Classification of lung sounds using convolutional neural networks

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Aykanat M., Kilic O., Kurt B., SARYAL S. B.

EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, cilt.2017, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 2017
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1186/s13640-017-0213-2
  • Dergi Adı: EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: Machine learning, Convolutional neural networks, Deep learning, Lung sounds, BREATH SOUNDS, RESPIRATORY SOUNDS
  • Ankara Üniversitesi Adresli: Evet

Özet

In the field of medicine, with the introduction of computer systems that can collect and analyze massive amounts of data, many non-invasive diagnostic methods are being developed for a variety of conditions. In this study, our aim is to develop a non-invasive method of classifying respiratory sounds that are recorded by an electronic stethoscope and the audio recording software that uses various machine learning algorithms.