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Erschienen in:
Review of Elasticsearch Performance Variating the Indexing Methods Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

An \({\ell _1}\)-Norm Based Optimization Approach for Power Line Interference Removal in ECG Signals

verfasst von : Neethu Mohan, S. Sachin Kumar, K. P. Soman

Erschienen in: Progress in Intelligent Computing Techniques: Theory, Practice, and Applications

Verlag: Springer Singapore

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Abstract

Accurate analysis and proper interpretation of electrophysical recordings like ECG is a real necessity in medical diagnosis. Presence of artifacts and other noises can corrupt the ECG signals and can lead to an improper disease diagnosis. Power line interferences (PLI) occurring at 50/60 Hz is a major source of noises which could corrupt the ECG signals. This motivates the removal of PLI from ECG signals and is a foremost preprocessing task in ECG signal analysis. In this paper, we deal an \({\ell _1}\) norm based optimization approach for PLI removal in ECG signals. The sparsity inducing property of \({\ell _1}\) norm is used for efficient removal of power noises. The effectiveness of this approach is evaluated on ECG signals corrupted with power line interferences and random noises.

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Vorheriges Kapitel Development of 3D FULL HD Endoscope Capable of Scaling View of the Selected Region
Nächstes Kapitel Exploration of Many-Objective Feature Selection for Recognition of Motor Imagery Tasks
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Metadaten
Titel
An -Norm Based Optimization Approach for Power Line Interference Removal in ECG Signals
verfasst von
Neethu Mohan
S. Sachin Kumar
K. P. Soman
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Progress in Intelligent Computing Techniques: Theory, Practice, and Applications

Print ISBN: 978-981-10-3375-9

Electronic ISBN: 978-981-10-3376-6

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-10-3376-6_35