods …
An innovative approach for parkinson's disease diagnosis using CNN, NCA, and SVM
Y Dogan - Neural Computing and Applications, 2024 - Springer
Parkinson's disease (PD) is a prevalent neurodegenerative disorder affecting millions of
people globally, with substantial health risks and economic burdens. This study aims to …
people globally, with substantial health risks and economic burdens. This study aims to …
Electroencephalogram (EEG) Based Fuzzy Logic and Spiking Neural Networks (FLSNN) for Advanced Multiple Neurological Disorder Diagnosis
Neurological disorders are a major global health concern that have a substantial impact on
death rates and quality of life. accurately identifying a number of diseases Due to inherent …
death rates and quality of life. accurately identifying a number of diseases Due to inherent …
Multiclass classification of epileptic seizure phases using a novel HFO-based feature extraction model
Epilepsy is a neurological disorder characterized by recurrent seizures caused by abnormal
neuronal activity in the brain. It can manifest at any age, from childhood to adulthood, with …
neuronal activity in the brain. It can manifest at any age, from childhood to adulthood, with …
Enhancing EEG Signal Classification with a Novel Random Subset Channel Selection Approach: Applications in Taste, Odor, and Motor Imagery Analysis
A Naser, Ö Aydemir - IEEE Access, 2024 - ieeexplore.ieee.org
This study uses various datasets to evaluate the performance of feature extraction and
classification methods for EEG signals. The EEG signals analyzed in this research are …
classification methods for EEG signals. The EEG signals analyzed in this research are …
[ОПИСАНИЕ][C] Unveiling Parkinson's: Handwriting Symptoms with Explainable and Interpretable CNN Model
Parkinson's disease (PD), the second most prevalent neurodegenerative disorder globally,
afflicting approximately 10 million individuals, necessitates early detection for optimal …
afflicting approximately 10 million individuals, necessitates early detection for optimal …