Abstract: Methods and systems are described for controlling a flowrate of insulin infused into the body of a patient. An insulin infusion device infuses insulin into the body of the patient. A first sensor generates blood glucose level (BGL) data indicative of a blood glucose level of the patient. A second sensor generates autonomic nervous system (ANS) data such as heart rate data dependent on at least one parameter of the patient's autonomic nervous system. A data fusion processor receives the BGL data and the ANS data and generates an output alarm signal if a hypoglycaemic event is inferred. A flowrate of insulin of the insulin infusion device may be modified dependent on the output alarm signal.

Abstract: A method and system are described for detecting a hypoglycaemic state in a patient. The patient's heart rate is monitored to provide a heart-rate signal. A time-lagged signal is determined as the difference between the heart-rate signal and a time-lagged version of the heart rate-signal. The heart-rate signal is filtered with a low-pass filter to provide a heart-rate trend. An absolute difference between the heart-rate signal and the heart-rate trend is determined to provide an absolute-difference signal. A second time-lagged signal is determined as a difference between the absolute-difference signal and a time-lagged version of the absolute-difference signal. The occurrence of a hypoglycaemic condition is inferred dependent on the time-lagged signal and the second time-lagged signal.