A window-based time series feature extraction method

Simple item page
dc.citation.epage486en_US
dc.citation.spage466en_US
dc.citation.volumeNumber89en_US
dc.contributor.authorKatircioglu-Öztürk, D.en_US
dc.contributor.authorGüvenir, H. A.en_US
dc.contributor.authorRavens, U.en_US
dc.contributor.authorBaykal, N.en_US
dc.date.accessioned2018-04-12T11:12:43Z
dc.date.available2018-04-12T11:12:43Z
dc.date.issued2017en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractThis study proposes a robust similarity score-based time series feature extraction method that is termed as Window-based Time series Feature ExtraCtion (WTC). Specifically, WTC generates domain-interpretable results and involves significantly low computational complexity thereby rendering itself useful for densely sampled and populated time series datasets. In this study, WTC is applied to a proprietary action potential (AP) time series dataset on human cardiomyocytes and three precordial leads from a publicly available electrocardiogram (ECG) dataset. This is followed by comparing WTC in terms of predictive accuracy and computational complexity with shapelet transform and fast shapelet transform (which constitutes an accelerated variant of the shapelet transform). The results indicate that WTC achieves a slightly higher classification performance with significantly lower execution time when compared to its shapelet-based alternatives. With respect to its interpretable features, WTC has a potential to enable medical experts to explore definitive common trends in novel datasets. © 2017 Elsevier Ltden_US
dc.description.provenanceMade available in DSpace on 2018-04-12T11:12:43Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2017en
dc.identifier.doi10.1016/j.compbiomed.2017.08.011en_US
dc.identifier.issn0010-4825
dc.identifier.urihttp://hdl.handle.net/11693/37413
dc.language.isoEnglishen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.compbiomed.2017.08.011en_US
dc.source.titleComputers in Biology and Medicineen_US
dc.subjectAtrial fibrillationen_US
dc.subjectCardiac action potentialen_US
dc.subjectElectrocardiographyen_US
dc.subjectFeature extractionen_US
dc.subjectMyocardial infarctionen_US
dc.subjectTime series analysisen_US
dc.titleA window-based time series feature extraction methoden_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A window-based time series feature extraction method.pdf
Size:
4.15 MB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download

Collections

Scholarly Publications - Computer Engineering