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UID:8986@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20260209T140000
DTEND;TZID=Europe/Paris:20260209T170000
DTSTAMP:20260204T085640Z
URL:https://www.i2m.univ-amu.fr/evenements/double-seminaire-pierre-latouch
 e-lukasz-lenart/
SUMMARY:Łukasz Lenart (Krakow University of Economics): Łukasz Lenart
DESCRIPTION:Łukasz Lenart: Bayesian non-Gaussian autoregressive model with
  outliers for cardiac signals\nAnna E. Dudek (AGH University of Krakow\, A
 ix Marseille University)\nŁukasz Lenart (Krakow University of Economics)\
 nWu &amp\; H. Ombao (King Abdullah University of Science and Technology)\n
 This presentation presents a novel model for analyzing electrocardiogram (
 ECG) time series data.  The particular focus here is on the RR-interval\,
  which is the time elapsed between two successive R waves of the QRS signa
 l on the ECG. A non-Gaussian autoregressive (AR) model is developed to ana
 lyze about 25 minutes of the RR time series recorded from 3 clinical group
 s: controls\, congestive heart failure patients\, and atrial fibrillation 
 patients. Outliers in the signals were identified through the latent varia
 bles of the model. A suitable MCMC sampler was applied and validated in a 
 simulation study.\nThe simulation studies and analysis of the ECG signal d
 emonstrate that the proposed approach (in particular\, the AR structure wi
 th latent variables) is flexible in modeling the complex structure of RR s
 egments\, while providing the additional benefit of being able to filter o
 ut outliers.\n
CATEGORIES:Séminaire,Statistique
LOCATION:Saint-Charles - FRUMAM  (2ème étage)\, 3 Place Victor Hugo\, Mar
 seille\, 13003\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=3 Place Victor Hugo\, Marse
 ille\, 13003\, France;X-APPLE-RADIUS=100;X-TITLE=Saint-Charles - FRUMAM  (
 2ème étage):geo:0,0
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DTSTART:20251026T020000
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