NDLI: Fast ECG baseline wander removal preserving the ST segment

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Fast ECG baseline wander removal preserving the ST segment

Content Provider	ACM Digital Library
Author	Villani, Valeria Fasano, Antonio Vollero, Luca
Abstract	Baseline wander removal is an unavoidable preprocessing step in ECG signal analysis. Unfortunately, the in-band nature of this kind of noise makes its removal difficult without affecting ECG waveform, in particular the ST segment. This is a portion of the ECG with high clinical relevance, as it is related to the diagnosis of acute coronary syndromes. The ST segment is highly susceptible to distortion when baseline removal is performed affecting the low-frequency region of ECG spectrum, where are concentrated the harmonic components that mainly contribute to the shape of the ST segment. In this paper, we propose to tackle the problem of baseline removal from a different perspective, considering the quadratic variation as an alternative measure of variability not directly related to the frequency domain. In this regard, we recently proposed a novel baseline removal algorithm based on quadratic variation reduction. In this paper, we assess its performance with respect to the distortion of the ST segment comparing it to state-of-the-art algorithms. Simulation results confirm the effectiveness of the approach based on quadratic variation reduction. Our algorithm outperforms state-of-the-art algorithms tailored to minimize distortion of the ST segment. Moreover, it compares favorably also in terms of computational complexity, which is linear in the size of the vector to detrend. This makes it suitable also for real-time applications.
Starting Page	1
Ending Page	5
Page Count	5
File Format	PDF
ISBN	9781450309134
DOI	10.1145/2093698.2093754
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-10-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Baseline wander Ecg St segment Quadratic variation
Content Type	Text
Resource Type	Article

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