Beat-to-beat detection of His-Purkinje system signals using adaptive filters

Al-Nashash, H. A. M., Kelly, Stephen W., Taylor, D. J. E. (1988) Beat-to-beat detection of His-Purkinje system signals using adaptive filters. Medical & Biological Engineering & Computing, 26 (2). pp. 117-125. ISSN 0140-0118. E-ISSN 1741-0444. (doi:10.1007/BF02442252) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
http://dx.doi.org/10.1007/BF02442252

Abstract

Noninvasive techniques to record the activation wave from the His-Purkinje system have so far depended largely on signal averaging. Although this approach produces representative signals, any beat-to-beat variations are removed by the averaging process. These beat-to-beat variations are important in the diagnosis of many heart abnormalities, particularly arrhythmias. The paper describes an experimental system which can detect His-Purkinje system electrograms at the body surface while preserving beat-to-beat variations. The system uses a number of different techniques, but an important feature is the use of an adaptive filter to reduce additive noise. The experimental system is not real-time, as the adaptive filtering is performed offine using software, but a real-time hardware implementation is quite feasible. The system's ability to detect beat-to-beat variations has produce a number of interesting results, which are discussed. These include a cyclic variation in a normal subject, believed to be due to the modulating effects of breathing, and signals from a patient suffering from second degree A-V block.

Item Type: Article
DOI/Identification number: 10.1007/BF02442252
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 26 Mar 2015 14:39 UTC
Last Modified: 29 May 2019 14:22 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/47794 (The current URI for this page, for reference purposes)
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