Abstract: An apparatus, method and computer program is described comprising: receiving video data for a scene; determining a movement measurement for at least some of a plurality of subframes of the video data; weighting the movement measurements to generate a plurality of weighted movement measurements, wherein the weighting is dependent on the subframe; and generating a movement indication for the scene from a combination of some or all of the weighted movement measurements.

Abstract: A system for monitoring the state of a disease or the state of a person using a biomarker, the system comprising: a motion data obtaining unit configured to obtain from at least one motion sensor motion data from a person having the disease, a generating unit configured to generate a value of the biomarker of the disease based on the obtained motion data, and an assessing unit configured to assess the value of the biomarker of the disease and, based on the assessment, to output information related to the state of the disease or state of a person

Abstract: An apparatus, method and computer program is described comprising: receiving video data for a scene; determining a movement measurement for at least some of a plurality of subframes of the video data; weighting the movement measurements to generate a plurality of weighted movement measurements, wherein the weighting is dependent on the subframe; and generating a movement indication for the scene from a combination of some or all of the weighted movement measurements.

Abstract: An apparatus, method and computer program is described comprising: receiving depth data for a first plurality of pixels of a video image of a scene; determining depth data over time for each of a second plurality of pixels of the video image, wherein the second plurality of pixels comprises at least some of the first plurality of pixels; and processing the determined depth data of successive instances of the second plurality of pixels to generate movement data, wherein each instance of the second plurality of pixels comprises depth data of the second plurality of pixels.

Abstract: A mobile telecommunications device arranged for monitoring the heart of a human or an animal includes at least one sensor for measuring an effect of heart function and producing a signal indicative of the effect, and a processor arranged to receive the signal and analyze it and to produce an output indicating a condition of the heart. A method of diagnosis of heart disease includes measuring an effect of heart function using one or more sensors, producing a signal indicative of the effect, and using a processor to receive the signal and analyze it and to produce an output indicating a condition of the heart.

Abstract: A mobile telecommunications device arranged for monitoring the heart of a human or an animal includes at least one sensor for measuring an effect of heart function and producing a signal indicative of the effect, and a processor arranged to receive the signal and analyze it and to produce an output indicating a condition of the heart. A method of diagnosis of heart disease includes measuring an effect of heart function using one or more sensors, producing a signal indicative of the effect, and using a processor to receive the signal and analyze it and to produce an output indicating a condition of the heart.

Abstract: A method and device for drug delivery is provided, in particular though not exclusively, for the administration of anaesthetic to a patient. A state associated with a patient is determined based on a value of at least one parameter associated with a condition of the patient. The state corresponds to a point in a state space comprising possible states and the state space is continuous. A reward function is provided for calculating a reward. The reward function comprises a function of state and action, wherein an action is associated with an amount of substance to be administered to a patient. The action corresponds to a point in an action space comprising all possible actions wherein the action space is continuous. A policy function is provided which defines an action to be taken as a function of state and the policy function is adjusted using reinforcement learning to maximize an expected accumulated reward.