Compression of ECG Signals Using Long Short-Term Memory based Sequence-to-Sequence Autoencoder
dc.authorid | 0000-0001-9213-576X | en_US |
dc.contributor.author | Aydemir, Gürkan | |
dc.contributor.author | Bekiryazıcı, Tahir | |
dc.contributor.author | Gürkan, Hakan | |
dc.date.accessioned | 2021-03-20T20:26:50Z | |
dc.date.available | 2021-03-20T20:26:50Z | |
dc.date.issued | 2020 | |
dc.department | BTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümü | en_US |
dc.description | 28th Signal Processing and Communications Applications Conference, SIU 2020 -- 5 October 2020 through 7 October 2020 -- -- 166413 | en_US |
dc.description.abstract | This study proposes a novel long short-term memory based sequence-to-sequence autoencoder model to compress ECG signals. The efficiency of this new method is illustrated on MIT-BIH Arrhythmia dataset. In the conducted experiments, the proposed architecture achieves %21.14 mean-independent percentage mean square difference (MPRD) with a constant compression ratio value of 33 : 1. © 2020 IEEE. | en_US |
dc.identifier.doi | 10.1109/SIU49456.2020.9302503 | en_US |
dc.identifier.isbn | 9781728172064 | |
dc.identifier.scopus | 2-s2.0-85100318674 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.uri | http://doi.org/10.1109/SIU49456.2020.9302503 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12885/1284 | |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Aydemir, Gürkan | |
dc.language.iso | tr | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | data compression | en_US |
dc.subject | deep learning | en_US |
dc.subject | ECG signals | en_US |
dc.subject | long short-term memory networks | en_US |
dc.subject | sequence-tosequence autoencoders | en_US |
dc.title | Compression of ECG Signals Using Long Short-Term Memory based Sequence-to-Sequence Autoencoder | en_US |
dc.title.alternative | Uzun Kisa-Sureli Bellek Tabanli Diziden Diziye Otokodlayici Kullanarak EKG Isaretlerinin Sikistirilmasi | en_US |
dc.type | Conference Object | en_US |