Retrieval of similar heart sounds from a sound database has applications in physician training, diagnostic screening, and decision support. In this paper, we exploit a visual rendering of heart sounds and model the morphological variations of audio envelopes through a constrained non-rigid translation transform. Similar heart sounds are then retrieved by recovering the corresponding alignment transform using a variant of shape-based dynamic time warping. Results of similar heart sound retrieval are demonstrated for various diseases on a large database of heart sounds. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Syeda-Mahmood, T., & Wang, F. (2008). Shape-based retrieval of heart sounds for disease similarity detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5303 LNCS, pp. 568–581). Springer Verlag. https://doi.org/10.1007/978-3-540-88688-4_42
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