Patent ID: 8298140
Filing Date: 2012-10-30
Classification: A61B

Abstract:
1. A method for the analysis of EEG signals to detect features therein which are indicative of hypoglycaemia comprising: dividing EEG signals into a sequence of time segments, for each time segment determining whether a pattern of EEG signals is present which is indicative of hypoglycaemia and, where a pattern of EEG signals indicative of hypoglycaemia is determined to be present in a time segment, recording this as an event, integrating the number of events recorded during a selected number of preceding time segments which together constitute a selected time period, and determining that the EEG signals are indicative that hypoglycaemia is present based on said integration, wherein said integration is performed as a weighted integration in which events detected in time segments further back in time are given a lesser weighting than events detected in more recent time segments.