Etiqueta de registo: 00000nam 2200025 450
001 2123762
003 http://id.bnportugal.gov.pt/bib/catbnp/2123762
100 ## $a20230216d2022 k y0pory01030103ba
101 0# $aeng$dpor
102 ## $aPT
105 ## $aa m 000yy
106 ## $ar
200 1# $aTowards the characterisation of the preictal state using neuro-cardiovascular information and unsupervised learning$fAdriana Costa Leal$g supervisor César Teixeira, Maria da Graça Ruano, Anna Maria Bianchi
210 #9 $aCoimbra$c[s.n.],$d2022
215 ## $aXXVII, [1], 301 p.$cil.$d30 cm
328 #1 $aTese dout. Engenharia Informática, Sistemas Inteligentes, Faculdade de Ciências e Tecnologias, Universidade de Coimbra, 2022
675 ## $a004.8(043)$vBN$zpor$31234122
675 ## $a616-073.7(043)$vBN$zpor$31238717
700 #1 $aLeal,$bAdriana Costa$31873259
702 #1 $aTeixeira,$bCésar Alexandre Domingues$4727$31392593
702 #1 $aRuano,$bMaria da Graça$4727$31220128
702 #1 $92$aBianchi,$bAnna Maria$4727$31873261
801 #0 $aPT$bBN$gRPC
966 ## $lBN$mFGMON$sP. 62421 V.$x1
971 ## $carosa$d20230216
972 ## $d20230510$e0$vlrevez$z0
973 ## $cmcarvalho$d20230420