Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing
David Atienza EPFL
Project Description
Our modern society is today threatened by an incipient healthcare delivery crisis caused by current demographic and lifestyle trends. On the one hand the world’s population is aging quickly, resulting in an increased prevalence of cardiac and neurological disorders. On the other hand, our busy lifestyles leave little time and motivation for fitness, healthy diet management and mental wellness, and are fuelling the rise of the number of people unsuspectingly developing, or living with, chronic cardiovascular and neurological conditions for decades.
Ultra-low-power ECG front-end design based on compressed sensing Hossein Mamaghanian, Pierre Vandergheynst Design, Automation & Test in Europe Conference & Exhibition (DATE)
A Real-Time Compressed Sensing-Based Personal Electrocardiogram Monitoring System K. Kanoun, H. Mamaghanian, N. Khaled, D. Atienza
Real-Time Compressed Sensing-Based Electrocardiogram Compression on Energy Constrained Wireless Body Sensors H. Mamaghanian, N. Khaled, D. Atienza, P. Vandergheynst Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS"11), 1744-1747, IEEE Press, May 2011
Compressed Sensing for Real-Time Energy-Aware ECG Compression on Wireless Body Sensor Nodes A. Dogan, D. Atienza, Andreas Burg, I. Loi, L. Benini accepted on Proceedings of the 2011 IEEE Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS 11), Madrid, Spain, Published in Lecture Notes in Computer Science (LNCS), expected date of publication: September 2011
