Giovanni Ansaloni

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Publications associées (67)

Risk Assessment of Atrial Fibrillation: a Failure Prediction Approach

David Atienza Alonso, Ruben Braojos Lopez, Daniel Camilo Rojas Quirós, Giovanni Ansaloni

We present a methodology for identifying patients who have experienced Paroxysmal Atrial Fibrillation (PAF) among a given subject population. Our work is intended as an initial step towards the design of an unobtrusive portable system for concurrent detect ...

Institute of Electrical and Electronics Engineers2014

Ultra-Low Power Design of Wearable Cardiac Monitoring Systems

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos, Hossein Mamaghanian, Ruben Braojos Lopez, Giovanni Ansaloni, Alair Dias Junior

This paper presents the system-level architecture of novel ultra-low power wireless body sensor nodes (WBSNs) for real-time cardiac monitoring and analysis, and discusses the main design challenges of this new generation of medical devices. In particular, ...

IEEE/ACM Press2014

Power-Efficient Joint Compressed Sensing of Multi-Lead ECG Signals

Pierre Vandergheynst, David Atienza Alonso, Hossein Mamaghanian, Giovanni Ansaloni

Compressed Sensing (CS) is a new acquisition- compression paradigm for low-complexity energy-aware sensing and compression. By merging both sampling and compression, CS is very promising to develop practical ultra-low power read- out systems for wireless b ...

IEEE Press2014

A Methodology for Embedded Classification of Heartbeats Using Random Projections

David Atienza Alonso, Ruben Braojos Lopez, Giovanni Ansaloni

Smart Wireless Body Sensor Nodes (WBSNs) are a novel class of unobtrusive, battery-powered devices allowing the continuous monitoring and real-time interpretation of a subject’s bio-signals. One of its most relevant applications is the acquisition and anal ...

2013

Synchronizing Code Execution on Ultra-Low-Power Embedded Multi-Channel Signal Analysis Platforms

David Atienza Alonso, Ahmed Yasir Dogan, Andreas Peter Burg, Ruben Braojos Lopez, Jeremy Hugues-Felix Constantin, Giovanni Ansaloni

Embedded biosignal analysis involves a considerable amount of parallel computations, which can be exploited by employing low-voltage and ultra-low-power (ULP) parallel computing architectures. By allowing data and instruction broadcasting, single instructi ...

2013

Embedded Real-Time ECG Delineation Methods: a Comparative Evaluation

David Atienza Alonso, Francisco Javier Rincon Vallejos, Ruben Braojos Lopez, Giovanni Ansaloni

Wireless sensor nodes (WSNs) have recently evolved to include a fair amount of computational power, so that advanced signal processing algorithms can now be embedded even in this extremely low-power platforms. An increasingly successful field of applicatio ...

IEEE Press2012

Integrated Kernel Partitioning and Scheduling for Coarse-Grained Reconfigurable Arrays

Giovanni Ansaloni

Coarse-grained reconfigurable arrays (CGRAs) are a promising class of architectures conjugating flexibility and efficiency. Devising effective methodologies to map applications onto CGRAs is a challenging task, due to their parallel execution paradigm and ...

Institute of Electrical and Electronics Engineers2012

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