Koninklijke Philips Corporation N.v.

Signify Holding B.v.

Philips Lighting Holding B.v.

Murtaza Bulut

Cornelis Petrus Hendriks

Valentina Lavezzo

Albertus Cornelis Den Brinker

Lieke Gertruda Elisabeth Cox

Michel Jozef Agnes Asselman

Gerrit Maria Kersten

Vincent Jeanne

Mark Thomas Johnson

Ronaldus Maria Aarts

Warner Rudolph Theophile Ten Kate

Maarten Petrus Joseph Kuenen

Paul Anthony Shrubsole

Mark Anthony Hennessy

Gerard De Haan

Cornelis Reinder Ronda

Jonathan Alambra Palero

Charles Frederik Sio

Christian Andreas Tiemann

Chaitanya Dongre

Vincentius Paulus Buil

Kars-Michiel Hubert Lenssen

Alphons Antonius Maria Lambertus Bruekers

Martin Ouwerkerk

Koray Karakaya

Eduard Gerard Marie Pelssers

Kiran Hamilton J Dellimore

Ron Martinus Laurentius Van Lieshout

Sima Asvadi

Jun Shi

Joanne Henriette Desiree Monique Westerink

Vojkan Mihajlovic

Radu Serban Jasinschi

Raymond Van Ee

Aart Tijmen Van Halteren

Hernán Guillermo Morales Varela

Marcel Cornelis Dirkes

Joanne Henriëtte Desirée Monique Westerink

Rohan Joshi

Luca Bellodi

Qiushi Zhang

Kars-Michiel Hurbert Lenssen

Maria Estrella Mena Benito

Lieke Gertrude Elisabeth Cox

Bjorn Stemkens

Hilbig Rainer

A method of developing a personalized digital model of an anatomy of a person by a computer system comprising a processor arrangement and a communication module. The processor arrangement receives input data on an actual physical condition of the person from the communication module; searches a database of digital models modelling different physical conditions and selects a digital model from said database that closely matches the actual physical condition of the person based on some received input data; personalizes the selected digital model by developing the modelled physical condition of the selected digital model with a physiological development model based on received input data such that the developed modelled physical condition closely resembles said actual physical condition; and generates an output of the personalized digital model of said person on a data storage medium. Also disclosed, a computer program product and computer system for implementing the method.

Digital twin of a person

A system for predicting the onset of a physiological condition of a subject combines an in-vitro subject model having input parameters relating to actual or predicted external stimuli to which the subject is or may be exposed and an in-silico model. The in-vitro model outputs subject-specific parameters which are not being monitored, or cannot be monitored, in-vivo. The in-silico subject model uses subject-specific parameters to predict the response of the subject to the actual or predicted external stimuli and thereby predict an onset of a physiological condition of the subject.

Predicting the onset of a physiological condition of a subject using a digital biophysical model

Embodiments are described herein for training machine learning models using digital twin outputs, including for purposes of pain quantification and estimation. In various embodiments, simulation parameter(s) may be applied to a digital twin created for a subject. The digital twin may simulate an anatomical structure of the subject, and the simulation parameter(s) may cause the digital twin to generate digital twin output that simulates behavior of the anatomical structure in response to the one or more simulation parameters. Data indicative of the digital twin output may be applied as input across a pain estimation machine learning model to generate pain estimation output. Based on the pain estimation output, a quantification of pain, e.g., an estimated pain score, may be rendered using an output device and/or used to select a treatment plan.

Quantification and estimation based on digital twin output

A computer system is disclosed comprising a processor arrangement communicatively coupled to a data storage arrangement storing a digital model of a section of a lumen system of a patient; and a communication module communicatively coupled to said processor arrangement and arranged to receive sensor data pertaining to an internal parameter of said lumen system from a sensor within said section of the lumen system. The processor arrangement is arranged to receive said sensor data from the communication module; retrieve said digital model from the data storage arrangement; simulate an actual physical condition of said lumen system by developing said digital model based on the received sensor data; and generate an output relating to said simulated actual physical condition for updating an electronic device. Also disclosed is a method of monitoring a patient with such a computer system, a computer program product for implementing such a method and a patient monitoring system.

Patient lumen system monitoring

A user device comprises an app that stores and maintains exclusive control of user data, and causes one or more processors to send a request for services according to a trial period to a distributed ledger associated with service providers and anonymously interact with the service providers according to a set of rules maintained in the distributed ledger by passing along a token uniquely associated with the user during for the respective interaction with each service provider without the user data being shared with the service providers.

Privacy preserving personal health record service ecosystem trials

A computer-implemented method that receives at an apparatus a request from a first computing device for access to information related to a first user data set; determines, or receives an indication of a determination, whether the first computing device can access the information based on criteria for sharing information, the criteria based on one or more characteristics of the first user data set and a second user data set accessible by the first computing device; and provide a response based on the determination, the response preserving privacy of a user corresponding to the first user data set.

Privacy ensuring personal health record data sharing

Presented is a system and method for assessing the functional ability of a person to perform a task. The system comprises: a task identification unit adapted to identify the task to be performed by the person; and a task complexity unit adapted to obtain a task-specific complexity signal representative of a required level of functional ability to perform the identified task. A functional ability unit is adapted to obtain a functional ability signal representative of a determined functional ability of the person. An assessment unit is adapted to determine an ability of the person to perform the identified task based on the task-specific complexity signal and the functional ability signal.

Assessing the functional ability of a person to perform a task

The present invention relates to a device, system and method for determining a vital sign of a person. To improve accuracy and reliability of vital sign determination, the device comprises an input unit () for obtaining a vital sign related signal of at least a body part of the person, from which a vital sign can be derived, a body part position determining unit () for determining if said body part of the person is in contact with a support or not and generating a contact signal indicating if said body part is in contact with the support or not, a quality metric setting unit () for setting, based on said contact signal, a quality metric for use in the determination of a vital sign of the person, and a vital sign deriving unit () for deriving a vital sign from the obtained vital sign related signal, wherein the set quality metric is used in the derivation of the vital sign and/or in a judgment of the reliability of a derived vital.

Device, system and method for determining a vital sign of a person

Disclosed is a method () of providing a personalized parameter model of at least part of the physiology of a person () carrying a set of sensors () with a computer system () comprising a processor arrangement () for the purpose of updating a biophysical model or digital twin of the person. The method comprises, with said processor arrangement, receiving () sensor data from said set of sensors with the communication interface over a defined period of time, the sensor data from each sensor representing a parameter relevant to an actual physiological state of the person; evaluating () the received sensor data from each sensor to define the personalized parameter model (), said model including the evaluated dynamic behaviour of the values of each parameter observed with said sensors over the defined period of time and providing () the defined personalized parameter model for updating a digital model () of at least part of the anatomy of said person. Also disclosed is a method () for updating such a digital twin in which the digital twin is updated using such a personalized parameter model. In addition, a computer program product for implementing such methods and a computer system () implementing such methods are also disclosed.

Digital twin updating

In order to help reduce the effects of motion sickness, there is provided a method for reducing motion sickness in a subject which comprises acquiring a sequence of video images, extracting measurements of a heart-rate of the subject over a first period of time from the sequence of video images using photoplethysmography (PPG), calculating at least one trend in the measurements, determining a presence of motion sickness when the at least one trend is positive over a first time window, the first time window being included in the first period of time, and generating an event arranged to generate a corrective action. It is often possible to detect the onset of motion sickness before the subject actually feels the symptoms. Indeed, by the time the symptoms appear, corrective action is much less effective. Therefore, by detecting the onset early and alerting the subject so that they can react, it is possible to avoid the attack of motion sickness or, at least, reduce significantly its effects.

System and method for detecting motion sickness

There is provided a method of assessing the reliability of a measurement of blood pressure of a subject, the method in a control unit of an apparatus comprising obtaining a first measurement of at least one physiological characteristic of the subject that is indicative of the level of pain and/or stress of the subject, wherein the first measurement is made prior to a measurement of blood pressure being made; obtaining the measurement of blood pressure of the subject; obtaining a second measurement of the at least one physiological characteristic of the subject, wherein the second measurement is made after the measurement of blood pressure is made and prior to a subsequent measurement of blood pressure being made; and determining if the measurement of blood pressure is reliable based on the first measurement and the second measurement, wherein the measurement of blood pressure is determined to be reliable if the first measurement and the second measurement indicate a low level of pain and/or stress. A corresponding apparatus that implements the method is also provided.

Method of assessing the reliability of a blood pressure measurement and an apparatus for implementing the same

A method and system for determining an amount of risk an air pollutant poses to a subject. A risk level is calculated by determining a dosage of the air pollutant, received by the subject over a predetermined period of time, and obtaining historic information about historic dosages of the air pollutant. The risk level is then calculated using the dosage and the historic information to thereby determine a risk level associated with the accumulated deposition of the air pollutant in the portion of the subject's respiratory tract.

Determining a risk level posed by an air pollutant

The present invention relates to a device, system and method for CO2 monitoring. To enable continuous monitoring at low cost and in a simple manner, the device comprises a signal input () for obtaining one or more monitoring signals () of a monitored area, a breathing monitor () for determining one or more breathing parameters () of one or more subjects present in the monitored area from the obtained one or more monitoring signals, and a CO2 estimation unit () for estimating the CO2 level () in the monitored area based on the determined one or more breathing parameters.

Device, system and method for CO2 monitoring

There is provided a method, apparatus and system for method for tailoring at least one subsequent communication to a user. Data acquired on the user in connection with a plurality of communications to the user is processed to determine a value for one or more characteristics indicative of a state of the user in connection with each communication. At least one communication parameter is varied in respect of each communication. The values for the one or more characteristics indicative of the state of the user that are determined in connection with each communication are compared to identify one or more communication parameters that are most suitable for the user. One or more communication parameters are set for the at least one subsequent communication to the user according to the one or more identified communication parameters. The subsequent communication to the user is enabled based on the set one or more communication parameters.

Method, apparatus and system for tailoring at least one subsequent communication to a user

In one embodiment, a computer-implemented method comprising receiving data corresponding to an interaction with a user; based on the received data, predicting a moment in time when a state of the user is likely to change; and causing a change in one or a combination of message function characteristics or data collection function characteristics at the moment in time.

Proximity triggered sampling

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Eindhoven, Netherlands

Murtaza Bulut