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QRS detection algorithm for long term Holter records

Published:28 June 2013Publication History

ABSTRACT

In this paper an exact QRS detection algorithm of Holter electrocardiogram signals using Wavelet Transform is present. The orthogonal wavelet functions -- Haar and Daubechies -- is studied and compared. Analysis is carried out using Visual C++ Software. The results show that the described algorithm provides excellent QRS detection even if the signals are contaminated with noises. The presented algorithm is less computationally involved. This makes it ideal for wide range of diagnostic applications, especially for real-time Holter monitoring.

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  1. QRS detection algorithm for long term Holter records

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      • Published in

        cover image ACM Other conferences
        CompSysTech '13: Proceedings of the 14th International Conference on Computer Systems and Technologies
        June 2013
        365 pages
        ISBN:9781450320214
        DOI:10.1145/2516775

        Copyright © 2013 ACM

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        Publication History

        • Published: 28 June 2013

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        CompSysTech '13 Paper Acceptance Rate42of89submissions,47%Overall Acceptance Rate241of492submissions,49%

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