Thesis Open Access
Robust Cough Analysis System for Diagnosis of Tuberculosis Using Artificial Neural Network
Amsalu Fentie Jember
This research proposed a robust and easily applied method for tuberculosis (TB) screening system based on the analysis of patients' cough sounds. There are various existing diagnostic tests for TB, but they are expensive and require highly skilled physicians and laboratory facilities. Therefore, there is a need for a low-cost, quick-to-diagnose, and easily accessible solution for diagnosing TB in developing countries using a patient's cough sound. The coughing sound of patients with TB have distinct mathematical features or information that can indicate a disease. The use of patients' cough sounds to diagnose pulmonary diseases is an active research field with promising results; however, a robust system for diagnosing tuberculosis using cough sounds is currently unavailable commercially
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- Publication date:
- September 1, 2021
- DOI:
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- Communities:
- License (for files):
- Creative Commons Attribution