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Dimensionality Reduction Oriented Toward the Feature Visualization for Ischemia Detection
2009
IEEE Transactions on Information Technology in Biomedicine
An effective data representation methodology on high-dimension feature spaces is presented, which allows a better interpretation of subjacent physiological phenomena (namely, cardiac behavior related to cardiovascular diseases), and is based on search criteria over a feature set resulting in an increase in the detection capability of ischemic pathologies, but also connecting these features with the physiologic representation of the ECG. The proposed dimension reduction scheme consists of three
doi:10.1109/titb.2009.2016654
pmid:19304491
fatcat:3w2br4rjrbhrxdxdvk2coypvqi