Compressed sensing of multi-lead ECG signals by compressive multiplexing

Abstract: Compressed Sensing has recently been proposed for efficient data compression of multi-lead electrocardiogram recordings within ambulatory patient monitoring applications, e.g. wireless body sensor networks. However, current approaches only focus on signal reconstruction and do not consider the efficient compression of signal ensembles. In this work, we propose the utilization of a compressive multiplexing architecture that facilitates an efficient implementation of hardware compressed sensing for multi-lead ECG signals. For the reconstruction of ECG signal ensembles, we employ an greedy algorithm that exploits their joint sparsity structure. Our simulative study shows promising results which motivate further research in the field of compressive multiplexing for the acquisition multi-lead ECG signals.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Compressed sensing of multi-lead ECG signals by compressive multiplexing ; volume:1 ; number:1 ; year:2015 ; pages:65-68 ; extent:4
Current directions in biomedical engineering ; 1, Heft 1 (2015), 65-68 (gesamt 4)

Urheber
Tigges, Timo
Sarikas, Janis
Klum, Michael
Orglmeister, Reinhold

DOI
10.1515/cdbme-2015-0017
URN
urn:nbn:de:101:1-2410141630094.717746622073
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:33 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Beteiligte

  • Tigges, Timo
  • Sarikas, Janis
  • Klum, Michael
  • Orglmeister, Reinhold

Ähnliche Objekte (12)