Neuroglycopenic hypoglycaemia in insulin-treated diabetic patients is associated with characteristic changes in EEG with a decrease in alpha activity and an increase in delta and theta activity. We have recently demonstrated that hypoglycaemia-associated EEG-changes can be recorded from subcutaneously placed electrodes using an automated mathematical algorithm based on non-linear spectral analysis. Experimental findings hold promises that an alarm, given at the time of EEG-changes, can help the patients to avoid severe hypoglycaemia by ingestion of carbohydrate.