Abstract: The invention provides a patient monitoring system for monitoring a patient in a bed. A video camera is used for capturing video images of the patient. Video analysis is used to determine and track the position of body parts of the patient including the hands. This analysis is enhanced by using sensors which detect interaction by the patient with pieces of equipment in the vicinity of the bed.

Abstract: There is provided a restraint management apparatus. The restraint management apparatus comprises a processing unit arranged to: receive one or more types of sensor data; determine a status of a subject based on the received sensor data; determine, based on the determined subject status, a restraint parameter for a restraint device configured to restrain a body part of the subject; and output a signal based on the determined restraint parameter.

Abstract: There is provided a context detection apparatus for use with a medical monitoring device arranged to measure a physiological characteristic of a subject. The context detection apparatus comprises at least one context sensor comprising a camera; and a processing unit. The processing unit is arranged to receive image data acquired by the camera from the at least one context sensor; analyze the received image data to generate a plurality of different types of context information; wherein each type of context information comprises information which relates to a factor capable of influencing measured values of the physiological characteristic and which is not measurable by the medical monitoring device; and output a signal to the medical monitoring device based on the generated context information.

Abstract: A monitoring system (10) includes at least one video camera (14), a motion unit (40), and a segmentation unit (42). The at least one video camera (14) is configured to continuously receive video of a subject in normal and darkened room conditions. The motion unit (40) identifies clusters of motion of the subject based on respiratory and body part motion in the received video of the subject. The segmentation unit (42) segments body parts of the subject based on the identified clusters of subject motion.

Abstract: A device, system and method automatically detects orientation and/or location of a person. To increase the robustness and accuracy, the device includes an image data interface (20) for obtaining image data of a person (110), which image data includes a sequence of image frames over time, a motion detector (21) for detecting motion within said image data, a motion intensity detector (22) for identifying motion hotspots representing image areas showing frequently occurring motion, and a person detector (23) for detecting the orientation and/or location of at least part of the person (110) based on the identified motion hotspots.

Abstract: There is provided a restraint management apparatus. The restraint management apparatus comprises a processing unit arranged to: receive one or more types of sensor data; determine a status of a subject based on the received sensor data; determine, based on the determined subject status, a restraint parameter for a restraint device configured to restrain a body part of the subject; and output a signal based on the determined restraint parameter.

Abstract: There is provided a context detection apparatus for use with a medical monitoring device arranged to measure a physiological characteristic of a subject. The context detection apparatus comprises at least one context sensor comprising a camera; and a processing unit. The processing unit is arranged to receive image data acquired by the camera from the at least one context sensor; analyze the received image data to generate a plurality of different types of context information; wherein each type of context information comprises information which relates to a factor capable of influencing measured values of the physiological characteristic and which is not measurable by the medical monitoring device; and output a signal to the medical monitoring device based on the generated context information.

Abstract: The invention provides a patient monitoring system for monitoring a patient in a bed. A video camera is used for capturing video images of the patient. Video analysis is used to determine and track the position of body parts of the patient including the hands. This analysis is enhanced by using sensors which detect interaction by the patient with pieces of equipment in the vicinity of the bed.

Abstract: A delirium detection system for automatic, unobtrusive and reliable detection of delirium of a person comprises a processor and a computer-readable storage medium, wherein the computer-readable storage medium contains instructions for execution by the processor. The instructions cause the processor to perform the steps of controlling a stimulus unit to output a stimulus for stimulating the person, receiving and evaluating one or more reaction signals captured by a reaction unit and reflecting the person's reaction to a stimulus, and determining a delirium score from said evaluation of one or more reaction signals.

Abstract: A monitoring system (10) includes at least one video camera (14), a motion unit (40), and a segmentation unit (42). The at least one video camera (14) is configured to continuously receive video of a subject in normal and darkened room conditions. The motion unit (40) identifies clusters of motion of the subject based on respiratory and body part motion in the received video of the subject. The segmentation unit (42) segments body parts of the subject based on the identified clusters of subject motion.

Abstract: The present invention relates to a device, system and method for automated detection of orientation and/or location of a person. To increase the robustness and accuracy, the proposed device comprises an image data interface (20) for obtaining image data of a person (110), said image data comprising a sequence of image frames over time, a motion detector (21) for detecting motion within said image data, a motion intensity detector (22) for identifying motion hotspots representing image areas showing frequently occurring motion, and a person detector (23) for detecting the orientation and/or location of at least part of the person (110) based on the identified motion hotspots.

Abstract: The invention relates to an apparatus for being used for detecting a property of an object. An ultrasound signal providing unit (2) provides an ultrasound signal, which is indicative of a property of the object (9) at one or several depths within the object (9) and which depends on time, and a periodicity value determination unit (5) determines a periodicity value being indicative of a degree of temporal periodicity of the ultrasound signal for a constant depth. The temporal periodicity of the ultrasound signal at the respective constant depth, i.e. the periodicity value, depends on the property of the object at this depth and can therefore be used for detecting a property of the object.

Abstract: A color image enhancement method, for enhancing the color of a color image comprising a plurality of pixels. The method comprises: mapping a color saturation value of each pixel to a normalized saturation value, wherein the range of values of normalized saturation is the same independent of the luminance value of the pixel; estimating a probability distribution of the normalized saturation values; defining a transfer function for modifying the normalized saturation values, based on the estimated probability distribution; and applying the transfer function to the normalized saturation values to generate modified values.

Abstract: The invention relates to an apparatus for being used for detecting a property of an object. An ultrasound signal providing unit (2) provides an ultrasound signal, which is indicative of a property of the object (9) at one or several depths within the object (9) and which depends on time, and a periodicity value determination unit (5) determines a periodicity value being indicative of a degree of temporal periodicity of the ultrasound signal for a constant depth. The temporal periodicity of the ultrasound signal at the respective constant depth, i.e. the periodicity value, depends on the property of the object at this depth and can therefore be used for detecting a property of the object.

Abstract: In a method for color enhancement the color distance between spatially close colored pixel or pixel areas does not change more than a threshold, the threshold being a function of the initial color distance. The color difference between pixels that are close together and did not differ much in color will be restricted. This reduces the change on unnatural looking parts of an image and allows more pronounced color enhancement to be 5 used.

Abstract: A colour image enhancement method, for enhancing the colour of a colour image comprising a plurality of pixels. The method comprises: mapping a colour saturation value of each pixel to a normalised saturation value, wherein the range of values of normalised saturation is the same independent of the luminance value of the pixel; estimating a probability distribution of the normalised saturation values; defining a transfer function for modifying the normalised saturation values, based on the estimated probability distribution; and applying the transfer function to the normalised saturation values to generate modified values.

Abstract: Consistent with an example embodiment, there is a method for a method for processing video data, the video data being adapted for being displayed on a locally dimmable liquid crystal display. The method comprises color enhancing the video data. The method further comprises determining dimming factors corresponding to primary color components of the video data corresponding to a pixel of the locally dimmable liquid crystal display based on the color enhanced video data. The method furthermore comprises determining a color correction of the color enhanced video data corresponding to the pixel of the locally dimmable liquid crystal display based on the dimming factors. The method also comprises processing the video data based on the determined color correction.