Abstract
The present disclosure relates to a method for detection of an abnormal sleep pattern based on a dataset of Electrooculography (EOG) signals obtained from a sleeping subject over a time interval, the method comprising the steps of dividing the time interval into a plurality of subintervals, each subinterval preferably corresponding to a sleep epoch, classifying each subinterval in terms of sleep stages, thereby obtaining a temporal sleep stage pattern, wherein a subject having an uncharacteristic temporal distribution of sleep stages is characterized as having an abnormal sleep pattern.
| Original language | English |
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| IPC | A61B5/00 |
| Patent number | WO2014029764 |
| Filing date | 27/02/2014 |
| Country/Territory | International Bureau of the World Intellectual Property Organization (WIPO) |
| Priority date | 20/08/2012 |
| Priority number | EP20120181048 |
| Publication status | Published - 2014 |