Classification of cardiac arrhythmias using Zhao-Atlas-Marks time-frequency distribution
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-10945-6.pdf
Reference45 articles.
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3. Akdeniz F, Kayikçioğlu İ, Kaya İ, Kayikçioğlu T (2016) Using Wigner-Ville distribution in ECG arrhythmia detection for telemedicine applications. In: 2016 39th international conference on telecommunications and signal processing (TSP), pp. 409-412. IEEE.
4. Alqudah AM, Albadarneh A, Abu-Qasmieh I, Alquran H (2019) Developing of robust and high accurate ECG beat classification by combining Gaussian mixtures and wavelets features. Austr phys eng sci med 42(1):149–157
5. Amorim P, Moraes T, Fazanaro D, Silva J, Pedrini H (2018) Shearlet and contourlet transforms for analysis of electrocardiogram signals. Comput Methods Prog Biomed 161:125–132
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