[ABE-L] seminarios em High Dimensional Data

[Ronaldo Dias]

Cari$imos(as)

Desculpe avisar em cima da hora, mas que estiver na região ainda é possível
participar se assim quiser.

Seminário será na sala 221, IMECC as 13hs.

Discutiremos o trabalho de

 Francesca Ieva, Anna M. Paganoni and Davide Pigoli

(Politecnico di Milano, Italy)

 and Valeria Vitelli

(Ecole Centrale, Paris, and Supélec, Gif-sur-Yvette, France)


Com a proposição de um factível novo procedimento, baseado em operadores
diferenciais lineares, para analisar conjunto de dados na mesma classe de
equivalência. Discutiremos sobre possíveis métricas alternativas.


*Summary. Cardiovascular ischaemic diseases are one of the main causes of
death all over **the world. In this class of pathologies, a quick diagnosis
is essential for a good prognosis in **reperfusive treatment. In
particular, an automatic classification procedure based on statistical*

*analysis of teletransmitted electrocardiograph (‘ECG’) traces would be
very helpful for an early **diagnosis. This work presents an analysis of
ECG traces, either physiological or pathological, **of patients whose
12-lead prehospital ECG has been sent to the 118 Dispatch Center in Milan **by
life-support personnel. The statistical analysis starts with a
preprocessing step, where functional **data are reconstructed from noisy
observations and biological variability is removed by a*

*non-linear registration procedure. Then, a multivariate functional k-means
clustering procedure**s carried out on reconstructed and registered ECGs
and their first derivatives. Hence, a new*

*semi-automatic diagnostic procedure, based solely on the ECG morphology,
is proposed to **classify ECG traces; finally, the performance of this
classification method is evaluated.*

*Keywords: Electrocardiograph signal; Functional k-means clustering;
Functional registration;*

*Wavelets smoothing*



-- 
Ronaldo Dias
Professor
Dept. of Statistics-IMECC, UNICAMP
www.ime.unicamp.br/~dias
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