Abstract
The phonocardiogram (PCG) is an important biomedical signal of the heart of audio nature (heart sounds and murmurs) related to the contractile activity of the cardiohemic system and represents a recording of the heart sound signal. The audio retrieval problems are studied in audio information retrieval (AIR) or music information retrieval (MIR) systems and are modeled as feature vectors and employ the similarity measures for speech or music retrieval. We extend these content-based retrieval techniques exclusively for heart sounds and murmurs. In this paper, we propose a framework for audio modeling of heart sounds and murmurs using feature vectors (spectral, and perceptual) and implementation of content based heart sound and murmurs retrieval algorithms and auditory user interfaces for cardiologist, in which he/she can directly audio query and obtain the ranked heart and murmur audio files using similarity measures. The query results are displayed in a heart sound and murmur browser, where cardiologists not only visualize (temporal and frequency domain) the phonocardiography signals, but also listen and make effective clinical decisions. The preliminary results of the research work show 80% precision and good retrieval efficiency.
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Patil, K.K., Nagabhushana, B.S., Vijaya Kumar, B.P. (2013). An Effective User Interface Tool for Retrieval of Heart Sound and Murmurs. In: Kumar M., A., R., S., Kumar, T. (eds) Proceedings of International Conference on Advances in Computing. Advances in Intelligent Systems and Computing, vol 174. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0740-5_87
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DOI: https://doi.org/10.1007/978-81-322-0740-5_87
Publisher Name: Springer, New Delhi
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