Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes
École Polytechnique · École Polytechnique Fédérale de Lausanne
Abstract
Wireless body sensor networks (WBSN) hold the promise to be a key enabling information and communications technology for next-generation patient-centric telecardiology or mobile cardiology solutions. Through enabling continuous remote cardiac monitoring, they have the potential to achieve improved personalization and quality of care, increased ability of prevention and early diagnosis, and enhanced patient autonomy, mobility, and safety. However, state-of-the-art WBSN-enabled ECG monitors still fall short of the required functionality, miniaturization, and energy efficiency. Among others, energy efficiency can be improved through embedded ECG compression, in order to reduce airtime over energy-hungry wireless…
Citation impact
- FWCI
- 57.74
- Percentile
- 100%
- References
- 29
Authors
4- HMHossein MamaghanianCorresponding
École Polytechnique, École Polytechnique Fédérale de Lausanne
- NKN. Khaled
École Polytechnique, École Polytechnique Fédérale de Lausanne
- DADavid Atienza
École Polytechnique Fédérale de Lausanne, École Polytechnique
- PVPierre Vandergheynst
École Polytechnique, École Polytechnique Fédérale de Lausanne
Topics & keywords
- Computer science
- Wireless sensor network
- Wireless
- Real-time computing
- Compressed sensing
- Energy (signal processing)
- Efficient energy use
- Context (archaeology)
- Affordable and clean energy