Abstract: According to an aspect, there is provided a method for minimising error in ambient light corrected image due to motion, the method comprising: capturing a plurality of primary images with controlled intensity of illumination varying over time, estimating an error value due to motion for each of a plurality of sub-sets of the plurality of primary images, and performing ambient light correction on an error minimised sub-set of primary images having the lowest estimated error value to generate an ambient light corrected (ALC) image with a minimised error.

Abstract: 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 (20) 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 (21) 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 (22) 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 (23) 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 (10) for obtaining one or more monitoring signals (20) of a monitored area, a breathing monitor (11) for determining one or more breathing parameters (21) of one or more subjects present in the monitored area from the obtained one or more monitoring signals, and a CO2 estimation unit (12) for estimating the CO2 level (22) in the monitored area based on the determined one or more breathing parameters.

Abstract: 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.

Abstract: 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.

Abstract: There is provided a method of extracting a physiological information which comprises, for a defined time-period, extracting a plurality of signal segments in a time-domain form, selecting a subset of the plurality of signal segments according their maximum signal level, converting at least said subset to produce a plurality of transformed signal segments, and combining the at least said subset of the plurality of transformed signal segments to produce a combined signal segment. This has the advantage of reducing the influence of motion and or illumination-induced changes on the final result by removing parts of the raw signal segments which are worst affected by these.

Abstract: 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.

Abstract: 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 (10) for obtaining one or more monitoring signals (20) of a monitored area, a breathing monitor (11) for determining one or more breathing parameters (21) of one or more subjects present in the monitored area from the obtained one or more monitoring signals, and a CO2 estimation unit (12) for estimating the CO2 level (22) in the monitored area based on the determined one or more breathing parameters.

Abstract: The present invention relates to an apparatus (10) for tubulus detection from a tissue biopsy. It is described to provide (210) a plurality of 2D images of a tissue biopsy, wherein each 2D image corresponds to a different depth position in the tissue biopsy, and wherein each 2D image comprises image data of the tissue biopsy. A measure of a local variation of intensity is determined (220) in the image data of the tissue biopsy in a region of at least one 2D image. At least part of a tubulus is located (230) in the region of the at least one 2D image on the basis of the determined measure of the local variation of intensity. The locating (230) involves determining (240) locations in the region of the at least one 2D image where the measure of the local variation in intensity is below a threshold. Data representative of the location of the at least part of the tubulus in the region of the at least one 2D image are output (250).

Abstract: 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.

Abstract: 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.

Abstract: 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 (20) 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 (21) 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 (22) 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 (23) 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.

Abstract: The present invention relates to a device for obtaining a vital sign of a subject, comprising an interface (20) for receiving a set of image frames of a subject, a motion analysis unit (30) 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 (40) 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 (50) for determining vital sign information from the extracted PPG signals. The motion analysis unit comprises a motion estimation unit (32), a spatial characteristic extraction unit (34), and a motion characterization unit (36).

Abstract: The present invention relates to a device for obtaining a vital sign of a subject, comprising an interface (20) for receiving a set of image frames of a subject, a motion analysis unit (30) for analysing at least one measurement area within the image frames of said set of image frames and for characterizing motion of the subject within said set of image frames, a signal extraction unit (40) for extracting photoplethysmographic, PPG, signals from said set of image frames using said characterization of motion of the subject within said set of image frames, and a vital signs determination unit (50) for determining vital sign information from said extracted PPG signals. The motion analysis unit comprises a motion estimation unit (32), a spatial characteristic extraction unit (34), and a motion characterization unit (36).