Title :
Feature subset selection for blood pressure classification using orthogonal forward selection
Author :
Colak, S. ; Isik, C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
Abstract :
Systolic and diastolic pressures are used to define cardiac related health in general medicine. In our present work, we investigate blood pressure classification based on pressure waveforms using a relatively large non-invasively collected database. Feature selection is required to reduce redundant features in the data set for a better classification. Therefore, a selection method based on an orthogonal transform is used.
Keywords :
cardiology; feature extraction; haemodynamics; medical signal processing; pattern classification; transforms; blood pressure classification; cardiac related health; data set; diastolic pressures; feature subset selection; general medicine; orthogonal forward selection; orthogonal transform; pattern classifier; pressure waveforms; redundant features; relatively large noninvasively collected database; systolic pressures; Blood pressure; Computer science; Covariance matrix; Extraterrestrial measurements; Feature extraction; Hypertension; Matrix decomposition; Space technology; Spatial databases; Testing;
Conference_Titel :
Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of
Print_ISBN :
0-7803-7767-2
DOI :
10.1109/NEBC.2003.1216022
