Name
Abstract | ||
|---|---|---|
We present a Matlab framework for heart sound processing and analysis. This framework includes algorithms developed for segmentation of the main heart sound components capable of handling situations with high-grade murmur, and for measuring systolic time intervals (STI). Methods for cardiac function parameter extraction based on STI are also included. Currently, the proposed algorithms are being extended for multi-channel applications. The algorithms outlined in the paper have been extensively evaluated using data collected from patients with several types of cardiovascular diseases under real-life conditions. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/EXPAT.2015.7463205 | 2015 3rd Experiment International Conference (exp.at'15) |
Keywords | Field | DocType |
Non-cardiac Sound Detection,Heart Sound Segmentation,Heart Murmur,Systolic Time Intervals | Signal processing,Data mining,MATLAB,Segmentation,Toolbox,Speech recognition,Time–frequency analysis,Engineering,Audio signal processing | Conference |
ISSN | Citations | PageRank |
2376-631X | 0 | 0.34 |
References | Authors | |
6 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paulo Carvalho | 1 | 250 | 47.68 |
| Rui Pedro Paiva | 2 | 107 | 17.38 |
| J Henriques | 3 | 33 | 14.56 |
| Dinesh Kant Kumar | 4 | 168 | 28.34 |
| Ricardo Couceiro | 5 | 35 | 10.16 |
| T. Sapata | 6 | 0 | 0.34 |
| I. Quintal | 7 | 6 | 2.07 |
| R. Baptista | 8 | 0 | 0.34 |
| Manuel Antunes | 9 | 44 | 9.87 |