蔡涵書，男，蘭州大學普適感知與智慧型系統實驗室副教授，碩士生導師。
基本介紹
- 中文名：蔡涵書
- 職業：教師
- 職務：碩士生導師
- 任職院校：蘭州大學普適感知與智慧型系統實驗室
- 職稱：副教授
研究方向,學術成果,社會兼職,
研究方向
情感計算、普適計算、生物信息反饋等
學術成果
目前在研項目：
2019.12–2024.11，國家重點研發計畫，2019YFA0706200，基於心理生理多模態信息的抑鬱障礙早期識別與干預方法，子課題負責人。
發表論文及專著
近5年主要論文如下：
Cai H, Qu Z, et al. Feature-level fusion approaches based on multimodal EEG data for depression recognition[J]. Information Fusion. 2020, 59 (2020): 127-138. (SCI 一區 IF 10.716)
Cai H, Zhang X, et al. A Case-based Reasoning Model for Depression based on Three-electrode EEG Data[J].IEEE Transactions on Affective Computing. 2018. (SCI 二區 IF 6.288)
Cai H, Han J, et al. A Pervasive Approach to EEG-based Depression Detection[J]. Complexity. 2018. (SCI 二區 IF 591)
Cai H, Chen Y, et al. Study on Feature Selection Methods for Depression Detection Using Three-Electrode EEG Data[J]. Interdisciplinary Sciences: Computational Life Sciences. 2018, 2018: 1-8. (SCI 三區 IF 418)
Cai H, Zhang Y, et al. Study on Depression Classification Based on Electroencephalography Data Collected by Wearable Devices[C]. 2017 International Conference on Brain Informatics. Springer, Cham, 2017: 244-253. (EI)
Cai H, Wang Z, et al. A Virtual-Reality Based Neurofeedback Game Framework for Depression Rehabilitation using Pervasive Three-Electrode EEG Collector[C]. Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing. ACM, 2017: 173-176. (EI)
Cai H, Sha X, et al. Pervasive EEG diagnosis of depression using Deep Belief Network with three-electrodes EEG collector[C]. Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on. IEEE, 2016: 1239-1246. (CCF B類)
Cai H, Wei S, et al. Brief Discussion on Current Computerized Cognitive Behavioral Therapy[C]. International Conference on Brain Informatics and Health. Springer, Cham, 2015: 420-431. (EI)
Cai H, Wang Z, et al. A Novel Depression Rehabilitation Game Framework Using VR Based on Neurofeedback[J]. 計算機工程, 2018, 44(10): 264-273,280. (CSCD)
社會兼職
2019.6 – 擔任中國醫學救援協會神經生物反饋治療與干預分會副秘書長
