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Sibasankar Padhy
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2010 – 2019
- 2019
- [j4]Griet Goovaerts
, Sibasankar Padhy
A Machine-Learning Approach for Detection and Quantification of QRS Fragmentation. IEEE J. Biomed. Health Informatics 23(5): 1980-1989 (2019) - 2018
- [j3]Sibasankar Padhy, Samarendra Dandapat:
Validation of μ-volt T-wave alternans analysis using multiscale analysis-by-synthesis and higher-order SVD. Biomed. Signal Process. Control. 40: 171-179 (2018) - [c4]Simon Geirnaert
Tensor-basedECG Signal Processing Applied to Atrial Fibrillation Detection. ACSSC 2018: 799-805 - [c3]Amalia Villa Gómez, Sibasankar Padhy, Rik Willems
Variational Mode Decomposition Features for Heartbeat Classification. CinC 2018: 1-4 - [c2]Griet Goovaerts, Sibasankar Padhy, Carolina Varon, Bert Vandenberk, Rik Willems
Risk Assessment of All-Cause Mortality in Patients with an Implantable Cardioverter Defibrillator Using a Novel QRS Fragmentation Score. CinC 2018: 1-4 - 2017
- [j2]Sibasankar Padhy
Third-order tensor based analysis of multilead ECG for classification of myocardial infarction. Biomed. Signal Process. Control. 31: 71-78 (2017) - 2016
- [j1]Sibasankar Padhy
Multilead ECG data compression using SVD in multiresolution domain. Biomed. Signal Process. Control. 23: 10-18 (2016) - 2014
- [c1]Sibasankar Padhy
A new multilead ECG data compression method using Higher-Order Singular Value Decomposition. NCC 2014: 1-4
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