COMPARISON OF AR-BASED ALGORITHMS FOR RESPIRATORY SOUNDS CLASSIFICATION

SANKUR B., KAHYA Y., GULER E., ENGIN T.

COMPUTERS IN BIOLOGY AND MEDICINE, cilt.24, sa.1, ss.67-76, 1994 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 1
  • Basım Tarihi: 1994
  • Doi Numarası: 10.1016/0010-4825(94)90038-8
  • Dergi Adı: COMPUTERS IN BIOLOGY AND MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.67-76
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

Respiratory sounds of pathological and healthy subjects were analyzed via autoregressive (AR) models with a view to construct a diagnostic aid based on auscultation. Using the AR vectors, two reference libraries, pathological and healthy, were built., Two classifiers, k-nearest neighbour (k-NN) classifier and a quadratic classifier, were designed and compared. Performances of the classifiers were tested for different model orders. The best classification results were obtained for model order 6.