Naslov (eng)

Spectral, biotic and fractal analysis of EEG and ECG signals in experimental models of myocardial infarction and epilepsy : doctoral dissertation

Autor

Vorkapić, Marko,

Doprinosi

Mitrović, Predrag, 1966-
Ristić, Aleksandar, 1973-
Stanojlović, Olivera, 1964-
Hrnčić, Dragan, 1983-
Savić, Andrej, 1982-
Janković, Milica, 1979-
Ilić, Vojin, 1980-

Opis (eng)

Acute myocardial infarction (AMI) and epilepsy are responsible for significantmorbidity and mortality. Besides clinical significance, another thread connecting AMI andepilepsy is the importance of signal analysis in establishing diagnosis as well as assessing riskfor disease progression.The objectives of this study were to investigate spectral, fractal and biotic characteristicsof the EEG and ECG signals in animal models of AMI and epilepsy.We used the rat model of isoprenaline-induced AMI and registered concomitantly ECGand EEG signals in baseline conditions and up to 24h after isoprenaline administration.Histological myocardium evaluation was done at the end of registration period to assess AMIdevelopment morphology. The spectral, fractal and biotic characteristics of the EEG and ECGwere analyzed.Lindane-induced generalized seizures in rats were used herein as experimental modelof epilepsy. EEG and ECG signals were recorded simultaneously before and after lindaneadministration. Ictal EEG parameters were detected and analyzed. EEG, as well as ECG featureswere extracted using spectral, fractal and biotic analyses and neural networks wereconstructed in order to test the possibility of automatic detection of seizures.Development of AMI has been confirmed by presence of ST elevation in ECG andhistological findings of myocardial necrosis. Significant alterations were determined in EEGspectral power in the alpha, beta and theta bands upon isoprenaline administration. Thesealterations were significantly correlated with ST elevation. We found significant changes inbiotic, fractal and time domain analyses of ECG before and after isoprenaline administration.All perceived changes returned to baseline averages after 24h denoting acute effects. In theepilepsy model, we saw significant changes in spectral EEG power and band power dominancein ictal vs baseline periods. EEG and ECG features based on spectral, fractal and biotic analyseswere extracted and neural networks for detection of ictal periods were trained. Neural networkbased on our features for detection of ictal events showed favorable performances.

Opis (srp)

Akutni infarkt miokarda (AMI) i epilepsija su bolesti odgovorne za značajan morbiditeti mortalitet u populaciji. Pored njihovog klničkog značaja, još jedna važna veza AMI i epilepsijeogleda se u značaju analize signala za uspostavljanje dijagnoze, procenu rizika i praćenjeprogresije bolesti.Ciljevi ove studije bili su da ispitaju spektralne, fraktalne i biotičke karakteristike EKG iEEG signala u animalnom modelu AMI i epilepsije.Koristili smo model Isoprenalinom indukovanog AMI kod pacova i paralelno registrovaliEKG i EEG signale pre administracije kao i do 24h nakon administracije Isoprenalina. Radiprocene razvoja AMI učinjena je histološka evaluacija miokarda na kraju perioda registrovanjasignala. Analizirane su spektralne, fraktalne i biotičke karakteristike EEG i EKG signala.Za modelovanje epileptičkih napada korišćen je Lindanski model kod pacova. EEG i EKGsignali su registrovani pre i nakon administracije Lindana. Iktalni EEG parametri sudetektovani i analizirani. Koristeći spektralne, fraktalne i biotičke analize, izvučene su EEG iEKG karakteristike koje su nakon toga korišćene za treniranje neuralne mreže u svrhuautomatske detekcije i predikcije pojave epileptičkih napada.Razvoj AMI potvrđen je pojavom ST elevacije i karakterističnim histološkim nalazomnakon nekroze miokarda. Nakon administracije isoprenalina registrovane su značajnepromene u EEG spektru alfa, beta i gama frekventnih opsega. Navedene promene su značajnokorelisale sa ST elevacijom. Takođe, našli smo značajne promene u biotičkim i fraktalnimparametrima i paramterima vremenskog domena EKG signala pre i nakon administracijeIsoprenalina. Sve promene su se povukle nazad na osnovne vrednosti nakon perioda od 24hšto ukazuje na akutne efekte.U modelu epilepsije registrovane su značajne promene u snazi EEG spektra kao i udominaciji snage pojedinih frekventnih opsega u iktalnoj u odnosu na osnovne vrednosti.Nakon izolovanja EEG i EKG karakteristika, trenirali smo neuralne mreže koje su potom dalezadovoljavajuće rezultate u automatskoj detekciji i predikciji iktalnih fenomena.

Opis (srp)

Medicine - Physiological Sciences / Medicina- Fiziološke nauke Datum odbrane: 27.09.2024.

Jezik

srpski

Datum

2024

Licenca

Ovo delo je licencirano pod uslovima licence
Creative Commons CC BY-NC-ND 3.0 AT - Creative Commons Autorstvo - Nekomercijalno - Bez prerada 3.0 Austria License.

http://creativecommons.org/licenses/by-nc-nd/3.0/at/legalcode

Predmet

OSNO - Opšta sistematizacija naučnih oblasti, Fiziologija

EEG, ECG, HRV, nelinearne metode, Epilepsija, AMI, analiza signala, Bios, Izoprenalin, Lindan

612.1:612.8(043.3)

OSNO - Opšta sistematizacija naučnih oblasti, Fiziologija

EEG, ECG, HRV, nonlinear, Epilepsy, AMI, signal analysis, Bios, Isoprenaline, Lindane