Epilepsy is considered as a serious brain disorder in which patients frequently experience seizures. The seizures are defined as the unexpected electrical changes in brain neural …
SAM Mane, A Shinde - Results in Control and Optimization, 2023 - Elsevier
Everyday tasks can cause stress, which can lead to serious medical conditions, such as depression. EEG signal processing can assist medical professionals in managing the …
Machine learning algorithms for seizure detection have shown great diagnostic potential, with recent reported accuracies reaching 100%. However, few published algorithms have …
Epilepsy is one of the most debilitating neurological diseases that abruptly alters a person's way of life. Manual diagnosis is a laborious and time-consuming task prone to human error …
AT Hermawan, IAE Zaeni, AP Wibawa… - Journal of Robotics …, 2024 - journal.umy.ac.id
Epileptic seizures, unpredictable in nature and potentially dangerous during activities like driving, pose significant risks to individual and public safety. Traditional diagnostic methods …
S Mallick, V Baths - Frontiers in Computational Neuroscience, 2024 - frontiersin.org
Introduction Epilepsy is a chronic neurological disorder characterized by abnormal electrical activity in the brain, often leading to recurrent seizures. With 50 million people worldwide …
SJ Shilpa, R Mehta, S Vityazev… - 2023 25th International …, 2023 - ieeexplore.ieee.org
Automatic seizure prediction is helpful to Epilepsy patients to identify the possibility of seizure events momentarily. This could mitigate the risk faced by them while driving …
H Ahuja, S Badhwar, H Edgell, M Litoiu… - Frontiers in Human …, 2024 - frontiersin.org
The COVID-19 pandemic has affected millions worldwide, giving rise to long-term symptoms known as post-acute sequelae of SARS-CoV-2 (PASC) infection, colloquially referred to as …
C Kalpana, G Mohanbabu - Biomedical Signal Processing and Control, 2024 - Elsevier
Early diagnosis of epilepsy is crucial for patient survival and well-being, making it essential to develop effective methods for early disease detection based on health parameters. This …