Electroencephalogram data processing method and device based on federal migration, equipment and medium

Abstract

The invention discloses an electroencephalogram data processing method and device based on federal migration, equipment and a medium. The method comprises the steps: obtaining a plurality of groups ofelectroencephalogram data, respectively transmitting the plurality of groups of electroencephalogram data to all feature mapping models in a local terminal for mapping, and generating standard electroencephalogram data; transmitting the standard electroencephalogram data to a brain activity recognition model in a local terminal for processing, generating model parameters, and transmitting the model parameters to a preset public server for aggregation; receiving an update parameter returned by aggregation, and updating the brain activity recognition model, and processing the standard electroencephalogram data obtained by remapping processing of each feature mapping model based on the updated brain activity recognition model until the total loss value generated by the brain activity recognition model is smaller than a preset value, thereby completing processing of multiple groups of electroencephalogram data based on federal migration. According to the method and the device, the electroencephalogram data is processed on the premise of fully protecting the privacy of the user, and the electroencephalogram data is prevented from being acquired in various modes, so that the processingefficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of financial technology (Fintech), in particular to a federated migration-based EEG data processing method, device, equipment and medium. Background technique [0002] With the continuous development of financial technology (Fintech), especially Internet technology finance, more and more technologies (such as big data, cloud storage, machine learning, etc.) Higher requirements, such as requiring machine learning to process EEG data to reflect the user's psychological state, mental state, etc. [0003] Currently, EEG (Electroencephalogram, electroencephalogram) is considered to be an ideal way to realize a non-invasive brain-computer interface (Brain-computer interface, BCI). Researchers continue to try to analyze complex brain activities from EEG signals. As a typical solution, machine learning can realize the recognition of various brain activities based on EEG signal data by processing and trainin...

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Problems solved by technology

[0006] The main purpose of the present invention is to provide a method, device, device, and medium for processing EEG data based on federated migration, aiming to solve the problem of low processing efficiency of EEG data in the prior art and the difficulty of fully protecting user privacy. Technical issues in processing EEG data

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