Health informatics, medical signal analysis, and intelligent instrumentation encompass the following areas:

1. Physiological information detection: focusing on wearable and non-intrusive measurement techniques.
2. Physiological information analysis: employing signal processing, machine learning, artificial intelligence, data mining, and other technologies to extract key features, screen, provide early warnings, and diagnose and predict diseases.
3. Physical stimulation intervention: developing neural rehabilitation technologies and equipment utilizing electrical, magnetic, acoustic, and other multimodal physical stimulations.

• Master’s students
• PhD students
• Postdoctoral fellows
• Visiting master’s and doctoral students

Majors required: 

Biomedical Engineering, Electronic Information, Pattern Recognition and Intelligent Systems, Signal and Information Processing, Computer Science, Software Engineering, Medicine, and other majors related to the aforementioned subjects.

Research interest: 

Biomedical engineering

Recruitment Field:

Wearable and non-intrusive measurement

Intelligent analysis of physiological signals

Multi-modal physical stimulation intervention

2015-09--2019-09 PhD, Pattern Recognition and Intelligent Systems, University of Chinese Academy of Sciences, China 

2002-09--2009-05, Bachelor and Master of Biomedical Engineering, Central South University, China

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2021/10~ present, Associate Professor, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), China

2019/09~2021/10, Postdoctoral, Department of Electronic and Electrical Engineering, Southern University of Science and Technology, China

2009/05~2015/08, Research Assistant~Assistant Research Fellow, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), China

Modern signal processing

   

1.Haoshi Zhang#, Xiaomeng Zhou#, Lin Wang, Yue Zheng, Ning Ji, Jingjing Wei, Guanglin Li*, Wan-Hua Lin*. Electrocardiogram (ECG) Attenuation in Surface Electromyogram Using an ECG Template-Based Time-Frequency Masking Approach[J]. Biomedical Signal Processing and Control,123 (2026):110402

2.Xiangni Lin#, Gengxing Liu#, Lin Wang, Xiaomeng Zhou, Xinping Deng, Ning Ji, Jingjing Wei, Jingxin Shi, Chunjie Yuan, Rongcai Jiang, Guanglin Li and Wan-Hua Lin*. Minimum data length required for reliable resting frequency-domain ultra-short-term heart rate variability analysis[J]. Physiological Measurement,2026,47(4):045010

3.Wan-Hua Lin^#, Dingchang Zheng, Guanglin Li*, Fei Chen*, “Age-related changes in blood volume pulse wave at fingers and ears,” IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 9, pp. 5070–5080, Sep. 2024

4.Wan-Hua Lin^#, Dingchang Zheng, Guanglin Li, Hui Zhou, Fei Chen*. Investigation on pulse wave forward peak detection and its applications in cardiovascular health. IEEE Transactions on Biomedical Engineering, vol. 69(2): 700-709, Feb.2022

5.Ning Ji, Yuanheng Li, Jingjing Wei, Fei Chen, Lisheng Xu, Guanglin Li and Wan-Hua Lin*. Autonomic modulation by low–intensity focused ultrasound stimulation of the vagus nerve. Journal of Neural Engineering, vol. 19(6): 700-709, Dec., 2022

6.Ning Ji#, Wan-Hua Lin^#, Fei Chen, Lisheng Xu, Jianping Huang, Guanglin Li*, “Blood pressure modulation with low intensity focused ultrasound stimulation to the vagus nerve: A pilot animal study,” Frontiers in Neuroscience, vol.14, no.586424, Nov 12, 2020

7. Wan-Hua Lin^#, FeiChen^#, YanjuanGeng, NingJi, PengFang, GuanglinLi*. “Towards accurate estimation of cuffless and continuous blood pressure using multi-order derivative and multivariate photoplethysmogram features,” Biomedical Signal Processing and Control, vol. 63, no. 2021, pp. 102198, Jan, 2021.

8. Wan-Hua Lin^#, Xiangxin Li, Yuanheng Li, Guanglin Li, and Fei Chen*, “Investigating the physiological mechanisms of the photoplethysmogram features for blood pressure estimation,” Physiological Measurement, vol. 41, pp. 044003, May 1, 2020 (Best paper award, 1/171) .

9. Wan-Hua Lin^#, Oluwarotimi Williams Samuel, Guanglin Li*, “Reply to Comment on 'New photoplethysmogram indicators for improving cuffless and continuous blood pressure estimation accuracy,” Physiological Measurement, vol. 39, no. 9, pp. 098002, Sep 27, 2018

10. Wan-Hua Lin^#, Hui Wang, Oluwarotimi Williams Samuel, Gengxing Liu, Zhen Huang, Guanglin Li*, “New photoplethysmogram indicators for improving cuffless and continuous blood pressure estimation accuracy,” Physiological Measurement, vol. 39, no. 2, pp. 025005, Feb 26, 2018 (Top-cited award, 1%).

1.Chunjie Yuan, NingJi, Jingjing Wei, Hui Wang, Member, IEEE, Guanglin Li. Lin Wang*, and Wan-Hua Lin*. Improving Cuffless and Calibration-free Blood Pressure Estimation via Prototype-Based Metric Learning from ECG and PPG Signals. 48th Annual International Conference of the IEEE-EMBS (EMBC 2026): Toronto, Canada.

2.Ning Ji, Jingjing Wei, Fansi Gao, Lisheng Xu, Wan-Hua Lin*, and Guanglin Li*. Non-invasive Regulation of Body Weight and Metabolism by Chronic Low-Intensity Focused Ultrasound Stimulation of Vagus Nerve. 47th Annual International Conference of the IEEE-EMBS (EMBC 2025): Copenhagen, Denmark.

3.Jingjing Wei, Ning Ji, Lin Wang, Xinyu Wu, Guanglin Li*, Wan-Hua Lin*. Comparison of Blood Pressure Modulation by Low-Intensity Focused Ultrasound Stimulation of Carotid Sinus, Nodose Ganglion, and Vagus Nerve. 46th Annual International Conference of the IEEE-EMBS (EMBC 2024): Orlando, USA

4.Ning Ji, Yuanheng Li, Jingjing Wei, Lei Huang, Wan-Hua Lin*, and Guanglin Li*.” The Changes of Cardiovascular Neurotransmitter Levels under Low-Intensity Focused Ultrasound Stimulation of the Vagus Nerve,” 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023), Sydney, Australia, 24-27 Jul. 2023

Xiangni Lin, Master student

Jingxin Shi, Master student

Chunjie Yuan, Master student

(1) IOP Publishing "China High Cited Paper Award", 2021 

(2) Shenzhen High-level Professional Talent Reserve level talent, 2021 

(3) Martin Black Prize for Best Paper published in the jornal Physiological Measurement in 2020