@inproceedings{3ad6a98af463456b8e58848d69d5904b,
title = "Feature subset selection for blood pressure classification using orthogonal forward selection",
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 = "Blood pressure, Computer science, Covariance matrix, Extraterrestrial measurements, Feature extraction, Hypertension, Matrix decomposition, Space technology, Spatial databases, Testing",
author = "S. Colak and C. Isik",
year = "2003",
month = jan,
day = "1",
doi = "10.1109/NEBC.2003.1216022",
language = "English (US)",
series = "Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "122--123",
editor = "Stanley Reisman and Richard Foulds and Bruno Mantilla",
booktitle = "Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference",
note = "29th IEEE Annual Northeast Bioengineering Conference, NEBC 2003 ; Conference date: 22-03-2003 Through 23-03-2003",
}