Key result
This scoping review identified 30 EEG datasets covering various healthcare conditions, primarily sleep, psychiatric, and neurological disorders, highlighting opportunities and barriers in data sharing.
Why the study?
The effective utilization of EEG data in advancing medical diagnoses and treatment depends on the availability and quality of relevant datasets.
While open access EEG datasets offer significant potential for healthcare AI, barriers such as poor documentation and lack of adherence to FAIR principles must be addressed to maximize their utility.
Catalogs EEG datasets for AI healthcare tools; leaves open rigorous validation before clinical integration.
The rapidly evolving landscape of artificial intelligence (AI) and machine learning has placed data at the forefront of healthcare innovation. Electroencephalography (EEG) has gained significant attention for its potential to revolutionize healthcare applications. However, the effective utilization of EEG data in advancing medical diagnoses and treatment hinges on the availability and quality of relevant datasets. In this context, we conducted a scoping review to explore the wealth of EEG datasets designed for healthcare applications. This review serves as a critical exploration of the current landscape, aiming to identify datasets related to healthcare conditions while assessing their reusability. Our findings highlight both the opportunities provided by the wealth of open access EEG datasets available as well as any limitations associated with their use. As AI increasingly relies on high-quality, well labelled data, barriers impeding the sharing and utilization of EEG data for healthcare (such as lack of comprehensive documentation or adherence to FAIR principles) must be addressed so as to leverage the potential of advanced deep learning models to unlock new possibilities for diagnosis and analysis of a wide array of medical conditions.
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Silva et al. (2024) conducted a review in Various healthcare conditions (non-epilepsy related) (n=30). EEG datasets was evaluated on Availability, health conditions covered, and reusability of EEG datasets. This scoping review identified 30 EEG datasets covering various healthcare conditions, primarily sleep, psychiatric, and neurological disorders, highlighting opportunities and barriers in data sharing.
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