Koninklijke Philips Corporation N.v.

Jan Johannes Gerardus De Vries

Floris Maria Hermansz Crompvoets

Dirk Brokken

Jacobus Maria Antonius Van Den Eerenbeemd

Paul Marcel Carl Lemmens

Dieter Maria Alfons Van De Craen

Philip Steven Newton

Tatiana Aleksandrovna Lashina

Martin Ouwerkerk

Steffen Clarence Pauws

Mirela Alina Weffers-Albu

Jarno Mikael Riistama

Henricus Fransiscus Petrus Maria Van Doveren

Lukas Stefan Gorzelniak

The present disclosure relates to a method and non-transitory machine-readable storage medium encoded with instructions for using prediction models for predicting values, the medium comprising instructions for receiving a plurality of entry identifiers, instructions for receiving a value for each of the plurality of entry identifiers, instructions for determining whether the value for each of the plurality of entry identifiers has changed and a magnitude of the change, instructions for building a model for predicting a time-to-value change, instructions for building a model for predicting a future magnitude of change, instructions for performing a simulation using the model for predicting the time-to-value change and the model for predicting the future magnitude of change and instructions for outputting a confidence interval.

System and method for providing prediction models for predicting changes to placeholder values

According to an aspect there is provided an apparatus for determining a measure of the physical fitness of a subject, the apparatus comprising a processing unit that is configured to receive a first measurement signal from a first sensor that measures the force or pressure exerted on an object by the subject over time, the first measurement signal comprising measurements representing the force or pressure exerted on the object during a first movement in which the subject sits down on the object and/or during a second movement in which the subject stands up after sitting on the object; and analyze the first measurement signal to determine the measure of the physical fitness of the subject.

Determining a measure of the physical fitness of a subject

The present invention relates to a system () for supporting an elderly, frail and/or diseased person (), in particular a person suffering from Parkinson's disease, wherein the system () comprises: a detection unit () including (i) a brain activity sensor () for detecting a brain activity signal relating to the brain activity of the person () and (ii) a motion detection unit () for detecting a motion signal relating to a motion of one or more body parts of the person (); an analysis unit () for determining, based on the detected brain activity signal and motion signal, an activity level of the person () which is indicative of the motoric and cognitive activity of the person (); and a feedback unit () for providing a feedback to the person () if the activity level of the person () exceeds a predetermined threshold.

System for supporting an elderly, frail and/or diseased person

In summary the invention relates to a stimuli control system configured for finding ambient stimuli from a database in a way so that the ambient stimuli having the most promising effect on stress reduction is selected. The selection may be performed based on a probability distribution created for describing how likely it is that a given ambient stimuli has a positive effect on the stress level for a given patient or other user. The database is a multiuser database which may be updated based on experiences from users' already registered ambient stimuli.

Selection of ambient stimuli

A stress-measuring device () and method determines a level () of stress of a user (), in particular long-term stress. The stress-measuring device () includes an input interface () for receiving a skin conductance signal () indicating the skin conductance of the user (), the skin conductance signal () over time forming skin conductance trace data (). The stress-measuring device () further includes a processing unit () for processing the skin conductance trace data (). The processing unit () determines, over at least a portion of the skin conductance trace data (), values of a rise time (tr) between at least two different points of the skin conductance trace data (), a frequency distribution of the rise time (tr) values, and the level () of stress of the user () based on the determined frequency distribution.

Stress-measuring device and method

A method of adapting an environment of a terminal () includes: &#x2014;receiving data () from an external source at the terminal (); &#x2014;receiving monitoring data from a system for monitoring at least one user in the environment; and &#x2014;controlling at least one output device for providing an output perceptible in the environment, the output being adjusted in dependence on the monitoring data. At least one segment including data pertaining to at least one mental state is retrieved from the data () from the external source, and the adjustment in dependence on the monitoring data is effected at least partly on the basis of the data pertaining to the at least one mental state.

Methods and systems for adapting a user environment

Stimulation system for indicating stimulation signals to a user, provided with at least one heart beat sensor for converting measured heart beats into a signal, a processing circuit configured to process the measured heart beat signals, a user interface configured to indicate stimulation signals to a user, wherein the processing circuit is configured to calculate intervals between the detected heart beats and register a predetermined number of successive intervals, predict a time interval between a detected heart beat and a predicted future heart beat based on the registered intervals, and instruct the user interface to indicate a stimulation signal to a user non-simultaneously with the predicted heart beat at the end of the predicted time interval so as to change the heart rate and/or heart coherence of the user.

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Eindhoven, Netherlands

Jan Johannes Gerardus De Vries