prikaz prve stranice dokumenta Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time-Frequency Distributions with Application in EEG Seizure Signals Analysis
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Scientific paper - Original scientific paper
Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time-Frequency Distributions with Application in EEG Seizure Signals Analysis
Sensors, 23 (2023), 10; 4680. https://doi.org/10.3390/s23104680
Jurdana, Vedran; Vrankić, Miroslav; Lopac, Nikola; Madhale Jadav, Guruprasad

Institutional repository: Repository of the University of Rijeka, Faculty of Maritime Studies - FMSRI Repository

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Jurdana, V., Vrankić, M., Lopac, N. & Madhale Jadav, G. (2023). Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time-Frequency Distributions with Application in EEG Seizure Signals Analysis. Sensors, 23. (10). doi: 10.3390/s23104680

Jurdana, Vedran, et al. "Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time-Frequency Distributions with Application in EEG Seizure Signals Analysis." Sensors, vol. 23, no. 10, 2023. https://doi.org/10.3390/s23104680

Jurdana, Vedran, Miroslav Vrankić, Nikola Lopac and Guruprasad Madhale Jadav. "Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time-Frequency Distributions with Application in EEG Seizure Signals Analysis." Sensors 23, no. 10 (2023). https://doi.org/10.3390/s23104680

Jurdana, V., et al. (2023) 'Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time-Frequency Distributions with Application in EEG Seizure Signals Analysis', Sensors, 23(10). doi: 10.3390/s23104680

Jurdana V, Vrankić M, Lopac N, Madhale Jadav G. Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time-Frequency Distributions with Application in EEG Seizure Signals Analysis. Sensors [Internet]. 2023 [cited 2025 January 09];23(10). doi: 10.3390/s23104680

V. Jurdana, M. Vrankić, N. Lopac and G. Madhale Jadav, "Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time-Frequency Distributions with Application in EEG Seizure Signals Analysis", Sensors, vol. 23, no. 10, 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:187:917807. [Accessed: 09 January 2025]

Metadata
Title (english)Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time-Frequency Distributions with Application in EEG Seizure Signals Analysis
AuthorVedran Jurdana
MBZ: 365314
AuthorMiroslav Vrankić
MBZ: 233995
AuthorNikola Lopac
MBZ: 365303
AuthorGuruprasad Madhale Jadav
Author's institutionUniversity of Rijeka
Faculty of Maritime Studies
Author's institutionUniversity of Rijeka
Faculty of Engineering
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract (english)
Instantaneous frequency (IF) is commonly used in the analysis of electroencephalogram (EEG) signals to detect oscillatory-type seizures. However, IF cannot be used to analyze seizures that appear as spikes. In this paper, we present a novel method for the automatic estimation of IF and group delay (GD) in order to detect seizures with both spike and oscillatory characteristics. Unlike previous methods that use IF alone, the proposed method utilizes information obtained from localized Rényi entropies (LREs) to generate a binary map that automatically identifies regions requiring a different estimation strategy. The method combines IF estimation algorithms for multicomponent signals with time and frequency support information to improve signal ridge estimation in the time–frequency distribution (TFD). Our experimental results indicate the superiority of the proposed combined IF and GD estimation approach over the IF estimation alone, without requiring any prior knowledge about the input signal. The LRE-based mean squared error and mean absolute error metrics showed improvements of up to 95.70% and 86.79%, respectively, for synthetic signals and up to 46.45% and 36.61% for real-life EEG seizure signals.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleSensors
Numberingvol. 23, no. 10, 4680
e-ISSN1424-8220
DOIhttps://doi.org/10.3390/s23104680
URN:NBNurn:nbn:hr:187:917807
Publication2023
Document URLhttp://bib.irb.hr/1271167
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-06-07 11:47:31