A Review on Respiratory Sound Analysis using Machine Learning
Yükleniyor...
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Auscultation of the respiratory sounds is an inexpensive and effective method for diagnosing cardiopulmonary disorders using lung sounds from chest and back. Nowadays, high system performances in the management of robust processes that require great attention were increased using the computer-aided analysis methods and the developments of the diagnosis system. Analysis of the respiratory sounds with computer-aided systems allows objective and useful assessments. In this study, a brief description of the abnormal respiratory sounds was presented. The main aims of the study are performing a systematic review about methods and the machine learning algorithms that are used to classify the abnormal respiratory sounds for diagnosis of cardio-pulmonary disorders and evaluating the development of possible methods on respiratory sounds in the future.
Açıklama
20th National Biomedical Engineering Meeting (BIYOMUT) -- NOV 03-05, 2016 -- Izmir, TURKEY
Anahtar Kelimeler
Respiratory sounds, oscultation, machine learning, crackles, wheeze
Kaynak
2016 20th National Biomedical Engineering Meeting (Biyomut)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
