Koninklijke Philips Corporation N.v.

Dolby International Ab

Fraunhofer-gesellschaft Zur Foerderung Der Angewandten Forschung E.v.

Voiceage Corporation

Technische Universiteit Eindhoven

Koninklijke Philips Electronics N.v.

Albertus Cornelis Den Brinker

Arnoldus Werner Johannes Oomen

Andreas Johannes Gerrits

Murtaza Bulut

Erik Gosuinus Petrus Schuijers

Gerard Herman Hotho

Michel Jozef Agnes Asselman

Gerard De Haan

Dirk Jeroen Breebaart

Mareike K Klee

Vincent Jeanne

Okke Ouweltjes

Koray Karakaya

Neil Francis Joye

Franciscus Hendrikus Van Heesch

Manuela Lunz

Armin Gerhard Kohlrausch

Lars Villemoes

Achim Gerhard Rolf Koerber

Jeroen Herman Lammers

Denny Mathew

Andrew David Mitchell

Leendert Van Der Tempel

Heiko Purnhagen

Bernhard Grill

Ralf Geiger

Nikolaus Rettelbach

Max Neuendorf

Jérémie Lecomte

Stefan Bayer

Steffen Weiss

Jonathan Alambra Palero

Redwan Salami

Ihor Olehovych Kirenko

Bruno Bessette

Yannyk Parulian Julian Bourquin

Philippe Gournay

Robert J Sluijter

Thomas Maria Falck

Marco Baragona

Kiran Hamilton J Dellimore

Gerrit Maria Kersten

Gabriele Spina

Lenneke Van Genugten

Teunis Johannes Vink

Evgeny Verbitskiy

Wenjing Wang

Roch Lefebvre

Jan Hendrik Wuelbern

Marek Zbigniew Szczerba

Thomas Falck

Privender Kaur Saini

Mun Hum Park

Lili-Marjan Brockhuis

Albert Garcia Tormo

Fransiscus Marinus Jozephus De Bont

Arnoldus W J Oomen

Pascal De Graaf

Sander Kruitwagen

Kevin Paul Warmerdam

Edwin Van Rutten

Marc Klein Middelink

Wenjin Wang

Frank Bies

Christian Andreas Tiemann

Karl Jonas Roden

Erik G P Schuijers

Lili-Marjan Boelens-brockhuis

Lucja Elzbieta Segaar

Arnoldus Werner Johanees Oomen

Christophe Alain Bernard Hoeppe

François Philippus Myburg

Harold Johannes Antonius Brans

Julien Thomas Senegas

Lena Christina Frerking

Mareike Klee

Samer Bou Jawde

Lars F Villemoes

François P Myburg

Karl J Röden

A vital sign detection system comprises a camera () configured to acquire image frames from an examination zone (). A signal processor () derives vital sign information from the acquired image frames. An illumination controller () controls illumination of the examination zone, generates temporal modulations of the illumination and synchronise the camera frame rate with the modulated illumination. The vital sign detection system of the invention achieves to increase the dynamic range and hence also the signal-to-noise ratio of the vital sign signal.

Camera-based vital sign detection

A method of monitoring an operation of an electric breast pump () using an external smart device () is provided. The external smart device () comprises a vibration detection unit () for detecting vibrations emitted from the breast pump (). The detected vibrations are analyzed to extract information regarding the operation of the electric breast pump (). The information comprises at least one of mode of operation and settings of the modes of operation of the breast pump (). The extracted information can be outputted.

Method of monitoring an operation of an electric breast pump

There is provided an apparatus () for detecting subjects with disordered breathing. The apparatus () comprises one or more processors () configured to acquire an acoustic signal from an acoustic sensor () in an environment, determine a plurality of acoustic signal components from the acquired acoustic signal and determine a plurality of signal envelopes or energy signals based on the acoustic signal components. One or more processors () are also configured to analyze the determined plurality of signal envelopes or energy signals to detect whether there are one or more subjects in the environment with disordered breathing.

Detecting subjects with disordered breathing

The present invention relates to a device, system and method for pulsatility detection. The proposed device comprises an input interface () for obtaining image data of a scene, said image data comprising a time sequence of image frames, an extraction unit () for extracting a time-varying signal indicative of a periodic physiological phenomenon from a region of interest of said image data, a transformation unit () for transforming said time-varying signal into a spectral signal, a partitioning unit () for partitioning the spectral signal into at least an in-band sub-signal covering a first frequency range of said spectral signal and an out-band sub-signal covering a second frequency range of said spectral signal, wherein said first frequency range comprises at least a frequency range of the periodic physiological phenomenon, an analysis unit () for separately deriving an in-band measure from the in-band sub-signal and an out-band measure from the out-band sub-signal, the in-band measure and the out-band measure representing a descriptor, and a classifier () for classifying said region of interest as a pulsatile region of a living being or as a non-pulsatile region based on the descriptor.

Device, system and method for pulsatility detection

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

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

A method of characterizing a patient's disordered breathing during a sleeping period includes performing a first partial characterization of a time axis of an audio signal in order to learn the most prominent and highly relevant events. Only at a later stage, i.e., after sufficient observation of the highly relevant events, is a full segmentation of the entire time axis actually carried out. Linear prediction is used to create an excitation signal that is employed to provide better segmentation than would be possible using the original audio signal alone. Warped linear prediction or Laguerre linear prediction is employed to create an accurate spectral representation with flexibility in the details provided in different frequency ranges. A resonance probability function is generated to further characterize the signals in order to identify disordered breathing. An output includes a characterization in any of a variety of forms of identified disordered breathing.

Method of characterizing sleep disordered breathing

Various improvements are provided to breathing training, monitoring and/or assistance devices. A portable device is provided which optionally includes a gas canister, a feedback system for implementing pressure control, and a visual output for indicating adherence to a breathing exercise to the user. The pressure control may provide regulation of different pressures for inhalation and exhalation.

Breathing training, monitoring and/or assistance device

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.

The present invention relates to a device, system and method for obtaining a vital signal of a subject. To achieved increased robustness against motion, the device comprises a decomposition unit () for performing a spectral decomposition of at least two photoplethysmography detection signals being related to a physiological property of the subject and allowing extraction of a vital sign of the subject to obtain two or more spectral components of the detection signals. A weight is determined per spectral component based on an estimate of the relevance of the respective spectral component to the vital sign, derived from a characteristic of said spectral component. Finally, a vital sign is obtained by weighting at least part of the spectral components with the determined corresponding weight and extracting a vital sign from the weighted spectral components or by extracting two or more vital sign sub-signals from individual spectral components of the at least two detection signals and, weighting the extracted vital sign sub-signals with the determined weight of the corresponding spectral component, and extracting a vital sign from the weighted vital sign sub-signals.

Device, system and method for obtaining a vital signal of a subject

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

The present invention relates to a system () and method () capable of indirectly monitoring respiratory and cardiac variables. A decomposition technique on time-series of features extracted from the chest audio signal &#x3b1;(t) is proposed. The proposed monitoring system () may acquire the acoustic signal on the chest of a subject () by means of a wearable transducer (). The proposed system may estimate a number of physiological variables such as flow estimates, respiration rate, inspiration and expiration markers and cardiac related variables. Cough and apnea detection, adventitious sound recognition, activities performed, and information about energy estimation and the status of a monitored subject can be derived as well.

Acoustic monitoring system, monitoring method, and monitoring computer program

There is provided a system and method of assessing the quality of the extraction of the signal and the reliability of the physiological measurement by providing a system for producing a quality metric for physiological information extraction from a sequence of image frames, the system comprising a signal extraction unit configured to extract a signal representative of a physiological characteristic from a plurality of the image frames, a signal analyzer configured to calculate a plurality of physiological information results from the signal using a plurality of calculation functions, the plurality of calculation functions being comprised within a list of calculation functions, each physiological information result being calculated using a different calculation function, and a quality metric calculator for calculating a quality metric value based on a signal analysis metric derived from a comparison between the physiological information results of the plurality of physiological information results.

Apparatus and method for measuring the quality of an extracted signal

The present invention relates to a medical feedback system () based on sound analysis in a medical environment. With a sound scene analyzer (SSA,) being capable of analyzing and classifying an audio signal so as to obtain a list of one or more sound sources in the medical environment surrounding the patient, and a sound-level analyzer (SLA,) being capable of providing an indicator for perceived levels of corresponding sound from the list of sound sources, advanced sound analysis is possible. Finally, a sound classifier (SC,) is arranged for classifying said list of one or more sound sources in a medical environment with respect to a degree of avoidability, and generating a corresponding feedback signal (FEED,) for appropriate action by medical personal, patients and/or visitors.

Medical feedback system based on sound analysis in a medical environment

Growing community of inventors

Eindhoven, Netherlands

Albertus Cornelis Den Brinker