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CardioClinic

Data Science for the accurate analysis of ECG signals

 

Since 2016, CYBERnano has been working in collaboration with Banook company on different data science challenges in Cardiac Safety Assessment studies

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Automatic Delineation of 12 channels ECG

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Full morphologic analysis of ECG beating

 

 

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Analysis of Holter signals

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References:

[1] P. Guyot, E.-H. Djermoune, T. Bastogne, and B. Chenuel, “A single ECG lead-based oscillation index for the quantification of periodic breathing in severe heart failure patients,” in 27th European Signal Processing Conference, EUSIPCO 2019, (Coruna, Spain), Sept. 2019.
[2] P. Guyot, B. Chenuel, E.-H. Djermoune, and T. Bastogne, “Early detection of Cheyne-Stokes breathing via ECG-derived respiration in patients with severe heart failure: A pilot study,” in Proc of the 45-th Computing in Cardiology conference, (Maastricht, Netherlands), September 23-26 2018.
[3] P. Guyot, P. Voiriot, E. Djermoune, S. Papelier, C. Lessard, M. Felices, and T. Bastogne, “R-peak detection in holter ECG signals using non-negative matrix factorization,” in Proc of the 45-th Computing in Cardiology conference, (Maastricht, Netherlands), September 23-26 2018.
[4] P. Guyot, P. Voiriot, S. Papelier, L. Batista, and T. Bastogne, “A comparison of methods for delineation of wave boundaries in 12 Lead ECG,” in Proc of the SPS Annual Meeting, (Berlin, Germany), September 24-27 2017.

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Reference:

[1] L. Batista, Identification de systèmes dynamiques linéaires à effets mixtes – Applications aux dynamiques de populations cellulaires. PhD thesis, Université de Lorraine, Décembre 2017.

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morphoECG.png
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