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

• المؤلفون الرئيسيون: Mohd Johari, Nabila Husna, Abd Malik, Noreha, Sidek, Khairul Azami
• التنسيق: Conference or Workshop Item
• اللغة: English; English
• منشور في: IEEE 2018
• الموضوعات: TK7885 Computer engineering
• الوصول للمادة أونلاين: 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...