Compressed Sensing (CS) has recently emerged as an effective way to simultaneously acquire, compress and possibly encrypt incoming signals in low-resource sensing devices. We here show that CS can be suitably exploited to add disturbance rejection properties, similar to those which are classically obtained by means of suitably designed and deployed signal conditioning stages. This may render such additional stages unnecessary and therefore substantial decrease both system complexity and energy requirements. An example dealing with electrocardiographic signals is developed in which the classical base-line and power-line disturbances are almost entirely rejected with no need of ad-hoc filters.

Marchioni, A., Mangia, M., Pareschi, F., Rovatti, R., Setti, G. (2018). Disturbance Rejection with Rakeness-based Compressed Sensing: Method and Application to Baseline/Powerline Mitigation in ECGs. Institute of Electrical and Electronics Engineers Inc. [10.1109/ISCAS.2018.8351170].

Disturbance Rejection with Rakeness-based Compressed Sensing: Method and Application to Baseline/Powerline Mitigation in ECGs

Marchioni, Alex;Mangia, Mauro;Pareschi, Fabio;Rovatti, Riccardo;Setti, Gianluca
2018

Abstract

Compressed Sensing (CS) has recently emerged as an effective way to simultaneously acquire, compress and possibly encrypt incoming signals in low-resource sensing devices. We here show that CS can be suitably exploited to add disturbance rejection properties, similar to those which are classically obtained by means of suitably designed and deployed signal conditioning stages. This may render such additional stages unnecessary and therefore substantial decrease both system complexity and energy requirements. An example dealing with electrocardiographic signals is developed in which the classical base-line and power-line disturbances are almost entirely rejected with no need of ad-hoc filters.
2018
Proceedings - IEEE International Symposium on Circuits and Systems
1
5
Marchioni, A., Mangia, M., Pareschi, F., Rovatti, R., Setti, G. (2018). Disturbance Rejection with Rakeness-based Compressed Sensing: Method and Application to Baseline/Powerline Mitigation in ECGs. Institute of Electrical and Electronics Engineers Inc. [10.1109/ISCAS.2018.8351170].
Marchioni, Alex; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/656864
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 0
social impact