Expert in Image processing
Pierre Vandergheynst
Enabling Ultra-Low-Power Ambulatory Monitoring of Cardiac and Neurological Bioelectrical Signals Using Compressed Sensing

Expert in thermal modeling of multiprocessor architectures and thermal management, hardware/software co-design methods
David Atienza

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.  

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Our researchers in the media

Notable publications

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

Posters from 2011

Real-Time Compressed Sensing-Based Electrocardiogram Compression on Energy-Constrained Wireless Body Sensors
Hossein Mamaghanian, Nadia Khaled, David Atienza, Pierre Vandergheynst

Investigating Microcontroller Architectures for Embedded Health Monitoring Systems
Ahmed Dogan, David Atienza, Andreas Burg, Frank K. Gurkaynak