Systems, methods and computer-readable media are provided for monitoring patients and quantitatively predicting whether an event, such as a significant change in health status meriting intervention, is likely to occur within a future time interval subsequent to computing the prediction. Medical data for a patient is collected from one or more different inputs and used to determine time series data. From this, a forecasted numerical value is computed for one or more physiologic parameters associated with the patient, which may be used to further monitor the patient and facilitate decision making about a need for intensified monitoring or intervention to prevent or manage deterioration of hemostasis. An evolutionary algorithm, such as particle swarm optimization and/or differential evolution, may be used to determine the most probable value of the one or more physiologic parameters at one or more future times.

The present invention relates to patient monitoring, such as hemodynamic monitoring. In order to perform provide monitoring in various scenarios, a patient monitoring device (10) is provided that comprises a patient medical monitoring unit (12) and an information unit (14). The patient medical monitoring unit is configured to perform monitoring at least one physiological parameter of a patient. The information unit is configured to provide a data carrier signal (16) indicative of information about the patient medical monitoring unit, for example, upon connection to a monitoring system. The data carrier signal is provided as an analogue sequence (18) comprising a predetermined waveform (20) indicative of the information about the patient medical monitoring unit.

Systems, methods and computer-readable media are provided for monitoring patients and quantitatively predicting whether an event, such as a significant change in health status meriting intervention, is likely to occur within a future time interval subsequent to computing the prediction. Medical data for a patient is collected from one or more different inputs and used to determine time series data. From this, a forecasted numerical value is computed for one or more physiologic parameters associated with the patient, which may be used to further monitor the patient and facilitate decision making about a need for intensified monitoring or intervention to prevent or manage deterioration of hemostasis. An evolutionary algorithm, such as particle swarm optimization and/or differential evolution, may be used to determine the most probable value of the one or more physiologic parameters at one or more future times.

Apparatus and methods for optical and non-invasive measurement of cardiovascular fitness and/or stress and/or physiological parameters are disclosed herein.

An electronic device includes a wearing portion to be worn by a subject and a sensor unit that includes a sensor configured to detect a pulse wave of the subject. The sensor unit includes a displacement portion configured to contact a measured part of the subject and to be displaced in accordance with the pulse wave of the subject when the wearing portion is worn by the subject.

A system and method are presented for use in monitoring one or more conditions of a subject's body. The system includes a control unit which includes an input port for receiving image data, a memory utility, and a processor utility. The image data is indicative of data measured by a pixel detector array and is in the form of a sequence of speckle patterns generated by a portion of the subject's body in response to illumination thereof by coherent light according to a certain sampling time pattern. The memory utility stores one or more predetermined models, the model comprising data indicative of a relation between one or more measurable parameters and one or more conditions of the subject's body. The processor utility is configured and operable for processing the image data to determine one or more corresponding body conditions; and generating output data indicative of the corresponding body conditions.

A diagnostic patch apparatus has a sampling module that includes sampling means for sampling fluid from a patient's skin when the sampling module is placed against the patient's skin, and a sample chamber coupled in fluid communication with the sampling means. The apparatus also has an analysis module that includes a fluid conduit coupled in fluid communication with the sample chamber of the sampling module and a plurality of sensors coupled in fluid communication with the fluid conduit. The apparatus also may have a reader module that includes at least one optical sensor coupled in optical communication with the analysis module, a microcontroller coupled in electrical communication with the at least one sensor of the analysis module, and a wireless communication package coupled in electrical communication with the microcontroller.

Disclosed herein are in vivo non-invasive methods and devices for the measurement of the hemodynamic parameters, such as such as blood pressure, stroke volume, cardiac output, performance of the aortic and mistral heart valves, arterial blood velocity profile, blood viscosity and the blood flow induced arterial wall shear stress, hypertensive/hypotensive and vasodilation/vasocontraction state and aging status of a subject, and the mechanical anelastic in vivo properties of the arterial blood vessels. An exemplary method requires obtaining the peripheral pulse volume waveform (PVW), the peripheral pulse pressure waveform (PPW), and the peripheral pulse velocity waveform (PUW) from the same artery; calculating the time phase shift between the PPW and PVW, and the plot of pulse pressure versus pulse volume; and determining the blood pressures and power law components of the anelastic model from the waveforms PPW and PVW, the cardiac output and heart valves performances from the waveforms PPW and PUW, and the anelastic in vivo properties of the descending, thoracic and abdominal aorta. The disclosed methods and devices can be used to diagnose and treat cardiovascular disease in a subject in need thereof.

The invention relates to a system for challenging the pericardial space, to provide an indication of the risk of cardiac tamponade in a patient, as well as methods for diagnosis of, and determination of the extent of, a tamponade, and treating a patient in whom there is a detected cardiac tamponade.

An apparatus for analyzing a biosignal is provided. The apparatus includes a communicator configured to receive from an external device a first biosignal of an object detected by the external device; a synchronizer configured to transmit a synchronization signal to from the external device or receive the synchronization signal from the external device; at least one biosignal detector configured to detect a second biosignal of the object according to the synchronization signal; and a processor configured to compare characteristics of the first biosignal and the second biosignal and obtain biometric information having correlation with a result of the comparison.