Machine learning and IoT-based cardiac arrhythmia diagnosis using statistical and dynamic features of ECG
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s11227-019-02873-y.pdf
Reference15 articles.
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2. Rad AB, Eftestøl T, Engan K, Irusta U, Kvaly JT, Kramer-Johansen J, Wik L, Katsaggelos AK (2017) ECG-based classification of resuscitation cardiac rhythms for retrospective data analysis. IEEE Trans Biomed Eng 64(10):2411–2418
3. Escalona-Moran MA, Soriano MC, Ingo F, Mirasso CR (2015) Electrocardiogram classification using reservoir computing with logistic regression. IEEE J Biomed Health Inform 19(3):892–898
4. Gutta S, Cheng Q (2016) Joint feature extraction and classifier design for ECG-based biometric recognition. IEEE J Biomed Health Informat 20(2):460–468
5. Trace BH, Miller EL (2012) Nonlocal means denoising of ECG signals. IEEE Trans Biomed Eng 59(9):2383–2386
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