dc.contributor.author | Altan, Gökhan | |
dc.contributor.author | Allahverdi, Novruz | |
dc.contributor.author | Kutlu, Yakup | |
dc.date.accessioned | 12.07.201910:50:10 | |
dc.date.accessioned | 2019-07-12T22:02:50Z | |
dc.date.available | 12.07.201910:50:10 | |
dc.date.available | 2019-07-12T22:02:50Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Altan, G., Allahverdi, N., Kutlu, Y. (2018). A Multistage Deep Learning Algorithm for Detecting Arrhythmia. 1st International Conference on Computer Applications and Information Security, ICCAIS 2018, art. no. 8441942.
https://doi.org/10.1109/CAIS.2018.8441942 | en_US |
dc.identifier.uri | https://doi.org/10.1109/CAIS.2018.8441942 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12508/473 | |
dc.description | 1st International Conference on Computer Applications and Information Security, ICCAIS 2018 -- 4 April 2018 through 6 April 2018 -- -- 138933 | en_US |
dc.description.abstract | Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised and supervised training. Arrhythmia is a cardiac irregularity caused by a problem of the heart. In this study, a multi-stage DBN classification is proposed for achieving the efficiency of the DBN on arrhythmia disorders. Heartbeats from the MIT-BIH Arrhythmia database are classified into five groups which are recommended by AAMI. The Wavelet packet decomposition, higher order statistics, morphology and Discrete Fourier transform techniques were utilized to extract features. The classification performances of the DBN are 94.15%, 92.64%, and 93.38%, for accuracy, sensitivity, and selectivity, respectively. © 2018 IEEE. | en_US |
dc.description.sponsorship | Acknowledgment N.Allahverdi thanks the KTO Karatay University for its support of this work. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.relation.isversionof | 10.1109/CAIS.2018.8441942 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Arrhythmia | en_US |
dc.subject | Deep Belief Network | en_US |
dc.subject | Deep learning | en_US |
dc.subject | ECG | en_US |
dc.subject.classification | Computer Science | en_US |
dc.subject.classification | Information Systems | en_US |
dc.subject.classification | Computer Science | en_US |
dc.subject.classification | Interdisciplinary Applications | en_US |
dc.subject.classification | Heart Arrhythmia | Electrocardiograph | Supraventricular Premature Beat | en_US |
dc.subject.other | ECG arrhythmia | en_US |
dc.subject.other | Neural-network | en_US |
dc.subject.other | Classification | en_US |
dc.subject.other | Recognition | en_US |
dc.subject.other | Morphology | en_US |
dc.subject.other | Mixture | en_US |
dc.subject.other | PCA | en_US |
dc.subject.other | Bayesian networks | en_US |
dc.subject.other | Discrete fourier transforms | en_US |
dc.subject.other | Diseases | en_US |
dc.subject.other | Electrocardiography | en_US |
dc.subject.other | Higher order statistics | en_US |
dc.subject.other | Learning algorithms | en_US |
dc.subject.other | Security of data | en_US |
dc.subject.other | Wavelet decomposition | en_US |
dc.subject.other | Classification performance | en_US |
dc.subject.other | Deep belief network (DBN) | en_US |
dc.subject.other | Deep belief networks | en_US |
dc.subject.other | Layer-wise | en_US |
dc.subject.other | Multi stage | en_US |
dc.subject.other | Supervised trainings | en_US |
dc.subject.other | Wavelet packet decomposition | en_US |
dc.title | A Multistage Deep Learning Algorithm for Detecting Arrhythmia | en_US |
dc.type | conferenceObject | en_US |
dc.relation.journal | 1st International Conference on Computer Applications and Information Security, ICCAIS 2018 | en_US |
dc.contributor.department | Mühendislik ve Doğa Bilimleri Fakültesi -- Bilgisayar Mühendisliği Bölümü | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.contributor.isteauthor | Altan, Gökhan | en_US |
dc.contributor.isteauthor | Kutlu, Yakup | en_US |
dc.relation.index | Web of Science - Scopus | en_US |
dc.relation.index | Web of Science Core Collection - Conference Proceedings Citation Index- Science | en_US |