AGENDA GENERATION SYSTEM

• Main Authors: PFUNDTNER, Stefan, WESTERINK, Joanne Henriëtte Desirée Monique, LEUFKENS, Timmy Robertus Maria, MENA BENITO, Maria Estrella, TSONEVA, Tsvetomira Kirova, WEIJSEN, Tim Elisabeth Joseph, VAN EE, Raymond
• Format: Patent
• Language: English; French; German
• Published: 14.06.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

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; andwherein 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.