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An artificial neural network classification approach for use the ultrasound in physiotherapy

Journal of Medical Systems · Aralık 2011

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YÖKSİS Kayıtları
An Artificial Neural Network Classification Approach for use the Ultrasound in Physiotherapy
Journal of Medical Systems · 2011 SCI-Expanded
Öğr. Gör. SEMA YILDIRIM →
YÖKSİS ISSN Eşleşmesi

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An Artificial Neural Network Classification Approach for use the Ultrasound in Physiotherapy
2011 ISSN: 0148-5598 SCI-Expanded
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Makale Bilgileri

ISSN01485598
Yayın TarihiAralık 2011
Cilt / Sayfa35 · 1333-1341
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
Scimago Dergi (ISSN Eşleşmesi)
Journal of Medical Systems
Q1
SJR Skoru0,962
H-Index120
YayıncıSpringer New York
ÜlkeUnited States
Information Systems (Q1)
Medicine (miscellaneous) (Q1)
Health Informatics (Q2)
Health Information Management (Q2)
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