Author: Mukherjee, Himadri; Sreerama, Priyanka; Dhar, Ankita; Obaidullah, Sk. Md.; Roy, Kaushik; Mahmud, Mufti; Santosh, K.C.
Title: Automatic Lung Health Screening Using Respiratory Sounds Cord-id: epkg65sc Document date: 2021_1_11
ID: epkg65sc
Snippet: Significant changes have been made on audio-based technologies over years in several different fields. Healthcare is no exception. One of such avenues is health screening based on respiratory sounds. In this paper, we developed a tool to detect respiratory sounds that come from respiratory infection carrying patients. Linear Predictive Cepstral Coefficient (LPCC)-based features were used to characterize such audio clips. With Multilayer Perceptron (MLP)-based classifier, in our experiment, we ac
Document: Significant changes have been made on audio-based technologies over years in several different fields. Healthcare is no exception. One of such avenues is health screening based on respiratory sounds. In this paper, we developed a tool to detect respiratory sounds that come from respiratory infection carrying patients. Linear Predictive Cepstral Coefficient (LPCC)-based features were used to characterize such audio clips. With Multilayer Perceptron (MLP)-based classifier, in our experiment, we achieved the highest possible accuracy of 99.22% that was tested on a publicly available respiratory sounds dataset (ICBHI17) (Rocha et al. Physiol. Meas. 40(3):035,001 20) of size 6800+ clips. In addition to other popular machine learning classifiers, our results outperformed common works that exist in the literature.
Search related documents:
Co phrase search for related documents- abnormal sound and lung sound: 1, 2
- abnormal sound and lung sound analysis: 1
Co phrase search for related documents, hyperlinks ordered by date