Research on Embedding Intelligent Models in EEG Data Platform

With the rapid development of artificial intelligence (AI) technology, its application in the field of clinical electroen-cephalography (EEG) diagnosis shows remarkable prospects. It has become an urgent need to assist medical experts in clinical EEG diagnosis practice by constructing EEG intelligent models to automatically identify and diagnose EEG signals. This process involves the differences of AI algorithms and the complexity for practical applications. Therefore, the key lies in how to embed the EEG intelligent models into the EEG data platform of practical applications, manage these intelligent models in a unified and standardised way, and enhance their practicality and effectiveness in clinical EEG diagnosis. To this end, we have designed and developed an EEG data platform application that aims to provide services for the embedding of intelligent models and provide a standardised interface in terms of intelligent algorithms. Users can register algorithms according to their own needs, construct models on the platform in combination with EEG datasets to achieve the embedding of intelligent models, and provide convenient services for the unified management of models. This platform provides conditions for standardising the process of embedding EEG intelligent models and supports the auxiliary application of intelligent models in clinical diagnosis.