A personalized approach to insulin regulation using brain-inspired neural sematic memory in diabetic glucose control.
H. K. PheeW. L. TungChai QuekPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- blood glucose
- diabetes mellitus
- diabetic patients
- blood pressure
- computational neuroscience
- control system
- motor control
- associative memory
- neural network
- short term and long term
- network architecture
- heart rate
- brain signals
- sensory motor
- artificial neural networks
- biologically plausible
- risk factors
- functional connectivity
- bio inspired
- control method
- control strategy
- context aware
- long term