Kalp Üfürümlerinin izlenmesi için Walsh-Hadamard Dönuiümü Tabanli Otomatik Siniflandirma Sistemi

Ayse Arslan, Ahmet Cagri Bagbaba, Baha Sen, Berna Ors

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

Cardiac auscultation that is a still widely used technique to diagnose heart murmurs induced by heart disorders. Due to the fact that this method is quite subjective and time consuming, the enhancement of diagnosis techniques would contribute significantly to clinical auscultation. Development of computer-aided auscultative diagnosis systems, which provide more objective, reliable and faster results, would reduce the classification errors that may be occurred in the cardiovascular disorder diagnosis. Such an automated auscultative diagnostic software can be implemented by using signal processing and machine learning algorithms. The presented study uses a combination of the Walsh-Hadamard transform (WHT) and Hidden Markov Model (HMM) techniques. This study clearly shows that; successful automatic murmur diagnosis kits can be developed for assisting the doctors in clinical decision making process.

Tercüme edilen katkı başlığıThe Walsh-Hadamard transform based automated grading system for monitoring of heart murmurs
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar481-485
Sayfa sayısı5
ISBN (Elektronik)9786050109238
Yayın durumuYayınlandı - 10 Şub 2017
Etkinlik2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 - Bursa, Turkey
Süre: 1 Ara 20163 Ara 2016

Yayın serisi

Adı2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

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???event.eventtypes.event.conference???2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016
Ülke/BölgeTurkey
ŞehirBursa
Periyot1/12/163/12/16

Bibliyografik not

Publisher Copyright:
© 2016 The Chamber of Turkish Electrical Engineers.

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