Feature Engineering and Computational Intelligence in ECG Monitoring

25.06.2021

Englisch

9789811538261

Springer Singapore

Nein

268

Broschiert

Dr. Chengyu Liu received his B.S. and Ph.D. degrees in Biomedical Engineering from Shandong University, China, in 2005 and 2010 respectively. He completed his postdoctoral training at Shandong University, China; Newcastle University, UK; and Emory University, USA. He is currently the Interim Dean of the School of Instrument Science and Engineering at Southeast University, a Professor of the State Key Laboratory of Bioelectronics, and the founding Director of the Wearable Heart-Sleep-Emotion Intelligent Monitoring Lab at Southeast University. He is also the founding Chair of the China Physiological Signal Challenge (from 2018), which focuses on challenging ECG signal processing issues. He is a member of the journal committee of the International Federation for Medical and Biological Engineering (IFMBE), an international advisory board member for Physiological Measurement and the Journal of Medical and Biological Engineering. His research topics include wearable ECG & vital-sign monitoring, machine learning for medical big data, early detection, and device development for cardiovascular diseases. He has published over 180 journal/conference papers.

Electrocardiogram (ECG), Feature engineering, Computational intelligence, Machine learning, ECG Monitoring

TCB - Biotechnologie UYQ - Künstliche Intelligenz PSAX - DV-gestützte Biologie/Bioinformatik

235 mm

15.5 cm