METHOD FOR CONSCIOUSNESS AND PAIN MONITORING, MODULE FOR ANALYZING EEG SIGNALS, AND EEG ANESTHESIA MONITOR

• 1. 脑电人体分析仪及脑电信号检测方法 [P] . 中国专利： CN105769183A . 2016-07-20
• 2. 一种基于听觉诱发脑电信号分析的意识障碍辅助诊断系统 [P] . 中国专利： CN113116306A . 2021-07-16
• 3. METHOD FOR CONSCIOUSNESS AND PAIN MONITORING, MODULE FOR ANALYZING EEG SIGNALS AND EEG NARCOSIS MONITOR [P] . 欧洲知识产权局专利： EP2704629B1 . 2016-12-28

  机译： 意识和疼痛监测方法，脑电信号分析模块和脑电麻醉监测器

• 4. METHOD FOR CONSCIOUSNESS AND PAIN MONITORING, MODULE FOR ANALYZING EEG SIGNALS AND EEG NARCOSIS MONITOR [P] . 欧洲知识产权局专利： EP2704629A1 . 2014-03-12

  机译： 意识和疼痛监测方法，脑电信号分析模块和脑电麻醉监测器

• 5. METHOD FOR CONSCIOUSNESS AND PAIN MONITORING, MODULE FOR ANALYZING EEG SIGNALS AND EEG NARCOSIS MONITOR [P] . 世界知识产权组织专利： WO2012150015A1 . 2012-11-08

  机译： 意识和疼痛监测的方法，脑电信号分析模块和脑电麻醉监测器

• 1. A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis [J] . Ce Zhang, Azim Eskandarian 自动化学报：英文版 . 2021,第007期
• 2. A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis [J] . Ce Zhang, Azim Eskandarian 自动化学报（英文版） . 2021,第007期
• 3. Quasi-Periodicities Detection Using Phase-Rectified Signal Averaging in EEG Signals as a Depth of Anesthesia Monitor [J] . Quan Liu, Yi-Feng Chen, Shou-Zen Fan, IEEE transactions on neural systems and rehabilitation engineering . 2017,第10期
• 4. EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks [J] . QuanLiu, Yi-FengChen, Shou-ZenFan, Computational and mathematical methods in medicine . 2015,第3a4期
• 5. Adaptive Computation of Multiscale Entropy and Its Application in EEG Signals for Monitoring Depth of Anesthesia During Surgery [J] . Cheng-Wei Lu, Jiann-Shing Shieh, Maysam F. Abbod, Entropy . 2012,第6期
• 6. A New Method to Monitor Depth of Anesthesia Based on the Autocorrelation EEG Signals [C] . ZHANG Lianyi, ZHENG Chongxun International Conference on Neural Interface and Control; 20050526-28; Wuhan(CN) . 2005
• 7. Monitoring the depth of anesthesia: Methods based on EEG signal processing. [D] . Tan, Zhibin. 2007
• 8. Time-Frequency Analysis of EEG Signals and GLCM Features for Depth of Anesthesia Monitoring [O] . Seyed Mortaza Mousavi, Akbar Asgharzadeh-Bonab, Ramin Ranjbarzadeh 2021
• 9. Adaptive Computation of Multiscale Entropy and Its Application in EEG Signals for Monitoring Depth of Anesthesia During Surgery [O] . Shou-Zen Fan, Cheng-Wei Lu, Jiann-Shing Shieh, 2012
• 10. Relation of Frequency-Analyzed EEG to Monitoring Behavior [R] . Townsend, R. E., Johnson, L. C. 1978

• 1. Comparison of ICA and WT with S-transform based method for removal of ocular artifact from EEG signals [J] . Kedarnath Senapati ,Aurobinda Routray . 生物医学工程（英文） . 2011,第5期
• 2. Real-time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG [J] . . 中国生物医学工程学报：英文版 . 2015,第2期
• 3. Signal averaging for noise reduction in anesthesia monitoring and control with communication channels [J] . Zhi-Bin Tan ,Le-Yi Wang ,Hong Wang . 生物医学工程（英文） . 2009,第7期
• 4. 应用小波分析消除脑电信号中的肌电伪迹 [C] . . 第七届(2008年)海峡两岸科技与经济论坛 . 2008
• 5. 基于脑电信号的麻醉深度监测方法研究 [A] . 朱富贵 . 2019