Title :
Digital pacer detection in diagnostic grade ECG
Author :
Shoaib, Mohammed ; Garudadri, H.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
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.
Keywords :
body sensor networks; electrocardiography; medical signal processing; pacemakers; patient diagnosis; ECG signal; QRS detectors; beat segmentation; cardiac pacemaker; compressed sensing; diagnostic grade; digital pacer detection; low-amplitude spikes; narrow spikes; wireless body sensor network; Correlation; Detectors; Electrocardiography; Reactive power; Reliability; Signal to noise ratio;
Conference_Titel :
e-Health Networking Applications and Services (Healthcom), 2011 13th IEEE International Conference on
Conference_Location :
Columbia, MO
Print_ISBN :
978-1-61284-695-8
Electronic_ISBN :
978-1-61284-696-5
DOI :
10.1109/HEALTH.2011.6026773
