Distinctive features for classification of respiratory sounds between normal and crackles using cepstral coefficients

• Main Authors: Mohd Johari, Nabila Husna, Abd Malik, Noreha, Sidek, Khairul Azami
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2018
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/67988/7/67988%20Distinctive%20Features%20for%20Classification%20of.pdf; http://irep.iium.edu.my/67988/13/67988%20Distinctive%20Features%20for%20Classification%20_scopus.pdf; http://irep.iium.edu.my/67988/; https://ieeexplore.ieee.org/document/8539305

Classification of respiratory sounds between normal and abnormal is very crucial for screening and diagnosis purposes. Lung associated diseases can be detected through this technique. With the advancement of computerized auscultation technology, the adventitious sounds such as crackles can be d...