Control of a Thermoelectric Brain Cooler by Adaptive Neuro-Fuzzy Inference System       
Yazarlar (4)
Raşit Ahıska
Gazi Üniversitesi, Türkiye
Doç. Dr. Abdullah Hakan YAVUZ Tokat Gaziosmanpaşa Üniversitesi, Türkiye
M Kaymaz
İnan Güler
Gazi Üniversitesi, Türkiye
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale
Dergi Adı Instrumentation Science & Technology
Dergi ISSN 1525-6030 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q4
Makale Dili İngilizce
Basım Tarihi 10-2008
Cilt No 36
Sayı 6
Sayfalar 636 / 655
DOI Numarası 10.1080/10739140802451287
Makale Linki http://dx.doi.org/10.1080/10739140802451287
Özet
In this study, neuro-fuzzy control of a thermoelectric head cooler system (thermoelectric helmet) is developed for brain hypothermia applications. Hypothermia is a medical treatment method of protecting the brain, in which the temperature of the brain drops below the critical level for reducing oxygen consumption of tissues. The brain should be kept at a certain temperature by a suitable control for hypothermia applications. The temperature of the thermoelectric head cooler system changes according to the current intensity supplied. The control of the thermoelectric head cooler system was performed according to the initial membership functions, which was determined by an expert using fuzzy logic control. The system was modeled by an adaptive neuro-fuzzy inference system (ANFIS). The data were then entered into the system and new membership functions were determined. By this way, learning ability of the artificial neural network and the abilities of fuzzy logic, such as decision making, were combined and a more effective solution was developed. The system software can be reprogrammed with the new membership functions.
Anahtar Kelimeler
ANFIS | Fuzzy logic | Hypothermia | Neuro-fuzzy | Thermoelectric