Koninklijke Philips Corporation N.v.

Philips Intellectual Property & Standards Gmbh

Privender Kaur Saini

Ronaldus Maria Aarts

Mareike K Klee

Thomas Erik Amthor

Albertus Cornelis Den Brinker

Maarten Peter Bodlaender

Evert Jan Van Loenen

Lenneke Van Genugten

Neil Francis Joye

Kiran Hamilton J Dellimore

Franciscus Hendrikus Van Heesch

Gerd Lanfermann

Manuela Lunz

Joanne Henriette Desiree Monique Westerink

Richard Daniel Willmann

Juergen Te Vrugt

Stefan Winter

Raymond Van Ee

Joyca Petra Wilma Lacroix

Richard Vdovjak

Wilhelmus Johannes Joseph Stut

Edwin Heijman

Frank Wartena

Joanne Henriëtte Desirée Monique Westerink

Felix Henric Govert Ogg

Gabriele Spina

Christian Andreas Tiemann

Chevone Marie Barretto

Rita Priori

Sander Kruitwagen

Kevin Paul Warmerdam

Edwin Van Rutten

Maartje Helena Schonenberg

Christopher Günther Leussler

Sanne Nauts

Mieke Kleppe

Joanne H D M Westerink

Felix H G Ogg

Angela Grassi

Annick Timmermans

Marian Dekker

Charlotte Vinkers

Petronella H Pelgrim

Wilhelmus J J Stut

Annick A A Timmermans

Richard D Willmann

Pedro Miguel Ferreira Dos Santos Da Fonseca

David Aaron Troxell

Mareike Klee

Christoph Günther Leussler

Peter Caesar Mazurkewitz

An apparatus for monitoring patients undergoing a Magnetic Resonance Image (MRI) scan provides an input, a processor, and an output. The input provides the processor with at least one sensor data of a patient undergoing an MRI scan by an MRI scanner. The input provides the processor with at least one scan parameter of the MRI scanner for the MRI scan. The input also provides the processor with at least one characteristic of the patient. The processor predicts a stress level of the patient and/or a motion state of the patient, the prediction or predictions utilize at least one sensor data of the patient, the at least one scan parameter of the MRI scanner, and the at least one characteristic of the patient. The output outputs information relating to the predicted stress level of the patient and/or the predicted motion state of the patient.

Apparatus for monitoring of a patient undergoing a magnetic resonance image scan

The invention relates to a system and a method for determining a severity of a respiratory disease of a patient. The patient is instructed by a system to recite a phrase. The system receives the phrase recited by the patient as acoustic signal and analyzes the acoustic signal with respect to a severity of a respiratory disease. The result of the analysis is provided, which is indicative for the severity of the respiratory disease of the patient.

Automated and objective symptom severity score

A breathing training, monitoring and/or assistance device is provided for home use. The device is for providing support and guidance during the training of breathing exercises. The device takes account of external data which relates to one or more of: the environmental conditions in which the device is being used; activity information in respect of the user; physiological sensor data about the user which is not related to breathing characteristics.

Breathing training, monitoring and/or assistance device

The present disclosure pertains to a system for facilitating configuration modifications for a patient interface computer system based on an equivalent effort parameter. In some embodiments, the system obtains (i) one or more first measurements associated with a first subject, the first subject having a clinical coefficient, (ii) one or more second measurements associated with a second subject. The system determines (i) a first effort parameter based on the one or more first measurements, (ii) a second effort parameter based on the one or more second measurements, and (iii) an equivalent effort factor for the first subject based on the one or more first measurements, the one or more second measurements, and the clinical coefficient. The system causes a configuration of the patient interface computer system to be modified based on the equivalent effort factor.

Modifying a patient interface computer system based on an equivalent effort parameter

The present invention relates to a device for providing feedback to a user relating to a behavior of the user, said device comprising, a data interface for obtaining context data indicative of a context of the user; a processor for determining whether the obtained context data are characterized by a context pattern, wherein the context pattern characterizing context data relating to a particular behavior of the user; a user interface configured to obtain a behavior input indicative of a currently performed behavior or of an urge to perform a behavior; and a database for storing the behavior input along with context data obtained simultaneously to the behavior input and/or along with context data obtained prior to the behavior input; wherein the processor is configured to determine a context pattern based on the content of the database; and wherein the user interface is configured for providing feedback to the user if the obtained context data are characterized by the context pattern.

Device, system and method for providing feedback to a user relating to a behavior of the user

A method for determining a viewing configuration of a rendered figure of a rehab-patient or a sports trainee, aiming to deliver a suitable view on the rendered figure, the method comprising the steps of capturing motion data in the 3D space of one or more body parts of the rehab-patientor the sports trainee and providing them to a computer; and further the step of performing on the computer measurements of deviation of the captured motion data from a reference list of motion data and/or measurements of main motion direction; and based on the results of the above measurements, determining the viewing configuration.

Method and system for selecting the viewing configuration of a rendered figure

A method and a device for reducing snore annoyances include determining a snore sound pattern of a snoring person to predict an upcoming snore sound level. A faked snore sound is played to flatten the resulting snore sound level.

Method and device for reducing snore annoyances

A stressor detection system () comprises sensor means () arranged for being attached to a person for obtaining a time-varying signal representing a physical quantity relating to an environment of the person, and processing means () for deriving a stressor value from the obtained signal representing a degree to which the environment is inducing stress in the person. The processing means is arranged for deriving an amount of complexity comprised in the signal, and for deriving a higher stressor value for a larger amount of information. The processing means is further arranged for performing a spectral frequency analysis of the signal and for deriving the stressor value also in dependence on the spectral frequency analysis. The sensor means comprises a microphone (), a camera (), and a tri-axial accelerometer.

Stressor sensor and stress management system

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Veldhoven, Netherlands

Privender Kaur Saini