Eli Lilly and Company
SYSTEMS AND METHODS FOR SLEEP DETECTION

Abstract:

Methods and systems are provided for determining when a subject is awake or asleep based on movement data derived from a movement sensor worn by the subject during a monitoring period. The methods/systems comprise processing the movement data using a linear programming support vector regression (LP-SVR) algorithm to derive a set of support vectors, analyzing the support vectors to determine a first set of time periods within which a measure of density over time of the support vectors is below a predetermined threshold, and to determine a second set of set of time periods within the monitoring period within which the measure of density over time of the support vectors is above the predetermined threshold. The first set of time periods are when the subject is likely to be asleep, while the second set of time periods are when the subject is likely to be awake.