Scattering Transform of Heart Rate Variability for the Prediction of Ischemic Stroke in Patients with Atrial Fibrillation

Roberto Leonarduzzi (1) , Patrice Abry (1) , Herwig Wendt (2, 3) , Ken Kiyono (4) , Yoshiharu Yamamoto (5) , Eiichi Watanabe (6) , Junichiro Hayano (7)

1 Phys-ENS - Laboratoire de Physique de l'ENS Lyon
2 IRIT-SC - Signal et Communications
3 CNRS - Centre National de la Recherche Scientifique
4 Osaka University [Osaka]
5 UTokyo - The University of Tokyo
6 Fujita Health University
7 Nagoya City University [Nagoya, Japan]

Atrial fibrillation is an identified risk factor for ischemic strokes. Thus, the dynamics of heart rate under fibrillation might provide a useful predictor for strokes. The complex, nonlinear and multiscale nature of the heart rate calls for the use of powerful signal processing techniques. We explored the application of a novel tool, the scattering transform, to discriminate and predict ischemic strokes from heart rate dynamics. We found that groups of scattering coefficients, at several time scales, were significantly higher (p-value < 0.05) in patients who developed ischemic strokes than in those who did not. We also found significant differences in predictive power (C-statistic) between scattering coefficients and the CHA2 DS2-VASc score. Results suggest the use of scattering coefficients for the analysis of patients with atrial fibrillation.

Mots clés: Atrial fibrillation; Ischemic stroke; Heart rate variability; Scattering transform; Multiscale analysis

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Intelligence artificielle [cs.AI]

Roberto Leonarduzzi, Patrice Abry, Herwig Wendt, Ken Kiyono, Yoshiharu Yamamoto, et al.. Scattering Transform of Heart Rate Variability for the Prediction of Ischemic Stroke in Patients with Atrial Fibrillation. 8th International Workshop Biosignal Interpretation (BSI 2016), International Medical Informatics Association (IMIA); International Federation for Medical and Biological Engineering (IFMBE); IEEE Engineering in Medicine and Biology Society (EMBS); Japanese Society for Medical and Biological Engineering (JSMBE); Society of Instrument and Control Engineers (SICE), Nov 2016, Osaka, Japan. pp.2-5. ⟨hal-01726417⟩