Lin Xu, Assistant Professor

Lin Xu, Assistant Professor

Tel: (021)20684449  
Email: xulin1@@shanghaitech.edu.cn
Office: Room 2-302I, SIST Building
Major: EE
Website:
Education: Ph.D., TU Eindhoven, Nehterlands

RESEARCH INTERESTS

  • Biomedical signal processing, e.g, Electromyography and Electrocardiography

  • Adaptive filtering, Blind Source Separation, Machine learning

  • Wearable medical devices

  • Neuromuscular rehabilitation

  • Ambulatory monitoring


BIOGRAPHY

Dr. Xu worked at CRRC ZIYANG CO., LTD. from 2000 to 2007, during which he received the B.S. in Mechatronics in 2006 by self-study. In Sep. 2007 he moved to the University of Electronic Science and Technology of China (UESTC) for master study and received the M.S.c in Measurement Technology and Instrumentation in 2010. From Sep. 2010 to Aug. 2011, he was a PhD candidate at UESTC. In Sep. 2011, he moved to the Eindhoven University of Technology (TU/e), from where he received the Ph.D. in Jan. 2016. After that, he worked at the TU/e as a postdoc researcher until Aug. 2019. Dr. Xu joined the ShanghaiTech University in Sep. 2019 as an assistant professor and Ph.D. supervisor.

 

Dr. Xu’s research focuses on biomedical signal processing and its application in neuromuscular rehabilitation and ambulatory monitoring. He has published more than ten papers in prestigious journals and conferences, such as J Neural Eng, IEEE Trans Neural syst Rehabil Eng, IEEE Trans Instrum Meas, and IEEE EMBC. He also presented his works in several international conferences and won two Best Paper Awards. Dr. Xu is a member of the IEEE and a member of the ISEK. He is also a reviewer of several top journals, including IEEE Trans Biomed Eng, IEEE J Biomed Health Inform, and IEEE Trans Instrum Meas.


SELECTED PUBLICATIONS

  1. Xu Lin, Rabotti C., Zhang YJ., Vullings R., Meftah M., Ouzounov S., Harpe PJA. and Mischi M, “Simulator of a full fetal electrocardiogram measurement chain by multichannel capacitive sensing”, IEEE Trans Instrum Meas., accepted, 2019.

  2. Xu Lin, Rabotti C., Zhang YJ., Ouzounov S., Harpe PJA. and Mischi M, “Motion-Artifact Reduction in Capacitive Heart-Rate Measurements by Adaptive Filtering”, IEEE Trans Instrum Meas. vol 68, pp. 4085-93, 2018.

  3. Xu Lin, Negro F., Xu Y., Rabotti C., Schep G., Farina D. and Mischi M, “Does vibration superimposed on low-level isometric contraction alter motor unit recruitment strategy?”, J Neural Eng., vol. 15, 066001, 2018.

  4. Sammali Federica, Xu L., Rabotti C., Cardinale M., Xu Y., van Dijk JP., Zwarts MJ., Del Prete Z. and Mischi M., “Effects of vibration-induced fatigue on the H-reflex”, J Electromyogr Kinesiol, vol. 39, pp. 134-141, 2018.

  5. Xu Lin, Rabotti C. and Mischi M., “Towards Real-Time Estimation of Muscle-Fiber Conduction Velocity Using Delay-Locked Loop”, IEEE Trans Neural Syst Rehabil Eng., vol. 25, no. 9, pp.1453-1460, 2016.

  6. Xu Lin, Rabotti C. and Mischi M., “Analysis of Vibration Exercise at Varying Frequencies by Different Fatigue Estimators”, IEEE Trans Neural Syst Rehabil Eng., vol. 24 no. 12, pp. 1284-1293, 2016.

  7. Xu Lin, Rooijakkers MJ., Rabotti C., Peuscher J. and Mischi M., “Use of power-line interference for adaptive motion artifact removal in biopotential measurements”, Physiol Meas., vol. 37, no. 1, pp. 25-40, 2016.

  8. Xu Lin, Cardinale M., Rabotti C. and Mischi M., “Eight-week vibration training of the elbow flexors by force modulation: effects on dynamic and isometric strength”, J Strength Cond Res., vol. 30, no. 3, pp. 739-746, 2016.

  9. Xu Lin, Rabotti C. and Mischi M., “On the nature of the electromyographic signals recorded during vibration exercise”, Eur J Appl Physiol., vol. 115, no. 5, pp. 1095-1106, 2015.

  10. Xu Lin, Rabotti C. and Mischi M., “Novel Vibration-Exercise Instrument with Dedicated Adaptive Filtering for Electromyographic Investigation of Neuromuscular Activation”, IEEE Trans Neural Syst Rehabil Eng., vol. 21, no. 2, pp. 275-282, 2013.

  11. Xu Lin, Negro F., Rabotti C., Farina D. and Mischi M., “Investigation of the neural drive during vibration exercise by high-density surface-electromyography”, in Proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Berlin, Germany, July 23-27, 2019.

  12. Xu Lin, Rabotti C., Zhang YJ., Meftah M., Ouzounov S., Harpe PJA. and Mischi M., “Adaptive motion-artifact reduction in capacitive ECG measurements by using the power-line interference”, in Proceedings of 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, June 11-13, 2018.

  13. Xu Lin, Rabotti C. and Mischi M., “Characterization of a novel instrument for vibration exercise”, in Proceedings of 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), San Diego, CA, USA, August 28-September 01, 2012.