A novel hybrid electrocardiogram signal compression algorithm with low bit-rate
dc.authorid | 0000-0002-7008-4778 | |
dc.authorid | 0000-0002-4597-0954 | |
dc.authorid | 0000-0002-7008-4778 | en_US |
dc.authorid | 0000-0002-4597-0954 | en_US |
dc.contributor.author | Gürkan, Hakan | en_US |
dc.contributor.author | Güz, Ümit | en_US |
dc.contributor.author | Yarman, Bekir Sıddık Binboğa | en_US |
dc.date.accessioned | 2019-08-31T12:10:23Z | |
dc.date.accessioned | 2019-08-05T16:04:59Z | |
dc.date.available | 2019-08-31T12:10:23Z | |
dc.date.available | 2019-08-05T16:04:59Z | |
dc.date.issued | 2010 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Electrical-Electronics Engineering | en_US |
dc.description.abstract | In this paper, a novel hybrid Electrocardiogram (ECG) signal compression algorithm based on the generation process of the Variable-Length Classified Signature and Envelope Vector Sets (VL-CSEVS) is proposed. Assessment results reveal that the proposed algorithm achieves high compression ratios with low level reconstruction error while preserving diagnostic information in the reconstructed ECG signal. The proposed algorithm also slightly outperforms others for the same test dataset. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Gürkan, H., Güz, Ü. & Yarman, B. S. B. (2010). A novel hybrid electrocardiogram signal compression algorithm with low bit-rate. Paper presented at the Lecture Notes in Electrical Engineering, 62, 95-98. doi:10.1007/978-90-481-9794-1_19 | en_US |
dc.identifier.doi | 10.1007/978-90-481-9794-1_19 | |
dc.identifier.endpage | 98 | |
dc.identifier.issn | 1876-1100 | en_US |
dc.identifier.scopus | 2-s2.0-78651573459 | en_US |
dc.identifier.scopusquality | Q4 | en_US |
dc.identifier.startpage | 95 | |
dc.identifier.uri | https://hdl.handle.net/11729/1961 | |
dc.identifier.uri | https://dx.doi.org/10.1007/978-90-481-9794-1_19 | |
dc.identifier.volume | 62 | |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Gürkan, Hakan | en_US |
dc.institutionauthor | Güz, Ümit | en_US |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Lecture Notes in Electrical Engineering | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Bit rates | en_US |
dc.subject | Classified and envelope vector sets | en_US |
dc.subject | Data sets | en_US |
dc.subject | Data compression | en_US |
dc.subject | Diagnostic information | en_US |
dc.subject | ECG segmentation | en_US |
dc.subject | ECG signals | en_US |
dc.subject | Electrocardiogram | en_US |
dc.subject | Electrocardiogram signal | en_US |
dc.subject | Electrocardiography | en_US |
dc.subject | Electrochromic devices | en_US |
dc.subject | Energy based ECG segmentation | en_US |
dc.subject | Generation process | en_US |
dc.subject | High compression ratio | en_US |
dc.subject | Information science | en_US |
dc.subject | Low level | en_US |
dc.subject | Reconstruction error | en_US |
dc.subject | Signal compression | en_US |
dc.subject | Statistical tests | en_US |
dc.title | A novel hybrid electrocardiogram signal compression algorithm with low bit-rate | en_US |
dc.type | Conference Object | en_US |
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