In silico testing of optimized Fuzzy P plus D controller for artificial pancreas

SOYLU S., DANIŞMAN K.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, cilt.38, sa.2, ss.399-408, 2018 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 2
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1016/j.bbe.2018.02.009
  • Dergi Adı: BIOCYBERNETICS AND BIOMEDICAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.399-408
  • Erciyes Üniversitesi Adresli: Evet

Özet

Background and objectives Despite therapeutic advances, a complete cure has not been found yet for patients with type 1 diabetes (T1D). Artificial pancreas (AP) is a promising approach to cope with this disease The controller part of the AP can compute the insulin infusion rate that keeps blood glucose concentration (BGC) in normoglycemic ranges Most controllers rely on model-based controllers and use manual meal announcements or meal detection algorithms. For a fully automated AP, a controller only using the patient's BGC data is needed