A novel fetal ECG signal compression method: Variance and neighboring based data compression

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dc.authorid0000-0003-1840-9958
dc.contributor.authorArıcan, Murat
dc.contributor.authorPolat, Kemal
dc.date.accessioned2021-06-23T18:51:31Z
dc.date.available2021-06-23T18:51:31Z
dc.date.issued2018
dc.departmentBAİBÜ, Lisansüstü Eğitim Enstitüsü, Fen Bilimleri, Elektrik Elektronik Mühendisliği Ana Bilim Dalıen_US
dc.descriptionAselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netasen_US
dc.description26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780en_US
dc.description.abstractGraphs of ECG signals in time domain have an important place in the diagnosis of heart diseases. ECG (fetal ECG-FECG) signals from fetuses also reveal heart problems, particularly changes in ST interval, that the baby experiences before birth. The rapid, reliable and cost-effective transmission of health data through telemedicine applications is increasing when the distance between health service providers and health care providers increases. In this work, a new method for compressing FECG signals received from the PhysioNet database is proposed. This proposed method is variance and neighborhood based data compression (VNBDC) algorithm. In the signal compression, the FECG signals were divided into 5 ms, 10 ms, and 20 ms segments. Then, the column-based variances of each segmented FECG signal were calculated. Differences between binary adjacent variance values were calculated through the column and then a threshold value was determined by averaging these differences between them. In the FECG signal, the variances of adjacent distributions on a column basis were compared with this threshold value, and those larger than this threshold value were discarded and the signal was compressed by removing similar columns. In the study, a non-interference fetal ECG database was used and it was observed that there was not a significant change (mean change 0.05%) in the time domain features of FECG signals compressed with raw FECG signal, while a compression of approximately 20% to 40% was obtained in the end result. Based on the results obtained, this proposed compression method has been shown to be safely used in biotelemetry systems. © 2018 IEEE.en_US
dc.description.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404158
dc.identifier.doi10.1109/SIU.2018.8404158
dc.identifier.endpage4en_US
dc.identifier.isbn9781538615010
dc.identifier.scopus2-s2.0-85050827143en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2018.8404158
dc.identifier.urihttps://hdl.handle.net/20.500.12491/3839
dc.identifier.wosWOS:000511448500011en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorPolat, Kemal
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof26th IEEE Signal Processing and Communications Applications Conference, SIU 2018en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCompressingen_US
dc.subjectECGen_US
dc.subjectFetal ECG (FECG)en_US
dc.subjectTelemedicineen_US
dc.subjectVariance and Neighboring Based Data Compression (VNBDC)en_US
dc.subjectSıkıştırma
dc.subjectVaryans ve Komşuluk Tabanlı Veri Sıkıştırma
dc.titleA novel fetal ECG signal compression method: Variance and neighboring based data compressionen_US
dc.typeConference Objecten_US

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