School of Instrument Science and Engineering, Southeast University, Nanjing, China

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


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


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


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


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

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

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)

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

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

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,