Koninklijke Philips Corporation N.v.

Michel Jozef Agnes Asselman

Gerard De Haan

Rieko Verhagen

Vincent Jeanne

Jonathan Alambra Palero

Albertus Cornelis Den Brinker

Murtaza Bulut

Gerrit Maria Kersten

Pieter Jan Van Der Zaag

Yannyk Parulian Julian Bourquin

Koray Karakaya

Marius Iosif Boamfa

Marinus Bastiaan Van Leeuwen

Mathivanan Damodaran

Christian Andreas Tiemann

Roland Cornelis Martinus Vulders

Solene Moreau

Rowan Cornelis Van Hoogenhuizen

Moreau Solene

According to an aspect, there is provided a method for minimising error in ambient light corrected (ALC) images due to motion. The method comprises capturing a plurality of primary images of an object over a time window, with controlled illumination of the object varying over time, performing ambient light correction on at least a portion of the plurality of primary images to generate a plurality of ambient light corrected images, each ALC image being generated based on demodulating a sub-set of the plurality of primary images with differing controlled illumination, calculating an error value for pairs of ALC images, each pair of ALC images including a first ALC image and a second ALC image and comparing the error values for each pair of ALC images and selecting an error-minimised image from the pair of ALC images having the lowest error value within the time window Calculating the error value comprises comparing each pixel of the first ALC image with a corresponding pixel of the second ALC image, and determining a change in intensity for each pixel between the first ALC image and the second ALC image, and calculating an error value for the pair of ALC images based on the change in intensity over a plurality of pixels.

Method and image capturing apparatus

The present invention relates to image analysis of pathology images. In order to improve reliability in image analysis of pathology images, a method is provided for providing support in identifying at least one feature of a tissue sample in a microscopic image. The method comprises the steps of providing a first image of a first microscopy 5 modality representing an area of the tissue sample, providing a second image of a second microscopy modality representing the said area of the tissue sample, generating a first high intensity image by applying a first high intensity filter to the first image or a first low intensity image by applying a first low intensity filter to the first image to obtain first information of the at least one feature, generating a second high intensity image by applying 10 a second high intensity filter to the second image or a second low intensity image by applying a second low intensity filter to the second image to obtain second information of the at least one feature, calculating a correlation of an image pair comprising one of the first high intensity image and the first low intensity image and one of the second high intensity image and the second low intensity image for correlating the first information and the second 15 information of the at least one feature, and outputting the calculated correlation for providing support in identifying the at least one feature of the tissue sample.

Correlated image analysis for 3D biopsy

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

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

A computer implemented method for detecting an attempt to spoof and facial recognitions apparatus determines for a plurality of spatially separated regions of a surface, a respective measure of at least one vital sign. A determination is made from the respective measures of at least one vital sign, homogeneity information associated with the respective measures, the homogeneity information is used to determine if said spatially separate regions of said surface are living tissue.

Method and apparatus for face detection/recognition systems

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 device for obtaining a vital sign of a subject, comprising an interface () for receiving a set of image frames of a subject, a motion analysis unit () for analyzing at least one measurement area within the image frames of the set of image frames and for characterizing motion of the subject within the set of image frames, a signal extraction unit () for extracting photoplethysmographic, PPG, signals from the set of image frames using the characterization of motion of the subject within the set of image frames, and a vital signs determination unit () for determining vital sign information from the extracted PPG signals. The motion analysis unit comprises a motion estimation unit (), a spatial characteristic extraction unit (), and a motion characterization unit ().

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Helmond, Netherlands

Michel Jozef Agnes Asselman