3/9/2024 0 Comments Amplitude of lung soundson Wireless Mobile Communication and Healthcare. Oletic D, Arsenali B, Bilas V (2011) Towards continuous wheeze detection body sensor node as a core of asthma monitoring system. Kandaswamy A, Kumar C, Ramanathan R, Jayaraman S, Malmurugan N (2004) Neural classification of lung sounds using wavelet coefficients. Schulz NJ (2007) Spirometry essentials for medical assistants part iii: standards for the test procedure. Wipf JE, Lipsky BA, Hirschmann JV, Boyko EJ, Takasugi J, Peugeot RL, Davis CL (1999) Diagnosing pneumonia by physical examination: relevant or relic? Arch Intern Med 159(10):1082–1087 Gould G, Redpath A, Ryan M, Warren P, Best J, Flenley D, MacNee W (1991) Lung CT density correlates with measurements of airflow limitation and the diffusing capacity. Overview of potential to reduce lives lost from Chronic Obstructive Pulmonary Disease (COPD) 2014. World Health Organization, “The top 10 causes of death”. The proposed method is non-invasive, efficient, robust and has low time complexity making it suitable for real-time applications to diagnose pulmonary diseases. The proposed model can be ported to any computing devices like computers, single board computing processors, android handheld devices, etc., to make a stand-alone diagnostic tool that may be of help in remote primary health care centres. To improve the accuracy of diagnosis in a noisy environment and increase the robustness, the proposed method has used data augmentation techniques for training and multi-classification of lung sounds and has achieved 94.24% accuracy. The proposed system involves a neural network model because of its high accuracy to diagnose lung sounds like wheezing sound which can be helpful to diagnose asthma patients. A comprehensive database of lung sounds was collected and labelled by doctors which was used in a deep learning network. This paper presents an automatic classification method using machine learning to diagnose multiple pulmonary diseases from lung sounds. In many countries, there is a shortage of medical professionals and hence there is a need to develop artificial intelligence-based automatic diagnostic tools that can help to diagnose pulmonary diseases by computing the lung sounds. Chronic respiratory diseases (CRDs) are common across the world.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |