EEG-based tonic cold pain assessment using extreme learning machine

Author:

Yu Mingxin1,Yan Hao1,Han Jing2,Lin Yingzi34,Zhu Lianqing1,Tang Xiaoying4,Sun Guangkai1,He Yanlin1,Guo Yikang3

Affiliation:

1. Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing 100015, China

2. Emergency and Critical Care Center, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China

3. School of Life Sciences, Beijing Institute of Technology, Beijing 100086, China

4. Intelligent Human-Machine Systems Lab, College of Engineering, Northeastern University, Boston, MA 02115, USA

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on Pain Information Management System Based on Deep Learning;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

2. EEG-based tonic cold pain intensity assessment using CNN-LSTM;2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE);2022-07-15

3. Experimental Exploration of Objective Human Pain Assessment Using Multimodal Sensing Signals;Frontiers in Neuroscience;2022-02-11

4. Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data;The Journal of Pain;2021-08

5. Clinical use of Electroencephalography in the Assessment of Acute Thermal Pain: A Narrative Review Based on Articles From 2009 to 2019;Clinical EEG and Neuroscience;2021-06-16

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