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Model based compressed sensing reconstruction algorithms for ECG telemonitoring in WBANs

Autor
Lalos, A.; Alonso, L.; Verikoukis, C.
Tipus d'activitat
Article en revista
Revista
Digital signal processing
Data de publicació
2014-12-01
Volum
35
Pàgina inicial
105
Pàgina final
116
DOI
https://doi.org/10.1016/j.dsp.2014.08.007 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/25069 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S1051200414002553 Obrir en finestra nova
Resum
Wireless Body area networks (WBANs) consist of sensors that continuously monitor and transmit real time vital signals to a nearby coordinator and then to a remote terminal via the Internet. One of the most important signals for monitoring in WBANs is the electrocardiography (ECG) signal. The design of an accurate and energy efficient ECG telemonitoring system can be achieved by: i) reducing the amount of data that should be transmitted ii) minimizing the computational operations executed at any ...
Citació
Lalos, A.; Alonso, L.; Verikoukis, C. Model based compressed sensing reconstruction algorithms for ECG telemonitoring in WBANs. "Digital signal processing", 01 Desembre 2014, vol. 35, p. 105-116.
Paraules clau
Block sparsity, Compressed sensing, Real-time ECG monitoring, Recovery, Sparse signals, Wavelet, Wireless body area networks
Grup de recerca
WiComTec - Grup de recerca en Tecnologies i Comunicacions Sense Fils

Participants