Paper
28 January 2015 A stethoscope with wavelet separation of cardiac and respiratory sounds for real time telemedicine implemented on field-programmable gate array
Víctor Manuel Castro, Nestor Andrés Muñoz, Antonio José Salazar
Author Affiliations +
Proceedings Volume 9287, 10th International Symposium on Medical Information Processing and Analysis; 92870L (2015) https://doi.org/10.1117/12.2073955
Event: Tenth International Symposium on Medical Information Processing and Analysis, 2014, Cartagena de Indias, Colombia
Abstract
Auscultation is one of the most utilized physical examination procedures for listening to lung, heart and intestinal sounds during routine consults and emergencies. Heart and lung sounds overlap in the thorax. An algorithm was used to separate them based on the discrete wavelet transform with multi-resolution analysis, which decomposes the signal into approximations and details. The algorithm was implemented in software and in hardware to achieve real-time signal separation. The heart signal was found in detail eight and the lung signal in approximation six. The hardware was used to separate the signals with a delay of 256 ms. Sending wavelet decomposition data - instead of the separated full signa - allows telemedicine applications to function in real time over low-bandwidth communication channels.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Víctor Manuel Castro, Nestor Andrés Muñoz, and Antonio José Salazar "A stethoscope with wavelet separation of cardiac and respiratory sounds for real time telemedicine implemented on field-programmable gate array", Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92870L (28 January 2015); https://doi.org/10.1117/12.2073955
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Cited by 2 scholarly publications and 1 patent.
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KEYWORDS
Heart

Field programmable gate arrays

Signal processing

Wavelets

MATLAB

Reconstruction algorithms

Discrete wavelet transforms

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