2024年5月1日发(作者：adobe所有软件介绍)
基于ChatGPT的脑电图信号自动分析方法研究（英文中文
双语版优质文档）
Summary:
EEG signal is an important biological signal, which can reflect
the electrical activity of brain neurons, and it is an important
means to study the cognitive function of human brain and
nervous system diseases. However, EEG signals are
characterized by high dimensionality, nonlinearity,
non-stationaryity, and noise interference, making analysis
difficult and requires professional skills and experience.
Therefore, how to use artificial intelligence technology to
automate the analysis of EEG signals is a current hot research
direction. Based on the ChatGPT model, this paper
summarizes and analyzes the tasks of automatic analysis of
EEG signals from the aspects of data preprocessing, feature
extraction, model building and evaluation.
1. Background introduction
EEG signal is a biological signal that records the electrical
activity of neurons in the brain. It is an important means to
study the cognitive function of the human brain and nervous
system diseases. At present, EEG signals are widely used in
medical diagnosis, brain-computer interface, cognitive
neuroscience and other fields. However, EEG signals are
characterized by high dimensionality, nonlinearity,
non-stationaryity, and noise interference, making analysis
difficult and requires professional skills and experience.
Therefore, how to use artificial intelligence technology to
automate the analysis of EEG signals is a current hot research
direction.
2. Data preprocessing
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