Why the study?
Good-quality, open-access, and free EEG data can act as a catalyst for ongoing state-of-the-art research for the detection, prediction, and management of epilepsy and seizures.
This review provides a comprehensive overview of available open-access EEG datasets to facilitate research and development of artificial intelligence models for epilepsy and seizure diagnosis.
Open EEG datasets may accelerate epilepsy research; leaves open effects on clinical detection or QOL.
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.
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Handa et al. (2021) studied this question.
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