Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction
Abstract: Highlights•Myocardial motion and heart rate data are obtained from handgrip exercise sequences.•Multiple Kernel Learning is used to obtain a compact representation of the data.•Each subject’s sequence can be seen as a low-dimensional trajectory.•Distinct healthy/pathological clusters of response can be identified.•Pathology-specific patterns can be retrieved from the low-dimensional space.
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