ASEPTIC: Aided System for Event-Based Phonocardiographic Telediagnosis with Integrated Compression
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Martínez Cabeza De Vaca Alajarín, Juan de la Cruz; López Alcantud, José Alejandro; Ruiz Merino, Ramón JesúsÁrea de conocimiento
ElectrónicaPatrocinadores
A general purpose system for telediagnosis of the valvular condition of the heart by analysing the phonocardiographic (PCG) signals generated by the heart is presented in this article. The system includes two main parts: a processing stage and a compression stage. The first one is arranged as a modular hierarchical structure with different abstraction levels, and performs a complete analysis of the PCG from the acquisition to the final diagnosis, following an event-based methodology. Analysis does not use auxiliary signals like ECG or pulse. The compression stage includes a lossy compression wavelet-based method with optimized parameters for an efficient transmission and storing of PCG signals. Results show a high degree of cardiac cycles in which all the events have been correctly delimited and identified, 91.27% and 65.65% for non-murmurs and for murmurs recordings, respectively, and compression rates between 2.6 and 5.6 times higher than the OGG Vorbis compression method.Fecha de publicación
2006-09Editorial
IEEE Engineering in Medicine and Biology SocietyCita bibliográfica
MARTÍNEZ CABEZA DE VACA ALAJARÍN, Juan de la Cruz et al. ASEPTIC: Aided System for Event-Based Phonocardiographic Telediagnosis with Integrated Compression. En: Computers in Cardiology (2006: Valencia) Computers in Cardiology, 2006. Piscataway: IEEE Engineering in Medicine and Biology Society, 2006. Pp. 537-540. ISBN 978-1-4244-2532-7Palabras clave
ASEPTICEcocardiografía
Procesamiento de señales médicas
Diagnóstico del paciente
Transmisión de la señal PCG
Cardiac cycles
Telediagnóstico fonocardiográfico
Echocardiography
Medical signal processing
Patient diagnosis
PCG signal transmission
Phonocardiographic telediagnosis
Resumen
A general purpose system for telediagnosis of the valvular condition of the heart by analysing the phonocardiographic (PCG) signals generated by the heart is presented in this article. The system includes two main parts: a processing stage and a compression stage. The first one is arranged as a modular hierarchical structure with different abstraction levels, and performs a complete analysis of the PCG from the acquisition to the final diagnosis, following an event-based methodology. Analysis does not use auxiliary signals like ECG or pulse. The compression stage includes a lossy compression wavelet-based method with optimized parameters for an efficient transmission and storing of PCG signals. Results show a high degree of cardiac cycles in which all the events have been correctly delimited and identified, 91.27% and 65.65% for non-murmurs and for murmurs recordings, respectively, and compression rates between 2.6 and 5.6 times higher than the OGG Vorbis compression method.
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