Baseline wander removal is an unavoidable prepro- cessing step in ECG signal processing. The in-band nature of baseline wander makes its removal difficult without affecting ECG, 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. We have recently proposed a novel baseline removal algorithm based on the notion of quadratic variation reduction. In this paper, we shortly recall the rationale behind our approach and report main results of performance analysis of our algorithm versus state-of-the-art approaches. Simulation results confirm the effectiveness of the approach and highlight its ability to remove baseline wander while preserving the ST segment. The algorithm compares favorably also in terms of computational complexity, which is linear in the size of the vector to detrend. Eventually, it is worthwhile noting that its application is not limited to ECG, but can be effectively applied to a broader class of signals, such as EEG or EMG.

Fast and Effective Baseline Wander Estimation and Removal / Villani, Valeria. - (2012). (Intervento presentato al convegno Terzo Congresso del Gruppo Nazionale di Bioingegneria (GNB 2012) tenutosi a Rome (IT) nel Jun. 26-29, 2012).

Fast and Effective Baseline Wander Estimation and Removal

VILLANI, VALERIA
2012

Abstract

Baseline wander removal is an unavoidable prepro- cessing step in ECG signal processing. The in-band nature of baseline wander makes its removal difficult without affecting ECG, 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. We have recently proposed a novel baseline removal algorithm based on the notion of quadratic variation reduction. In this paper, we shortly recall the rationale behind our approach and report main results of performance analysis of our algorithm versus state-of-the-art approaches. Simulation results confirm the effectiveness of the approach and highlight its ability to remove baseline wander while preserving the ST segment. The algorithm compares favorably also in terms of computational complexity, which is linear in the size of the vector to detrend. Eventually, it is worthwhile noting that its application is not limited to ECG, but can be effectively applied to a broader class of signals, such as EEG or EMG.
2012
Terzo Congresso del Gruppo Nazionale di Bioingegneria (GNB 2012)
Rome (IT)
Jun. 26-29, 2012
Villani, Valeria
Fast and Effective Baseline Wander Estimation and Removal / Villani, Valeria. - (2012). (Intervento presentato al convegno Terzo Congresso del Gruppo Nazionale di Bioingegneria (GNB 2012) tenutosi a Rome (IT) nel Jun. 26-29, 2012).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1141754
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