paper-with-me

홈 › Papers

Open and free EEG datasets for epilepsy diagnosis

2021-08-02 · Palak Handa, Monika Mathur, Nidhi Goel

The Epilepsies are a common, chronic neurological disorder affecting more than 50 million individuals across the globe. It is characterized by unprovoked, recurring (similar or different type) seizures which are commonly diagnosed through clinical EEGs. Good-quality, open-access and free EEG data can act as a catalyst for on-going state-of-the-art (SOTA) research works for detection, prediction and management of epilepsy and seizures. They can also aid in improving the quality of life (QOL) of these diseased individuals and contribute research in healthcare multimedia, data analytics and Artificial Intelligence (AI) in personalized medicine. This paper presents widely used, available, open and free EEG datasets available for epilepsy and seizure diagnosis. A brief comparison and discussion of open and private datasets has also been done. Such datasets will help in development and evaluation of automatic computer-aided system in healthcare.

📄 PDF Abstract BibTeX arXiv:2108.01030

Code (1)

jaamiila/IntroSe-ales

Tasks

EEGElectroencephalogram (EEG)Management

Similar Papers 제목 키워드 기반

Reporting existing datasets for automatic epilepsy diagnosis and seizure detection

2023-06-21 · Palak Handa, Sakshi Tiwari, Nidhi Goel

More than 50 million individuals are affected by epilepsy, a chronic neurological disorder characterized by unprovoked, recurring seizures and psychological symptoms. Researchers are working to automatically detect or pr…

EEGSeizure Detection

Classification of IED-free EEG Responses for Assisted Epilepsy Diagnosis

2026-05-19 · Giacomo Zanardini, Ryan Moesman, Paul van der Kleij, Robert van den Berg 외 arxiv

Diagnosing epilepsy is challenging when routine EEGs lack interictal epileptiform discharges (IEDs). Intermittent photic stimulation (IPS) and hyperventilation (HV) can increase diagnostic yield, but their interpretation…

Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review

2021-02-05 · Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao 외

Machine learning is playing an increasingly important role in medical image analysis, spawning new advances in the clinical application of neuroimaging. There have been some reviews on machine learning and epilepsy befor…

BIG-bench Machine LearningEEGElectroencephalogram (EEG)Feature Engineering+2

Shorter duration of slow wave sleep is related to symptoms of depression in patients with epilepsy

2023-11-02 · Stefanía Eyjolfsdóttir, Eugen Trinka, Yvonne Höller

Slow wave sleep duration and spectral abnormalities are related to both epilepsy and depression, but it is unclear how depressive symptoms in patients with epilepsy are affected by slow wave sleep duration and clinical f…

EEG

Comparison of EEG based epilepsy diagnosis using neural networks and wavelet transform

2022-04-09 · Mohammad Reza Yousefi, Saina Golnejad, Melika Mohammad Hosseini, Amin Dehghani

Epilepsy is one of the common neurological disorders characterized by recurrent and uncontrollable seizures, which seriously affect the life of patients. In many cases, electroencephalograms signal can provide important …

EEGElectroencephalogram (EEG)