Feature subset selection for blood pressure classification using orthogonal forward selection

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.