Non-invasive electroencephalogram signal analysis system applied after decompression skull operation

Abstract

The invention discloses a non-invasive electroencephalogram signal analysis system applied after a decompression skull operation. The system comprises a receiving terminal for obtaining a final result, an electroencephalogram signal acquisition front end used for acquiring electroencephalogram signal data of a testee and processing the electroencephalogram signal data, and an electroencephalogramsignal analyzing and processing unit used for receiving the processed electroencephalogram signal data output by the electroencephalogram signal acquisition front end through a wireless transmission network. The electroencephalogram signal analyzing and processing unit converts the electroencephalogram signal data into a time-frequency diagram, analyzes and processes the electroencephalogram signal data through an improved GoogLeNet neural network model to obtain an electroencephalogram signal data classification result, and sends the electroencephalogram signal data classification result to the receiving terminal through the wireless transmission network. The electroencephalogram signals of a patient after a decompression skull operation are detected and analyzed more accurately and stably, a doctor can know the postoperative brain function rehabilitation condition of the patient more conveniently through the obtained data classification probability, and data support is provided for brain function rehabilitation.

Description

technical field [0001] The invention relates to a non-invasive electroencephalographic signal analysis system. In particular, it relates to a non-invasive EEG signal analysis system applied to decompression skull surgery. Background technique [0002] As an important indicator to study human health, EEG signals have always 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 the EEG signals to achieve the recognition of brain function. degree of knowledge. Among them, EEG signal data processing plays a crucial role in the application of brain-computer interface technology, and its accuracy determines the stability of brain-computer interface in some respects. [0003] Skull injury is a serious traumatic disease with high morbidity and mortality due to its severity. Cran...

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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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