Anna M. Bianchi

Anna M. Bianchi (M’93) received a M.Sc. degree in Electronic Engineering from Politecnico di Milano, Milan (Italy), in 1987. From 1987 to 2000 she was first Research Fellow and and then Research Assistant at IRCCS S. Raffaele Hospital, Milan. Since 2001. She is currently a Professor in biomedical engineering and medical informatics at the Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy. Her research interests include biomedical signal processing, data analysis and multimodal signal, and image integration. The aim is to achieve and to improve relevant information about physiological and/or pathological systems and processes and define new interpretative models. In particular, she worked on time-frequency and time-variant approaches for spectral estimation that were applied in the studies of the dynamical behavior of the cardiovascular system and of the central nervous system. She is now working on multivariate and multimodal integration especially focused on the study of the central nervous system functionality. In addition, she is working on automatic analysis and classification of biomedical signals recorded through wearable or nonconventional sensors designed for continuous home monitoring. She is involved in many national and European research projects. She is an EAMBES Fellow. She is an Author of more than 100 papers published in peer-reviewed international journals (H-index = 23). She is a Reviewer ofmany journals in the field of biomedical engineering and has active research collaborations with other research institutions (MIT, CNR, other Italian Universities) and companies (Philips, VTT, CSEM).

Associated articles

TBME, Featured Articles
User-Independent Recognition of Sports Activities From a Single Wrist-Worn Accelerometer: A Template-Matching-Based Approach
A sedentary lifestyle is a major risk factor for chronic diseases such as cardiovascular diseases, diabetes mellitus and osteoporosis. Many studies reported that physical activity can prevent such pathologies. Thus, measuring physical activity has become increasingly important to conduct research... Read more
IEEE PULSE, Feature July/August 2015
Multidimensional Processes
Biomedical studies, both in research and in clinical applications, deal with the management of large amounts of data. Different sensors and transducers, advances in technologies, and the availability of innovative medical equipment and instrumentation all contribute to the ability to... Read more