Artificial intelligence for brain disease diagnosis using electroencephalogram signals  

作　　者：Shunuo SHANG Yingqian SHI Yajie ZHANG Mengxue LIU Hong ZHANG Ping WANG Liujing ZHUANG 

机构地区：[1]Biosensor National Special Laboratory,Key Laboratory for Biomedical Engineering of Education Ministry,Department of Biomedical Engineering,Zhejiang University,Hangzhou 310027,China [2]The MOE Frontier Science Center for Brain Science&Brain-Machine Integration,Zhejiang University,Hangzhou 310027,China [3]The State Key Lab of Brain-Machine Intelligence,Zhejiang University,Hangzhou 310027,China

出　　处：《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》2024年第10期914-940,共27页浙江大学学报（英文版）B辑（生物医学与生物技术）

基　　金：supported by the National Key Research and Development Project of China(No.2021ZD0200405);the National Natural Science Foundation of China(Nos.62271443,32250008,and 82330064).

摘　　要：Brain signals refer to electrical signals or metabolic changes that occur as a consequence of brain cell activity.Among the various non-invasive measurement methods,electroencephalogram(EEG)stands out as a widely employed technique,providing valuable insights into brain patterns.The deviations observed in EEG reading serve as indicators of abnormal brain activity,which is associated with neurological diseases.Brain‒computer interface(BCI)systems enable the direct extraction and transmission of information from the human brain,facilitating interaction with external devices.Notably,the emergence of artificial intelligence(AI)has had a profound impact on the enhancement of precision and accuracy in BCI technology,thereby broadening the scope of research in this field.AI techniques,encompassing machine learning(ML)and deep learning(DL)models,have demonstrated remarkable success in classifying and predicting various brain diseases.This comprehensive review investigates the application of AI in EEG-based brain disease diagnosis,highlighting advancements in AI algorithms.

关 键 词：Brain disease ELECTROENCEPHALOGRAPHY Brain computer interface Artificial intelligence 

分 类 号：R74[医药卫生—神经病学与精神病学] TP18[医药卫生—临床医学]