A non-invasive EEG signal analysis system applied to decompressed cranial surgery

Abstract

A non-invasive EEG signal analysis system applied to decompressed skull surgery, including a receiving terminal for obtaining final results, and an EEG signal acquisition front-end for collecting and processing the EEG signal data of the subject, and The EEG signal analysis and processing unit receives the processed EEG signal data output by the EEG signal acquisition front end through the wireless transmission network, and the EEG signal analysis and processing unit converts the EEG signal data into a time-frequency diagram, and then passes the improved The GoogLeNet neural network model analyzes and processes the EEG signal data to obtain the classification result of the EEG signal data, and sends the classification result of the EEG signal data to the receiving terminal through the wireless transmission network. The present invention more accurately and stably detects and analyzes the EEG signals of patients after decompressed cranial surgery, and the data classification probability obtained from this can make it easier for doctors to understand the postoperative brain function recovery status of patients, and provide data support for brain function recovery.

Description

technical field [0001] The invention relates to a non-invasive electroencephalogram signal analysis system. In particular, it relates to a non-invasive electroencephalogram signal analysis system applied to decompressed skull surgery. Background technique [0002] As an important indicator of human health, EEG signals have been widely concerned by people. Brain-computer interface is a new type of interactive system, which acts as a bridge between human body signals and external devices. People can use brain-computer interface technology to obtain EEG signals, and then process EEG signals to achieve brain function recognition degree of knowledge. Among them, EEG signal data processing plays a vital role in the application of brain-computer interface technology, and its accuracy determines the stability of brain-computer interface in some aspects. [0003] Skull injury is a serious traumatic disease, which has a high disability rate and fatality rate due to its severity. S...

AI Technical Summary

Problems solved by technology

[0004] At present, there are few data analyzes of EEG signals after decompressed skull surgery, especially for the non-invasive EEG signal analysis system used in decompressed skull surgery.

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