Respiratory Sound Analysis for Identifying Lung Diseases: A Review
نویسنده
چکیده
For diagnosis of lung disease, lung sound auscultation plays an important role. Lung sound provides important information regarding underlying condition of lungs. Advances in the field of signal processing have led to development of automated tools for diagnosis of respiratory diseases using lung sound. This paper investigates the previous work undertaken by various researchers on automated respiratory sound diagnosis using visual and statistical methods. Based on this analysis, future work which can advance knowledge in the important area for remote healthcare is explored.
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