dc.creator | Keković, Goran | |
dc.creator | Sekulić, S. | |
dc.date.accessioned | 2019-06-19T13:37:35Z | |
dc.date.available | 2900-01-01 | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://link.springer.com/10.1007/s11062-019-09783-y | |
dc.identifier.uri | https://radar.ibiss.bg.ac.rs/handle/123456789/3368 | |
dc.description.abstract | We investigated change point detection (CPD) in time series composed of harmonic functions driven by Gaussian noise (in EEGs, in particular) and proposed a method of moving average filters in conjunction with wavelet transform. Numerical simulations showed that CPD runs over 90% within the frequency band <40 Hz. This means that detection of structural change points is almost guaranteed in the respective cases. The mean absolute error (MAE) as a measure of performance of the method was below 5%. The method is rather robust against noise. It has been demonstrated that CPD is possible at the noise amplitude exceeding 25% of the amplitude of harmonic functions. In application of the proposed method on the signals, CPD appeared in 74% of the analyzed EEGs. | en |
dc.relation | info:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/175006/RS// | |
dc.rights | restrictedAccess | |
dc.source | Neurophysiology | |
dc.source | Neurophysiology | |
dc.subject | Change point detection (CPD) | |
dc.subject | Filter bank | |
dc.subject | Wavelet transform | |
dc.subject | Moving avarage filters | |
dc.subject | Gaussian noise | |
dc.subject | Frequency | |
dc.subject | EEG | |
dc.subject.other | m23 | |
dc.title | Detection of Change Points in Time Series with Moving Average Filters and Wavelet Transform: Application to EEG Signals | en |
dc.type | article | en |
dc.rights.license | ARR | |
dcterms.abstract | Секулић, С.; Кековић, Г.; | |
dc.rights.holder | © 2019, Springer Science+Business Media, LLC, part of Springer Nature. | |
dc.citation.issue | 1 | |
dc.citation.volume | 51 | |
dc.identifier.doi | 10.1007/s11062-019-09783-y | |
dc.identifier.scopus | 2-s2.0-85066034530 | |
dc.identifier.wos | 000468079500002 | |
dc.citation.apa | Keković, G. & Sekulić, S. (2019). Detection of Change Points in Time Series with Moving Average Filters and Wavelet Transform: Application to EEG Signals. Neurophysiology, 51(1), 2–8. | |
dc.citation.vancouver | Keković G, Sekulić S. Detection of Change Points in Time Series with Moving Average Filters and Wavelet Transform: Application to EEG Signals. Neurophysiology. 2019;51(1):2–8. | |
dc.citation.spage | 2 | |
dc.citation.epage | 8 | |
dc.type.version | publishedVersion | |