Research Article
An Internet-Based Tool for Pediatric Cardiac Disease Diagnosis Using Intelligent Phonocardiography
@INPROCEEDINGS{10.1007/978-3-319-47063-4_46, author={Arash Gharehbaghi and Maria Lind\^{e}n}, title={An Internet-Based Tool for Pediatric Cardiac Disease Diagnosis Using Intelligent Phonocardiography}, proceedings={Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015. Revised Selected Papers, Part I}, proceedings_a={IOT360}, year={2017}, month={1}, keywords={Heart sounds Phonocardiogram Intelligent phonocardiography Artificial intelligence}, doi={10.1007/978-3-319-47063-4_46} }- Arash Gharehbaghi
Maria Lindén
Year: 2017
An Internet-Based Tool for Pediatric Cardiac Disease Diagnosis Using Intelligent Phonocardiography
IOT360
Springer
DOI: 10.1007/978-3-319-47063-4_46
Abstract
This paper suggests an internet-based tool for cardiac diagnosis in children. The main focus of the paper is the intelligent algorithms for processing heart sounds that are implementable on an internet platform. The algorithms are based on the statistical classification methods, tailored for the heart sound signal processing. The algorithms, applied to 55 healthy and 45 children with congenital heart diseases. The accuracy of the algorithm is estimated to be 86.0 % in screening the children with pathological murmurs, and 95.7 %, 92.9 % and 91.4 % in detecting the children with aortic stenosis, pulmonary stenosis and mitral regurgitation, respectively, showing an acceptable performance to be employed as a decision support tool.
