Detection of RR Interval Alterations in ECG Signals by Using First Order Fractional Filter

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dc.authoridKavuran, Gurkan/0000-0003-2651-5005
dc.authoridAlagoz, Baris Baykant/0000-0001-5238-6433
dc.authoridYeroglu, Celaleddin/0000-0002-6106-2374
dc.authoridATES, Abdullah/0000-0002-4236-6794
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.authorwosidKavuran, Gurkan/S-6935-2016
dc.authorwosidAlagoz, Baris Baykant/ABG-8526-2020
dc.authorwosidATES, Abdullah/V-6929-2018
dc.contributor.authorAlagoz, Baris Baykant
dc.contributor.authorYeroglu, Celaleddin
dc.contributor.authorKavuran, Gurkan
dc.contributor.authorAtes, Abdullah
dc.date.accessioned2024-08-04T20:57:36Z
dc.date.available2024-08-04T20:57:36Z
dc.date.issued2016
dc.departmentİnönü Üniversitesien_US
dc.description39th International Conference on Telecommunications and Signal Processing (TSP) -- JUN 27-29, 2016 -- Vienna, AUSTRIAen_US
dc.description.abstractSleep apnea syndrome deteriorates sleeping quality and daily performance of many individuals. This study presents utilization of fractional-order low pass filtering for the detection of RR interval alteration from electrocardiogram (ECG) signals. In the case of sleeping apnea, cardiac interbeat intervals prolong and it is viewed as an indication of obstructive sleep apnea state. The prolonged interbeat intervals manifest themselves as the decrease of R peak frequency (increase of RR intervals) in ECG signals. It results in shifting of spectral components composing R peaks towards lower frequencies in energy signal of ECG. In order to detect prolonging interbeat intervals, energy signal calculated from ECG is applied to low-pass fractional-order filter. Transition band of the low-pass filter is used as a ramp filter in order to detect frequency variations in the energy of R peaks. We compare results of the first order fractional-order and integer order low-pass filters and demonstrate that the fractional-order filter can improve the detection performance of low-pass filtering by modifying transition band slope of low-pass filters.en_US
dc.description.sponsorshipIEEE Reg 8,IEEE Austria Sect,IEEE Czechoslovakia Sect,IEEE Czechoslovakia Sect SP CAS COM Joint Chapter,IEEE Croatia Sect, Communicat Chapter,Brno Univ Technol, Dept Telecommunicat,Budapest Univ Technol & Econ, Dept Telecommunicat & Media Informat,Karadeniz Tech Univ, Dept Elect & Elect Engn,W Pomeranian Univ Technol, Fac Elect Engn,VSB Tech Univ Ostrava, Dept Telecommunicat,Slovak Univ Technol, Inst Telecommunicat,Univ Ljubljana, Lab Telecommunicat,Czech Tech Univ Prague, Dept Telecommunicat Engn,Univ Osijek, Fac Elect Engn,Tech Univ Sofia, Fac Telecommunicat,Seikei Univ, Grad Sch & Fac Sci & Technol, Informat Networking Laben_US
dc.identifier.endpage582en_US
dc.identifier.isbn978-1-5090-1288-6
dc.identifier.startpage579en_US
dc.identifier.urihttps://hdl.handle.net/11616/102774
dc.identifier.wosWOS:000390164000126en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2016 39th International Conference on Telecommunications and Signal Processing (Tsp)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLow-pass filteren_US
dc.subjectfractional-order systemen_US
dc.subjectECGen_US
dc.subjectApnea detectionen_US
dc.titleDetection of RR Interval Alterations in ECG Signals by Using First Order Fractional Filteren_US
dc.typeConference Objecten_US

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