Automated diagnosis of tachycardia beats

Usha Desai, C. Gurudas Nayak, G. Seshikala, Roshan J. Martis, Steven L. Fernandes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Due to tachycardia, heart generates lethal arrhythmia beats namely atrial flutter (AFL), atrial fibrillation (A-Fib), and ventricular fibrillation (V-Fib). These irregular patterns are very effectively and noninvasively reflected using standard electrocardiogram (ECG). In this study, an automated diagnosis support system (DSS) is developed for accurate discrimination and classification of complete classes of tachycardia beats (atrial as well as ventricular) using higher-order spectra (HOS). In this multiclass diagnosis problem, dimensionality of HOS third-order cumulants is reduced using independent component analysis (ICA) and fed for standard hypothesis test ANOVA (p < 0.05). Finally, statistical significant components are subjected for ensemble classification using random forest (RAF) and rotation forest (ROF) classifiers and to realize best performance tenfold classification is performed. Further, the consistency of classifiers is assessed using Cohen’s kappa matric. Proposed DSS achieved overall classification accuracy of 99.54% using ROF. Our reported results are highest than published in the earlier works.

Original languageEnglish
Title of host publicationSmart Computing and Informatics - Proceedings of the 1st International Conference on SCI 2016
PublisherSpringer Science and Business Media Deutschland GmbH
Pages421-429
Number of pages9
ISBN (Print)9789811055430
DOIs
Publication statusPublished - 01-01-2018
Event1st International Conference on Smart Computing and Informatics, SCI 2016 - Visakhapatnam, India
Duration: 03-03-201704-03-2017

Publication series

NameSmart Innovation, Systems and Technologies
Volume77
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference1st International Conference on Smart Computing and Informatics, SCI 2016
CountryIndia
CityVisakhapatnam
Period03-03-1704-03-17

Fingerprint

Classifiers
Independent component analysis
Analysis of variance (ANOVA)
Electrocardiography
Classifier
Atrial fibrillation
Discrimination
Dimensionality
Hypothesis test
Fibrillation
Analysis of variance
Cumulants

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Computer Science(all)

Cite this

Desai, U., Nayak, C. G., Seshikala, G., Martis, R. J., & Fernandes, S. L. (2018). Automated diagnosis of tachycardia beats. In Smart Computing and Informatics - Proceedings of the 1st International Conference on SCI 2016 (pp. 421-429). (Smart Innovation, Systems and Technologies; Vol. 77). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-10-5544-7_41
Desai, Usha ; Nayak, C. Gurudas ; Seshikala, G. ; Martis, Roshan J. ; Fernandes, Steven L. / Automated diagnosis of tachycardia beats. Smart Computing and Informatics - Proceedings of the 1st International Conference on SCI 2016. Springer Science and Business Media Deutschland GmbH, 2018. pp. 421-429 (Smart Innovation, Systems and Technologies).
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Desai, U, Nayak, CG, Seshikala, G, Martis, RJ & Fernandes, SL 2018, Automated diagnosis of tachycardia beats. in Smart Computing and Informatics - Proceedings of the 1st International Conference on SCI 2016. Smart Innovation, Systems and Technologies, vol. 77, Springer Science and Business Media Deutschland GmbH, pp. 421-429, 1st International Conference on Smart Computing and Informatics, SCI 2016, Visakhapatnam, India, 03-03-17. https://doi.org/10.1007/978-981-10-5544-7_41

Automated diagnosis of tachycardia beats. / Desai, Usha; Nayak, C. Gurudas; Seshikala, G.; Martis, Roshan J.; Fernandes, Steven L.

Smart Computing and Informatics - Proceedings of the 1st International Conference on SCI 2016. Springer Science and Business Media Deutschland GmbH, 2018. p. 421-429 (Smart Innovation, Systems and Technologies; Vol. 77).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Desai U, Nayak CG, Seshikala G, Martis RJ, Fernandes SL. Automated diagnosis of tachycardia beats. In Smart Computing and Informatics - Proceedings of the 1st International Conference on SCI 2016. Springer Science and Business Media Deutschland GmbH. 2018. p. 421-429. (Smart Innovation, Systems and Technologies). https://doi.org/10.1007/978-981-10-5544-7_41