An Artificial Neural Network Classification Approach for use the Ultrasound in Physiotherapy
Küçük Resim Yok
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SPRINGER
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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 Sel double dagger uk 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.
Açıklama
Anahtar Kelimeler
Ultrasound, Ultrasonic therapy, Artificial neural network
Kaynak
JOURNAL OF MEDICAL SYSTEMS
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
35
Sayı
6
