公开(公告)号：US20240379247A1

公开(公告)日：2024-11-14

申请号：US18291603

申请日：2022-07-08

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： JOEP VAN BERKEL ,  ENRIQUE ANTONIO GIL PONCE ,  TIM ELISABETH JOSEPH WEIJSEN

IPC: G16H70/20 ,  G16H10/60

Abstract: A mechanism for aiding a target subject to carry out a sequence of steps, forming a journey, to make a decision or selection about future treatment or care. Historic journey information of similar subjects to the target subject is used to select or decide upon the steps to include in a recommended journey. The operation of a processing system for guiding the tangent subject in carrying out a journey may be made to be responsive to the recommended journey.

公开(公告)号：US20230187062A1

公开(公告)日：2023-06-15

申请号：US18078525

申请日：2022-12-09

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： TIM ELISABETH JOSEPH WEIJSEN ,  RAYMOND VAN EE ,  PAUL MARCEL CARL LEMMENS ,  MARIA ESTRELLA MENA BENITO ,  JOANNE HENRIËTTE DESIRÉE MONIQUE WESTERINK ,  TIMMY ROBERTUS MARIA LEUFKENS ,  WARNER RUDOLPH THEOPHILE TEN KATE

IPC: G16H40/63 ,  A61B5/16 ,  A61B5/00 ,  A61B5/11 ,  G16H15/00

CPC classification number: G16H40/63 ,  A61B5/165 ,  A61B5/7246 ,  A61B5/4818 ,  A61B5/4836 ,  A61B5/1118 ,  G16H15/00 ,  A61B2560/0247

Abstract: The present invention relates to sleepiness assessment. In order to provide a more accurate measure to predict OSA severity, an apparatus is provided for sleepiness assessment. The apparatus comprises an input unit, a processing unit, and an output unit. The input unit is configured to receive data indicative of an activity currently performed by a user. The processing unit is configured to determine, based on the activity currently performed by the user, a current situation the user is engaging in. The processing unit is configured to determine whether the current situation matches one of a plurality of pre-determined situations used for situational sleepiness assessment. In response to the determination that the current situation matches one of the plurality of predetermined situations, the processing unit is configured to send a notification to the user for a self-report of a user's current subjective sleepiness level and/or obtain a user's current objective sleepiness level from sensor data. The processing unit is further configured to generate, based on the determined situation and the user's current subjective and/or objective sleepiness level, a situational sleepiness profile indicative of a sleep disturbance on daytime sleepiness in specific situations. The output unit is configured to provide the generated situational sleepiness profile, which is preferably useable to support sleep apnea diagnostics.

公开(公告)号：US20240424237A1

公开(公告)日：2024-12-26

申请号：US18745645

申请日：2024-06-17

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： CORNELIS PETRUS HENDRIKS ,  JOACHIM JOHANNES KAHLERT ,  MARIA ESTRELLA MENA BENITO ,  JOANNE HENRIËTTE DESIRÉE MONIQUE WESTERINK ,  JOYCE VAN ZANTEN ,  PEDRO MIGUEL FERREIRA DOS SANTOS DA FONSECA ,  ELSA JOSÉPHINE SUZANNE JUAN ,  TSVETOMIRA KIROVA TSONEVA ,  DAAN ANTON VAN DEN ENDE ,  TIM ELISABETH JOSEPH WEIJSEN

IPC: A61M16/00 ,  G16H20/40

Abstract: A system and method for determining a correlation between medication intake and sleep disordered breathing, SDB, therapy outcome for a subject taking at least one type of medication and being provided with SDB therapy. The SDB therapy comprises at least positive airway pressure, PAP, therapy provided by a PAP device. Medication information, relating to a medication intake of the subject, and SDB therapy information, relating to a therapy outcome of the SDB therapy, are obtained and correlated.

公开(公告)号：US20230181037A1

公开(公告)日：2023-06-15

申请号：US18077264

申请日：2022-12-08

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： RAYMOND VAN EE ,  JOANNE HENRIËTTE DESIRÉE MONIQUE WESTERINK ,  MARIA ESTRELLA MENA BENITO ,  TIMMY ROBERTUS MARIA LEUFKENS ,  TIM ELISABETH JOSEPH WEIJSEN ,  STEFAN PFUNDTNER ,  TSVETOMIRA KIROVA TSONEVA

IPC: A61B5/00 ,  A61B5/11

CPC classification number: A61B5/0022 ,  A61B5/11

Abstract: The present invention relates to an agenda generation system (10), comprising:



at least one first sensor unit (20); an input unit (30); a processing unit (40); and at least one output unit (50);
wherein the at least one first sensor unit is configured to acquire physiological data of a subject over an extended period of time prior to a current time point and provide the physiological data to the processing unit, wherein the physiological data is assigned to different times during the extended period of time, and wherein the physiological data comprises one or more of: heart rate, ventricular high rate, blood pressure, respiration rate, skin conductance, step count;
wherein the at least one first sensor unit is configured to acquire sleep data of the subject over the extended period of time and provide the sleep data to the processing unit, wherein the sleep data is assigned to different times during the extended period of time, and wherein the sleep data comprises one or more of: duration of sleep; total daily sleep duration, onset of sleep, quality of sleep,
wherein the input unit is configured to receive details of undertaken work data and undertaken leisure activity data of the subject over the extended period of time and provide the undertaken work data and undertaken leisure activity data to the processing unit, and wherein the undertaken work data and undertaken leisure activity data is assigned to different times during the extended period of time;
wherein the input unit is configured to receive details of planned work data and planned leisure activity data of the subject after the current time point and provide the planned work data and planned leisure activity data to the processing unit;
wherein the processing unit is configured to implement at least one trained machine learning algorithm to determine a sleep schedule comprising a planned onset and duration of sleep and/or determine a work schedule comprising scheduling of the planned work data and/or determine a leisure schedule comprising scheduling of the planned leisure activity data, and wherein the determination comprises analysis of: the physiological data, the sleep data, the undertaken work data, the undertaken leisure activity data, the planned work data, and the planned leisure activity data; and
wherein one or more of the at least one output unit is configured to output the sleep schedule and/or the work schedule and/or the leisure schedule.