Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Journal articles

Characterization of myocardial motion patterns by unsupervised multiple kernel learning

Abstract : We propose an independent objective method to characterize different patterns of functional responses to stress in the heart failure with preserved ejection fraction (HFPEF) syndrome by combining multiple temporally-aligned my-ocardial velocity traces at rest and during exercise, together with temporal information on the occurrence of cardiac events (valves openings/closures and atrial activation). The method builds upon multiple kernel learning, a machine learning technique that allows the combination of data of different nature and the reduction of their dimensionality towards a meaningful representation (output space). The learning process is kept unsupervised, to study the variability of the input traces without being conditioned by data labels. To enhance the physiological interpretation of the output space, the variability that it encodes is analyzed in the space of input signals after reconstructing the velocity traces via multiscale kernel regression. The methodology was applied to 2D sequences from a stress echocardiography protocol from 55 subjects (22 healthy, 19 HFPEF and 14 breathless subjects). The results confirm that characterization of the myocardial functional response to stress in the HFPEF syndrome may be improved by the joint analysis of multiple relevant features.
Document type :
Journal articles
Complete list of metadata

Cited literature [50 references]  Display  Hide  Download
Contributor : Nicolas Duchateau Connect in order to contact the contributor
Submitted on : Tuesday, June 14, 2016 - 8:42:21 AM
Last modification on : Saturday, June 25, 2022 - 11:20:38 PM
Long-term archiving on: : Thursday, September 15, 2016 - 10:16:13 AM


Files produced by the author(s)




Sergio Sanchez-Martinez, Nicolas Duchateau, Tamas Erdei, Alan Fraser, Bart Bijnens, et al.. Characterization of myocardial motion patterns by unsupervised multiple kernel learning. Medical Image Analysis, Elsevier, 2017, 35, pp.70-82. ⟨10.1016/⟩. ⟨hal-01331550⟩



Record views


Files downloads