Mapping Cardiac Pathologies using Nonlinear Analysis for ECG Signals


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ivan mickoski    on Oct 20, 2009 Says :

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I wants to learn more about arrthymia
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Slide 1 : Maide Bucolo, Luigi Fortuna, Francesca Sapuppo A New Characterization of Chaotic Dynamics in ECG: 8 FACOLTA’ DI INGEGNERIA ,Università degli Studi di Catania, Italy Aldo Bonasera Laboratori Nazionali del Sud, INFN, Catania Italy bonasera@lns.infn.it Cyclotron Institute Texas A&M university, College Station,Tx
Slide 2 : Outline
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Slide 4 : Biological Problem Heart Physiology ECG Sequential atrial activation (depolarization) Simultaneously ventricular activation (depolarization) ventricular repolarization After depolarizations in the ventricles
Slide 5 : Biological Problem ECG wave shape characterization Arrhythmia Ventricular Arrhythmia Bradycardia Normal REGULAR RHYTHM IRREGULAR RHYTHM REGULAR RHYTHM Difference In Wave Shape And Frequency : P ,T AND U WAVE INDISTINCT. IRREGULAR RHYTHM
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Slide 8 : 8 Example: maps a,b) Logistic map xn+1=rxn(1-xn) r[0,4] r=4 r=3.771 c) Triangular map xn+1=r(1-2|0.5-xn|) r[0,1] d) Sine map xn+1=xn+rsin(2pi xn) r[0,0.7326] r=1 r=0.73 r control parameter
Slide 9 : 9 LOGISTIC MAP TRIANGUALRMAP V.Baran and A.B. arxiv:chao-dyn/9804023
Slide 10 : The Algorithm Input Parameters
Slide 11 : The Algorithm Trajectories Satisfy both initial condition and distance constrains. Trajectories are generated from this Satisfy the requirements of initial condition.
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Slide 14 : Parametric Study Initial Condition In P-wave choose the points in order to extract coherent trajectories
Slide 15 : Parametric Study Extraction of dj parameters From points in P-wave extract dj that have asymptotic behaviour and present limited oscillation
Slide 16 : Parametric Study Range of initial condition dj trend not dependent on initial condition (in P-wave) Small Range 20% d0 Range in Std(Amplitude) 3% d0 Range in Std(Amplitude)
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Slide 18 : Parametric Study Control Parameter Logistic Map ECG Signals
Slide 19 : Results Index
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Slide 21 : Results (d8 - ?MAX) vs Area
Slide 22 : Results (d8 - ?MAX) vs ?
Slide 23 : Results (d8 - ?MAX) vs Power
Slide 24 : Results (d8 - ?MAX) vs Power2 | |
Slide 25 : Results d8 vs ?MAX (Patology: Normal)
Slide 26 : Results d8 vs ?MAX (Patology: Arrhythmia)
Slide 27 : Results d8 vs ?MAX (Patology: Ventr. Arrhythmia)
Slide 28 : Results d8 vs ?MAX (All Patology)
Slide 29 : Future Development Possible Solution
Slide 30 : Conclusions Application Biomedical Application: Automatic Diagnostic Theoretical study healthy unhealthy The asymptotic distance between trajectories, d8, has been obtained from computation of dj dj trend is similar to one reported in literature on Chaotic System Need more medical statistics and inputs!
Slide 31 : 31
Slide 32 : 32 Allievi: Maria Rita Di Bartolomeo special thanks to Giuseppe Garifoli Antonio Spampinato FACOLTA’ DI INGEGNERIA

 



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