| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 495968 | Applied Soft Computing | 2013 | 9 Pages |
Abstract
⺠Hypoglycaemia (low blood glucose level) is a common and serious side effect of insulin therapy for patients with diabetes. ⺠In this paper, a fuzzy inference system (FIS) is developed to recognize hypoglycaemic episodes. ⺠The FIS captures the relationship between heart rate, electrocardiogram and hypoglycaemic episodes to perform classification. ⺠An algorithm called Differential Evolution with Double Wavelet Mutation (DWM-DE) is introduced to perform turning of the FIS.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
J.C.Y. Lai, F.H.F. Leung, S.H. Ling, H.T. Nguyen,