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兰州理工大学 [5]

西安交通大学 [4]

兰州大学 [4]

北京航空航天大学 [3]

沈阳自动化研究所 [2]

清华大学 [1]

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	Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model 期刊论文 IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 2, 页码: 1391-1403 作者: Zhao, Yuxuan; Cao, Xinyan; Lin, Jinlong; Yu, Dunshan; Cao, Xixin 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/11/17 Physiology Brain modeling Feature extraction Electroencephalography Biological system modeling Convolution Reliability Multimodal affective states recognition convolutional neural network decision fusion model physiological signals
	Research on product primitives recognition in a computer-aided brand product development system 期刊论文 Computer-Aided Design and Applications, 2021, 卷号: 18, 期号: 6, 页码: 1146-1166 作者: Yang, Wenjin; Su, Jianning; Zhang, Xinxin; Qiu, Kai; Zhang, Shutao 收藏 \| 浏览/下载：7/0 \| 提交时间：2021/04/12 Analytic hierarchy process Data mining Knowledge management Product development Complex engineering Intelligent designs Knowledge transfer Physiological signals Primitives recognition Product development system Product knowledge Product-design cycles
	Sleep stage classification using covariance features of multi-channel physiological signals on Riemannian manifolds 期刊论文 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 卷号: 178 作者: Jiang, Dihong; Ma, Yu; Wang, Yuanyuan 收藏 \| 浏览/下载：59/0 \| 提交时间：2019/12/05 Sleep stage classification Multi-channel physiological signals Covariance matrix Riemannian manifold
	An Improved Method for Using Sample Entropy to Reveal Medical Information in Data from Continuously Monitored Physiological Signals 会议论文 Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 作者: Dong, X.; Chen, C.; Geng, Q.; Cao, Z.; Jin, Y. 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/30 Bioinformatics Continuous time systems Diagnosis Entropy Physiology Calculation process complexity Continuous monitoring Medical information Missing values Nonlinear statistics Physiological data Physiological signals Time series
	Application of a Wearable Physiological Monitoring System in Pulmonary Respiratory Rehabilitation Research 会议论文 Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018, 2018-10-13 作者: Cao, D.; Zhang, Z.; Liang, H.; Liu, X.; She, Y. 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/30 Image processing Patient monitoring Patient treatment Physiology Pulmonary diseases Wearable technology Breathing patterns Chronic obstructive pulmonary disease Health-related quality of lives Physiological monitoring Physiological monitoring systems Physiological signals Pulmonary rehabilitations Wearable systems Patient rehabilitation
	Emotion Recognition Based on Multichannel Physiological Signals with Comprehensive Nonlinear Processing. 期刊论文 Sensors (Basel, Switzerland), 2018, 卷号: Vol.18 No.11 作者: Zhang, X.a; Xu, C.a; Xue, W.a,b; Hu, J.a; He, Y.c 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/21 KPCA and GBDT comprehensive nonlinear processing emotion recognition multichannel physiological signals
	PhysioHMD: A conformable, modular toolkit for collecting physiological data from head-mounted displays 会议论文作者: Bernal, Guillermo; Yang, Tao; Jain, Abhinandan; Maes, Pattie 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/11/26 Affect recognition Behavioural measures Flexible architectures Head mounted displays Physiological data Physiological signals Software and hardwares Virtual and augmented reality
	Physiological Signal-Based Method for Measurement of Pain Intensity 期刊论文 FRONTIERS IN NEUROSCIENCE, 2017, 卷号: 11, 页码: 1-13 作者: Su, Yang; Han JD(韩建达); Zhao XG(赵新刚); Chu YQ(褚亚奇) 收藏 \| 浏览/下载：15/0 \| 提交时间：2017/08/20 feature extraction feature selection and reduction pain intensity quantification physiological signals pattern classification
	新型主流媒体的内涵及打造路径期刊论文 2016, 2016 陈国权收藏 \| 浏览/下载：17/0
	A Three-Stage Decision Framework for Multi-Subject Emotion Recognition Using Physiological Signals 会议论文 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM), Shenzhen, PEOPLES R CHINA, DEC 15-18, 2016 作者: Chen, J; Hu, B; Wang, Y; Dai, YQ; Yao, Y 收藏 \| 浏览/下载：2/0 \| 提交时间：2017/05/11 affective computing emotion recognition multi-modal physiological signals subject-independent

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