Hong-Bo Xie is a Vice-Chancellor's Senior Reserach Fellow at QUT and an Associate Investigator at ACEMS, QUT. He received his Ph.D. degree in Biomedical Engineering from Shanghai Jiao Tong University, Shanghai, China. He has published over 70 research papers incluidng book chapters, peer reviewed journal and conference papers. His research interests include statistical/Bayesian signal processing, machine learning, biomedical signal/image processing, human-machine interface, tensor analysis, and complex system sciences and chaos theory.
Prechtl’s Method on the Qualitative Assessment of General Movement (GMsA) of infants (Alexander et al., 1993, Darsaklis et al., 2011, Einspieler, 2004, Haywood and Getchell, 2009, Piek, 2006) is one method of early prediction of neurodevelopmental outcomes in infants. This movement assessment uses video recordings and the naked eye of the assessor and has established 2 distinct movement classifications (Writhing and Fidgeting) which occur in healthy infants aged from term to 1 month and 3 months, respectively.
Prizes, awards and special recognition
QUT Vice-Chancellor's Research Fellow Travel Fellowships was awarded to Hongbo Xie. Awarded from the QUT.
Xie, H., & Guo T.
(2017). Computational Tools and Techniques for Biomedical Signal Processing.
(Singh, B., Ed.).Computational Tools and Techniques for Biomedical Signal Processing. 100-122. doi: 10.4018/978-1-5225-0660-7.ch005