- Tytuł:
- Combining Spectral Analysis with Artificial Intelligence in Heart Sound Study
- Autorzy:
-
Kucharski, Dariusz
Kajor, Marcin
Grochala, Dominik
Iwaniec, Marek
Iwaniec, Joanna - Powiązania:
- https://bibliotekanauki.pl/articles/102508.pdf
- Data publikacji:
- 2019
- Wydawca:
- Stowarzyszenie Inżynierów i Techników Mechaników Polskich
- Tematy:
-
deep learning
heart sound classification
convolutional neural network
machine learning
signal processing
uczenie głębokie
klasyfikacja dźwięku serca
splotowa sieć neuronowa
uczenie maszynowe
przetwarzanie sygnałów - Opis:
- The auscultation technique has been widely used in medicine as a screening examination for ages. Nowadays, advanced electronics and effective computational methods aim to support the healthcare sector by providing dedicated solutions which help physicians and support diagnostic process. In this paper, we propose a machine learning approach for the analysis of heart sounds. We used the spectral analysis of acoustic signal to calculate feature vectors and tested a set of machine learning approaches to provide the most effective detection of cardiac disorders. Finally, we achieved 91% of sensitivity and 99% of positive predictivity for a designed algorithm based on convolutional neural network.
- Źródło:
-
Advances in Science and Technology. Research Journal; 2019, 13, 2; 112-118
2299-8624 - Pojawia się w:
- Advances in Science and Technology. Research Journal
- Dostawca treści:
- Biblioteka Nauki
Artykuł