Abstract: The invention provides an improved measure of fluid responsiveness which is derived based on comparing a ratio between blood velocity and vessel diameter before and after fluid administration.

Abstract: A method and system for deriving one or more hemodynamic parameters based on blood-velocity and arterial diameter measures, or parameters proportional thereto, each sampled recurrently or continuously over a time period to obtain for each a data series spanning a time window (i.e. a waveform). This is used, preferably in combination with at least one further physiological parameter, for example heart rate, to derive one or more hemodynamic parameters. A transfer function or machine learning model is used to process the inputs to obtain the estimated hemodynamic parameters.

Abstract: A method for deriving one or more hemodynamic parameters based on blood-velocity and arterial diameter measures, each sampled recurrently or continuously over a time period to obtain for each a data series spanning a time window (i.e. a waveform). Additionally, a radial blood velocity profile is computed indicative of blood velocity as a function of radial position across a plane cut perpendicularly across the vessel lumen. This gives an indication of how blood velocity varies for the individual patient across the vessel diameter. This information supplements the standard blood-velocity and arterial diameter measures as inputs to a transfer function which maps the inputs to hemodynamic parameters.

Abstract: A system and method for measuring blood pressure makes flow velocity measurements from an artery location and vessel diameter measurements from the same artery location, using an ultrasound system. An arterial wave velocity is obtained from the blood flow velocity and vessel diameter and changes in blood pressure are then tracked. A continuous blood pressure estimate is made from intermittent cuff measurements together with tracked changes in blood pressure between those intermittent measurements.

Abstract: Provided is a computer implemented method (100) suitable for monitoring at least one skin region of a subject capable of moving relative to a source of ambient light. A sequence of video frames is received (102) of the subject. The sequence of video frames was captured while a light emitter provided a varying illumination, e.g. a pulsed illumination, to the subject. The sequence of video frames is then used to generate (106, 110) a first and second ambient light corrected image which are each then segmented (108, 112) to identify at least one skin region. Further provided is a computer program product for implementing the method, and a system for monitoring the at least one skin region.

Abstract: The invention relates to determining a flow profile in an artery from ultrasound imaging data. For this end, a computer-implemented method (300) is provided for determining (330) a flow profile based on an artery dimension, a velocity in the artery and a measure of asymmetry, wherein the artery dimension, the velocity in the artery and the measure of asymmetry are determined (320) from ultrasound imaging data comprising B-mode, pulsed wave Doppler, and color or power Doppler ultrasound imaging data.

Abstract: A method for deriving one or more hemodynamic parameters based on blood-velocity and arterial diameter measures, each sampled recurrently or continuously over a time period to obtain for each a data series spanning a time window (i.e. a waveform). Additionally, a radial blood velocity profile is computed indicative of blood velocity as a function of radial position across a plane cut perpendicularly across the vessel lumen. This gives an indication of how blood velocity varies for the individual patient across the vessel diameter. This information supplements the standard blood-velocity and arterial diameter measures as inputs to a transfer function which maps the inputs to hemodynamic parameters.

Abstract: An apparatus and method for estimating one or more hemodynamic parameters such as cardiac output or stroke volume. Embodiments are based on the concept of incorporating information about vascular tone into hemodynamic parameter estimation to improve accuracy. More particularly, embodiments use a measurement of a time duration for a blood pulse to travel from the heart along a certain length of an arterial path as a proxy measure for vascular tone, and incorporate this into hemodynamic parameter estimation. Embodiments are also based on incorporating vascular tone proxy measurements for multiple different arterial paths to take account of vascular tone variations between different portions of the circulatory system.

Abstract: Methods, systems, and storage media for modeling subjects in a virtual environment are disclosed. Exemplary implementations may: receiving, from a client device, image data including at least one subject; extracting, from the image data, a face of the at least one subject and an object interacting with the face, wherein the object may be glasses worn by the subject; generating a set of face primitives based on the face, the set of face primitives comprising geometry and appearance information; generating a set of object primitives based on a set of latent codes for the object; generating an appearance model of photometric interactions between the face and the object; and rendering an avatar in the virtual environment based on the appearance model, the set of face primitives, and the set of object primitives.

Abstract: Embodiments propose methods and system for predicting the occurrence of critical alarms in response to the occurrence of less severe, non-critical alarms. It is proposed to use a machine-learning model trained to discern whether a non-critical alarm will be followed by a critical alarm within a particular time period, e.g. whether the non-critical alarm will develop into a critical alarm. Unlike existing alarm systems which are merely threshold based, this approach uses physiological data from a window of data. This window of data can be expected to carry more information than a simple breach of the threshold.

Abstract: A method and system for deriving one or more hemodynamic parameters based on blood-velocity and arterial diameter measures, or parameters proportional thereto, each sampled recurrently or continuously over a time period to obtain for each a data series spanning a time window (i.e. a waveform). This is used, preferably in combination with at least one further physiological parameter, for example heart rate, to derive one or more hemodynamic parameters. A transfer function or machine learning model is used to process the inputs to obtain the estimated hemodynamic parameters.

Abstract: An apparatus and method for estimating one or more hemodynamic parameters such as cardiac output or stroke volume. Embodiments are based on the concept of incorporating information about vascular tone into hemodynamic parameter estimation to improve accuracy. More particularly, embodiments use a measurement of a time duration for a blood pulse to travel from the heart along a certain length of an arterial path as a proxy measure for vascular tone, and incorporate this into hemodynamic parameter estimation. Embodiments are also based on incorporating vascular tone proxy measurements for multiple different arterial paths to take account of vascular tone variations between different portions of the circulatory system.

Abstract: A method and processing system adapted to monitor respiratory instability by directly calculating a measure of periodicity and amplitude regularity, which is effectively a measure of disorganization, of a respiratory waveform. Normal respiration is a somewhat periodic signal whereas complete cessation of breathing would result in the respiratory signal reflecting measurement noise (i.e. aperiodic with minimal amplitude regularity). Thus, the measure is responsive to changes in the subject's breathing, and can distinguish between normal and abnormal breathing patterns.

Abstract: A system is provided for detecting fluid accumulation in a subject. A movement induced by the beating of the heart is analyzed over time, by monitoring a movement, pressure or force. Changes in density caused by fluid accumulation result in changes in the sensor arrangement signals. Changes are used to indicate that fluid accumulation such as internal bleeding is likely to have taken place.

Abstract: Embodiments propose methods and system for predicting the occurrence of critical alarms in response to the occurrence of less severe, non-critical alarms. It is proposed to use a machine-learning model trained to discern whether a non-critical alarm will be followed by a critical alarm within a particular time period, e.g. whether the non-critical alarm will develop into a critical alarm. Unlike existing alarm systems which are merely threshold based, this approach uses physiological data from a window of data. This window of data can be expected to carry more information than a simple breach of the threshold.

Abstract: Methods and systems for reducing redundant alarms. The system may receive two or more different alarm sequences to infer relationships therebetween. Upon inferring that the datasets are coupled such that an alarm associated with one of the datasets follows an alarm associated with the other dataset, the system may suppress one of the alarms.

Abstract: The present disclosure pertains to a system configured to predict decompensation in a subject with heart failure. The system comprises one or more hardware processors configured by machine-readable instructions to receive weight information, blood pressure information, and heart rate information about the subject; determine one or more weight parameters, one or more blood pressure parameters, and one or more heart rate parameters based on the received information; and predict decompensation in the subject based on the one or more weight parameters, the one or more blood pressure parameters, and the one or more heart rate parameters. Prior art systems use weight parameters alone for such prediction. However, weight parameters alone are often not predictive of decompensation.

Abstract: The present disclosure pertains to a system configured to predict decompensation in a subject with heart failure. The system comprises one or more hardware processors configured by machine-readable instructions to receive weight information, blood pressure information, and heart rate information about the subject; determine one or more weight parameters, one or more blood pressure parameters, and one or more heart rate parameters based on the received information; and predict decompensation in the subject based on the one or more weight parameters, the one or more blood pressure parameters, and the one or more heart rate parameters. Prior art systems use weight parameters alone for such prediction. However, weight parameters alone are often not predictive of decompensation.