CLASSIFICATION OF ATRIAL FIBRILLATION PRONE PATIENTS USING ELECTROCARDIOGRAPHIC PARAMETERS IN NEURO-FUZZY MODELING
1. Mirela Ovreiu a PhD, Marc Petre a PhD, Daniel Simon b PhD, Daniel Sessler a MD, and C Allen Bashour a MD a The Cleveland Clinic Anesthesiology Institute Cleveland, Ohio, USA b Cleveland State University Electrical and Computer Engineering Department Cleveland, Ohio, USA CLASSIFICATION OF ATRIAL FIBRILLATION PRONE PATIENTS USING ELECTROCARDIOGRAPHIC PARAMETERS IN NEURO-FUZZY MODELING
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3. Data & Methods TABLE 1 – Subject Demographics TABLE 2 – ECG parameters for model input 46-88 70 15 28 AF 23-88 range 59 average age (years) 23 female 32 male gender Control ms Inflection Point ms Duration P-wave scalar Approximate Entropy (ApEn) non-linear scalar Low Frequency Power normalized (LFn) scalar Low/High Frequency Ratio (LF/HF) mV Magnitude scalar Energy Ratio scalar Shape ms 2 Low Frequency Power (LF) ms 2 High Frequency Power (HF) ms 2 Total Power (TP) frequency ms 2 Root Mean Squared Differences between Adjacent NN intervals (RMSSD) ms 2 Standard Deviation of beat-to-beat intervals (SDNN) ms Mean beat-to-beat interval (NN) linear HRV #/min Premature Atrial Contractions/min Atrial ectopic activity Unit Parameter Domain