Human body excitation degree evaluation method based on electroencephalogram signals

• Main Authors: CAI HAOYANG, YAN YING, CHEN QINJIE, LI ZHEN, LIU GUANTING, ZHANG QIQI, HE SIZHEN
• Format: Patent
• Language: Chinese; English
• Published: 26.03.2024
• Subjects: DIAGNOSIS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; SURGERY

The invention relates to a human body excitement degree evaluation method based on electroencephalogram signals, which comprises the following steps of: firstly, executing discrete wavelet transform for sample electroencephalogram signals in preset various excitement degree classification frequency ranges to obtain corresponding various levels of sub-band signals, and screening based on preset various to-be-analyzed statistical characteristics to obtain various target statistical characteristics; and then training is carried out for the preset classification network to obtain the excitement degree evaluation model, so that the excitement degree of the to-be-analyzed personnel can be classified in practical application, the expression ability and generalization ability of the model are improved by the design scheme, and compared with a common deep learning method, the method has the advantages that high precision is maintained, and meanwhile, the analysis efficiency is improved. The calculation speed is improv