Name
Lulu ZHAO
Email
zhaolulu@seu.edu.cn
Phone
18105376719
Address
School of Instrument Science and Engineering, Southeast University, Nanjing, China
Researchgate
GoogleScholar

Research Interests

Emotion recognition and intelligent medical treatment:1. Detection and analysis of physiological signals;2. Exploration of physiological and pathological changes and pathogenesis of depression patients based on physiological signals;3. Clinical depression detection and assessment based on wearable devices.

Working Experiences

2021.11- now Postdoctoral Researcher, School of Instrument Science and Engineering, Southeast University, Nanjing, China

2012.09-2015.08 Lecturer, School of Medical Information Engineering, Jining Medical University, Jining, China


Education

2015.09-2021.06 PhD in Systems Engineering, Shandong University, China

工学博士,系统工程专业,山东大学

2010.09-2011.11 Master in Biomedical Engineering, Imperial College London, UK

理学硕士,生物医学工程专业,伦敦帝国理工学院,英国

2006.09-2010.06 BSc in Biomedical Engineering, Sichuan University, China

工学学士,生物医学工程专业,四川大学

Published Papers

Cardiorespiratory Coupling Analysis Based on Entropy and Cross-Entropy in Distinguishing Different Depression Stages
Lulu Zhao, Licai Yang, Zhonghua Su & Chengyu Liu*
Frontiers in Physiology, 2019, 10: 359(1)-359(14).

Evaluation of consistency of HRV indices change among different emotions
Lulu Zhao, Licai Yang*, Hongyu Shi, Yirong Xia, Fei Li & Chengyu Liu
2017 Chinese Automation Congress & 2017 China Intelligent Manufacturing International Conference, , Jinan, China, 2017: 4783-4786
[pdf]

Frontal Alpha Complexity of Different Severity Depression Patients
Lulu Zhao, Licai Yang, Baimin Li, Zhonghua Su, Chengyu Liu
Journal of Healthcare Engineering,
[pdf]

Depression evaluation based on prefrontal EEG signals in resting state using fuzzy measure entropy
Feifei Chen, Lulu Zhao, Baimin Li, Licai Yang
Physiological Measurement, 41(9)
[pdf]

Frontal Alpha EEG Asymmetry Variation of Depression Patients Assessed by Entropy Measures and Lemple-Ziv Complexity
Lulu Zhao, Licai Yang*, Baimin Li, Zhonghua Su, Chengyu Liu*
Journal of Medical and Biological Engineering, 41(2): 146-154
[pdf]

End-to-End Depression Recognition Based on a One-Dimensional Convolution Neural Network Model Using Two-Lead ECG Signal
Xiaohan Zang, Baimin Li, Lulu Zhao*, Dandan Yan, Licai Yang*
Journal of Medical and Biological Engineering, 2022
[pdf]

Automated detection of clinical depression based on convolution neural network model
Dandan Yan, Lulu Zhao*, Xinwang Song, Xiaohan Zang and Licai Yang*
Biomedical Engineering / Biomedizinische Technik,
[pdf]