After abusing drugs for long,drug users will experience deteriorated self-control cogni-tive ability,and poor emotional regulation.This pa-per designs a closed-loop virtual-reality (VR),motor-imagery (MI) rehabilitation training system based on brain-computer interface (BCI) (MI-BCI+VR),aim-ing to enhance the self-control,cognition,and emo-tional regulation of drug addicts via personalized re-habilitation schemes.This paper is composed of two parts.In the first part,data of 45 drug addicts (mild:15;moderate:15;and severe:15) is tested with electroencephalogram (EEG) and near-infrared spec-troscopy (NIRS) equipment (EEG-NIRS) under the dual-mode,synchronous signal collection paradigm.Using these data sets,a dual-modal signal convolu-tional neural network (CNN) algorithm is then de-signed based on decision fusion to detect and clas-sify the addiction degree.In the second part,the MI-BCI+VR rehabilitation system is designed,optimizing the Filter Bank Common Spatial Pattern (FBCSP) al-gorithm used in MI,and realizing MI-EEG intention recognition.Eight VR rehabilitation scenes are de-vised,achieving the communication between MI-BCI and VR scene models.Ten subjects are selected to test the rehabilitation system offline and online,and the test accuracy verifies the feasibility of the system.In future,it is suggested to develop personalized reha-bilitation programs and treatment cycles based on the addiction degree.

Xuelin Gu;Banghua Yang;Shouwei Gao;Honghao Gao;Linfeng Yan;Ding Xu;Wen Wang

School of Mechanical and Electrical Engineering and Automation,Shanghai University,Shanghai 200444,China;School of Computer Engineering and Science,Shanghai University,Shanghai 200444,China;Department of Radiology & Functional and Molecular Imaging Key Lab of Shaanxi Province,Tangdu Hospital,Fourth Military Medical University,Xi'an,Shaanxi 710038,China;Shanghai Drug Rehabilitation Administration Bureau,Shanghai 200080,China

中国通信（英文版）

[1]Xuelin Gu;Banghua Yang;Shouwei Gao;Honghao Gao;Linfeng Yan;Ding Xu;Wen Wang-.BCI+VR Rehabilitation Design of Closed-Loop Motor Imagery Based on the Degree of Drug Addiction)[J].中国通信（英文版）,2022(02):62-72

BCI+VR,Addiction,abusing,habilitation,reha

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