Scopus
YÖKSİS Eşleşti
An artificial neural network classification approach for use the ultrasound in physiotherapy
Journal of Medical Systems · Aralık 2011
YÖKSİS Kayıtları
An Artificial Neural Network Classification Approach for use the Ultrasound in Physiotherapy
Journal of Medical Systems · 2011 SCI-Expanded
ÖĞRETİM GÖREVLİSİ SEMA YILDIRIM →
Makale Bilgileri
DergiJournal of Medical Systems
Yayın TarihiAralık 2011
Cilt / Sayfa35 · 1333-1341
Scopus ID2-s2.0-84856218408
Özet
In this study, a classification to be used in physiotherapy was realized by means of Artificial Neural Network (ANN). The aim of the classification was to determine the treatment length and appropriate ultrasound value for the age of physiotherapy patients, the area on which ultrasound will be applied, the fat rate in tissue and related factors. For this purpose, the patient information obtained from Selçuk University, Meram School of Medicine Hospital, Physiotherapy Department was used. In order to identify the appropriate ultrasound value and treatment length for the patient, the ultrasound therapy device realized with ANN was placed together in an embedded system. The results obtained by means of the designed and realized embedded system were compared with data gathered from an expert. As a result, the data obtained from the designed system were found out to be in line with the existing data. © 2009 Springer Science+Business Media, LLC.
Yazarlar (2)
1
Hakan Işik
2
Sema Arslan
Anahtar Kelimeler
Artificial neural network
Ultrasonic therapy
Ultrasound
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
7
Atıf
2
Yazar
3
Anahtar Kelime