Title :
Pattern discrimination software for neonatal cardiovascular risk estimation
Author :
Hermida, R.C. ; Fernández, J.R. ; Ayala, D.E. ; Aguado, F.
Author_Institution :
Bioengineering & Chronobiology Labs., ETSI Telecomunicación, Univ. Vigo, Vigo, Spain
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
Parametric characteristics obtained by least-squares fitting and descriptive statistics of within-a-day variability in blood pressure and heart rate for 150 neonates are here used for classification according to a cardiovascular risk score by the use of an all-subsets variable selection technique for discriminant analysis, specifically designed for biomedical applications. Results provide a set of classification criteria for further use in neonatal risk assessment.1
Keywords :
Cardiology; Estimation; Heart; Mirrors; Pediatrics;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris, France
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761567
