Abstract:
An apparatus configured to generate an output quality error estimate using a machine- learning error estimation model to compare an output meeting a predetermined quality threshold with an output image reconstructed from a plurality of images, and provide the output quality error estimate for use in estimating if a second subsequent image is required, in addition to a first subsequent image to obtain a cumulative output having an output quality error meeting a predetermined error threshold. Also an apparatus configured, using a received output quality error estimate generated using a machine-learning error estimation model as above, to estimate if a second subsequent image is required, in addition to a first subsequent image, to obtain a cumulative output having an output quality error meeting a predetermined error threshold.
Abstract:
A source encoding apparatus configured to one or more of derive or convert a series of data elements of a data element set, the data elements representing respective partial portions of a complete data item to be transmitted, into a corresponding series of audio output elements from an audio output element set, wherein each audio output element has a unique output frequency in the audio output set, the audio output set configured to comprise respective unique audio output elements which correspond to the complete range of discrete values available for use to represent the complete data item; and provide the series of audio output elements for audio output. Also a decoding apparatus configured to convert a series of audio input elements received as audio input into a corresponding series of data elements representing respective partial portions of a complete transmitted data item.
Abstract:
An apparatus comprising: means for determining a probability by combining at least: a probability that an event is present within a current feature of interest given a first set of previous features of interest, and a probability that the event is present within the current feature of interest given a second set of previous features of interest, different to the first set of previous features of interest; means for detecting the event based on the determined probability; and means for controlling, in dependence on the detection of the event, performance of an action.
Abstract:
A method of detection of a recurrent feature of interest within a signal comprising: obtaining evidence, based on a signal, the evidence including a probability density function for each of a plurality of parameters for parameterizing the signal, including at least one probability density function for a parameter, of the plurality of parameters, that positions a feature of interest within signal data of the signal; parameterizing a portion of the signal data from the signal based upon a hypothesis that a point of interest in the signal data is a position of the feature of interest; determining a posterior probability of the hypothesis being true given the portion of the signal data by combining a prior probability of the hypothesis and a conditional probability of observing the portion of the signal data given the hypothesis, wherein the conditional probability of observing the portion of the signal data given the hypothesis is based at least upon: the parameterization of the portion of the signal data and the probability density function for at least one of the plurality of parameters; using the posterior probability to determine whether or not the hypothesis is true; the method further comprising: updating at least one of the probability density functions for the plurality of parameters using the parameterization of the portion of the signal data.
Abstract:
An approach is provided for synchronizing an impedance cardiography ("ICG") measurement period with an electrocardiography ("ECG") signal to reduce patient (105) auxiliary current. The approach involves measuring an ECG signal of a patient via an ECG device (103). The approach also involves processing the ECG signal to cause, at least in part, a detection of one or more ECG features of the signal. The approach further involves synchronizing a start, a stop, or a combination thereof of a measurement of an ICG signal of the patient via an ICG device (101) based, at least in part, on the detection of the one or more ECG features. The measurement of the ICG signal includes injecting an electrical current into the patient (105) for a duration of the measurement.
Abstract:
The application relates to apparatus, methods and computer programs for determining pulse wave velocity, The apparatus comprises means for: receiving a first ballistocardiograph signal indicative of a pulse wave travelling in a first direction at a first time, the pulse wave having a pulse velocity and receiving a second ballistocardiograph signal indicative of the pulse wave travelling in a second direction at a second time, wherein the second direction is, at least partially, perpendicular to the first direction. The means are also for determining the pulse wave velocity based one the first ballistocardiograph signal and the second ballistocardiograph signal.
Abstract:
A dual handgrip measurement device and an associated method of utilizing the dual handgrip measurement device are provided. The dual handgrip measurement device includes first and second handgrips configured to be gripped by left and right hands of a user, respectively. The dual handgrip measurement device includes first and second force sensors associated with and configured to separately detect grip forces applied to the first and second handgrips, respectively. The dual handgrip measurement device is configured to detect at least one of a linear force along the longitudinal axis, such as a compressive force or a tensile force, or a rotational force between the first and second handgrips.
Abstract:
A method, apparatus and computer program, the method comprising:receiving a first biopotential signal obtained by a first capacitive sensor; receiving a second biopotential signal obtained by a second capacitive sensor, the first capacitive sensor and the second capacitive sensor being positioned at different locations on a subject; synchronising biopotential signals obtained by the first capacitive sensor and the second capacitive sensor by applying a time adjustment to biopotential signals obtained by at least one of the first capacitive sensor or the second capacitive sensor;wherein features in at least one of the first biopotential signal and the second biopotential signal are used to synchronise the biopotential signals obtained by the first capacitive sensor and the second capacitive sensor.
Abstract:
Apparatus, methods, and systems for receiving physiological measurements relating to a user, wherein the physiological measurements comprise heart beat measurements; determining, based on intervals between peaks of the physiological measurements, a first physiological pattern; determining a cognitive activation score based on a comparison between the first physiological pattern and a baseline physiological pattern of the user, wherein the baseline physiological pattern relates to a baseline state of the user and the first physiological pattern relates to a first emotional or cognitive state of the user.
Abstract:
An apparatus, method and computer program is described comprising: receiving one or more first signals indicative of an impact between a striking means and a tendon of a subject, caused by a strike by the striking means on the subject; receiving one or more second signals indicative of a reflex response to said impact; and generating a dataset based on one or more data elements obtained from the one or more first signals and the one or more second signals.