@inproceedings{zarar2011digital,
author = {Zarar, Shuayb and Garudadri, Harinath},
title = {Digital Pacer Detection in Diagnostic Grade ECG},
booktitle = {IEEE Int. Conf. E-Health Networking Applications and Services (Healthcomm)},
year = {2011},
month = {June},
abstract = {Pulses from a cardiac pacemaker appear as extremely narrow and low- amplitude spikes in an ECG. These get misinterpreted for R-peaks by QRS detectors, leading to subsequent faulty analysis of several algorithms which rely on beat-segmentation. Detection of the pacer pulses, thus, necessitates sampling the ECG signal at high data rates of 4-16 kHz. In a wireless body sensor network, transmission of this high-bandwidth data to a processing gateway, for pacer detection, is extremely power consuming. In this paper, we describe a compressed sensing approach, which enables reliable detection of AAMI/EC11 specified pacer pulses using ECG data rates of 50-100 sps, an order of magnitude smaller than those used in typical detection algorithms in the literature.},
publisher = {IEEE - Institute of Electrical and Electronics Engineers},
url = {http://approjects.co.za/?big=en-us/research/publication/digital-pacer-detection-diagnostic-grade-ecg/},
pages = {326-331},
note = {Best-paper Award Nomination},
}