发明名称 SLEEP MONITORING DEVICE
摘要 A sleep monitoring device (120) for monitoring sleep states of a human, the sleep monitoring device is configured to receive movement data of the resting human from a movement measurement device (112), the sleep monitoring device (120) comprises a movement data analyzer (130) configured to compute from the movement data at least: heart beat data and respiration data,and physical activity a data classifier (140) configure to determine a heart rate regularity valuation of the heart beat data within a time interval, and to determine a respiration regularity valuation of the respiration data within the time interval, a sleep classifier (150) configured to obtain a sleep state for the time interval from at least the respiration regularity valuation and the heart rate regularity valuation.
申请公布号 US2016270721(A1) 申请公布日期 2016.09.22
申请号 US201415037349 申请日期 2014.11.27
申请人 KONINKLIJKE PHILIPS N.V. 发明人 RAYMANN ROY JOAN ELI MARIE;ZWARTKRUIS-PELGRIM PETRONELLA HENDRIKA;BEREZHNYY IGOR
分类号 A61B5/00;A61B7/04;A61B5/0205 主分类号 A61B5/00
代理机构 代理人
主权项 1. A sleep monitoring device for monitoring sleep states of a human, the sleep monitoring device is configured to receive movement data of the resting human from a movement measurement device, the sleep monitoring device comprises a movement data analyzer configured to compute from the movement data at least: heart beat data, respiration data, gross movement data, and fine movement data, a data classifier configured to determine a heart rate regularity valuation of the heart beat data within a time interval, to determine a respiration regularity valuation of the respiration data within the time interval, to determine a gross movement extent indicating an extent of the gross movement of the human within the time interval, and to determine a fine movement extent indicating an extent of the fine movement of the human within the time interval, wherein the data classifier is configured to compute a movement extent from the movement data, if the movement extent is over a first threshold, then gross movement is determined, if the movement extent is over a second threshold but not over the first threshold then fine movement is present, the second threshold being smaller than the first threshold, if the movement extent is below the second threshold then neither fine nor gross movement is determined, and a sleep classifier configured to obtain a sleep state for the time interval from at least the respiration regularity valuation, the heart rate regularity valuation, the gross movement extent, and the fine movement extent.
地址 Eindhoven NL