Atrial fibrillation is the most common arrhythmia encountered in clinical practice. Abnormal P-waves have been observed in patients prone to AF and the analysis of P-waves from surface electrocardiogram has been extensively used to identify patients prone to atrial arrhythmias. Measuring the temporal variability of P- waves, i.e., the variation over time of morphological characteristics of single P-waves, may represent a useful method for characterizing and predicting AF cases. In this paper, we propose a method for the statistical analysis of P-waves variability. It is based on the evaluation of the empirical distribution function of differences energy among normalized P-waves. The proposed method seems promising for capturing atrial anomalies and identifying patients prone to AF.

Measuring P-wave morphological variability for AF-prone patients identification / Villani, Valeria; Fasano, Antonio; Vollero, Luca; Censi, Federica; Boriani, Giuseppe. - (2011), pp. 481-484. (Intervento presentato al convegno International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2011 tenutosi a Rome, ita nel Jan. 26-29, 2011) [10.5220/0003164204810484].

Measuring P-wave morphological variability for AF-prone patients identification

Villani, Valeria;Boriani, Giuseppe
2011

Abstract

Atrial fibrillation is the most common arrhythmia encountered in clinical practice. Abnormal P-waves have been observed in patients prone to AF and the analysis of P-waves from surface electrocardiogram has been extensively used to identify patients prone to atrial arrhythmias. Measuring the temporal variability of P- waves, i.e., the variation over time of morphological characteristics of single P-waves, may represent a useful method for characterizing and predicting AF cases. In this paper, we propose a method for the statistical analysis of P-waves variability. It is based on the evaluation of the empirical distribution function of differences energy among normalized P-waves. The proposed method seems promising for capturing atrial anomalies and identifying patients prone to AF.
2011
International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2011
Rome, ita
Jan. 26-29, 2011
481
484
Villani, Valeria; Fasano, Antonio; Vollero, Luca; Censi, Federica; Boriani, Giuseppe
Measuring P-wave morphological variability for AF-prone patients identification / Villani, Valeria; Fasano, Antonio; Vollero, Luca; Censi, Federica; Boriani, Giuseppe. - (2011), pp. 481-484. (Intervento presentato al convegno International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2011 tenutosi a Rome, ita nel Jan. 26-29, 2011) [10.5220/0003164204810484].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1141776
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