There are provided systems and methods for performing mean arterial pressure (MAP) derived prediction of future hypotension. Such a system includes a hardware unit including a hardware processor and a system memory, a hypotension prediction software code stored in the system memory, and a sensory alarm. The hardware processor is configured to execute the hypotension prediction software code to receive MAP data of the living subject, and to transform the MAP data to one or more parameters predictive of a future hypotension event of the living subject. The hardware processor is further configured to execute the hypotension prediction software code to determine a risk score of the living subject corresponding to the probability of the future hypotension event based on at least some of the one or more parameters, and to invoke the sensory alarm if the risk score of the living subject satisfies a predetermined risk criteria.

A patient monitor can diagnose whether its speaker is blocked, malfunctioning, or at a volume that is too low. For example, the monitor can include a processor that can diagnose the speaker by recording a microphone input signal. The processor can compare the microphone input signal to an expected alarm signal that should be output by the speaker. If the two do not match or reasonably correspond to one another, then the processor may increase the volume of the alarm to determine whether doing so can overcome an obstruction, noise, or potential malfunction. The microphone can again detect the speaker output, and the processor can again make another comparison or analysis of the input with the speaker output. If the speaker output as detected via the microphone is still insufficiently loud, then the patient monitor may output an indication that the speaker has a problem.

A measurement device includes a biosensor that acquires biological information, a pressing force detection component that detects a pressing force produced when the biosensor makes contact with a part of a living body to be measured, and a processor that converts the biological information to a first measurement value, calculates a second measurement value by correcting the first measurement value based on the pressing force, and outputs the second measurement value.

There is provided an apparatus comprising a control unit and a method of operating the apparatus to determine a health status of an infant. The method comprises acquiring contextual information associated with the infant (302) and acquiring at least one heart rate variability signal from the infant (304). The at least one heart rate variability signal acquired from the infant is processed to determine a heart rate variability feature (306) and the determined heart rate variability feature is assigned to a class according to the acquired contextual information (308). The determined heart rate variability feature is compared to one or more corresponding heart rate variability features stored in the same class as the determined heart rate variability in a memory (310) and a health status of the infant is determined based on the comparison (312).

A medical monitoring system includes: one or more signal sampling devices to detect parameter data corresponding to at least one physiological parameter; memory to store the parameter data corresponding to the at least one physiological parameter; a display to display parameter data obtained by at least one sensor; and a processor to obtain, according to the parameter data, abnormal event indications having a plurality of different attributes and transmit the abnormal event indications to the display; wherein the abnormal event indications are shown as anomalies identifiers on a timeline.

Aspects of the disclosure are directed toward a method for providing uroflowmeter data. The method comprises receiving volume sample data representative of volume sample data from a uroflowmeter device, calculating the slope of the volume sample data, and performing additional actions if the calculated slope reaches a trigger threshold. If the calculated slope reaches a trigger threshold, the method may further determine if an artifact is present in the volume sample data. This may include comparing the morphology of the potential artifact to morphologies of known artifacts and comparing the value of the volume sample data before and after the potential artifact. If an artifact is determined to be present in the volume sample data and the volume sample data before the potential artifact is less than or equal to the volume sample data after the potential artifact, remove the portion of the volume sample data which represents the artifact.

The present invention relates to a method of identifying or monitoring circulatory failure in a subject, which method comprises assessing the subject's microcirculation in respect of the following parameters: (a) functional capillary density (FCD); (b) heterogeneity of the FCD; (c) capillary flow velocity; (d) heterogeneity of capillary flow velocity; (e) oxygen saturation of microvascular erythrocytes (SmvO.sub.2); and (f) heterogeneity of SmvO.sub.2; wherein parameters (a) to (d) are assessed visually by microscopy and parameters (e) and (f) are assessed by diffuse reflectance spectroscopy (DRS); well as apparatus and software designed for performance of such a method.

A method for monitoring autoregulation includes, using a processor, receiving a blood pressure signal, a regional oxygen saturation signal, and a blood volume signal from a patient. The method also includes determining a first linear correlation between the blood pressure signal and the regional oxygen saturation signal and determining a second linear correlation between the blood pressure signal and the blood volume signal. The method also includes determining a confidence level associated with the first linear correlation based at least in part on the second linear correlation and providing a signal indicative of the patient's autoregulation status to an output device based on the linear correlation and the confidence level.

Various embodiments concern video patient monitoring with detection zones. Various embodiments can comprise a camera, a user interface, and a computing system. The computing system can be configured to perform various steps based on reception of a frame from the camera, including: calculate a background luminance of the frame; monitor for a luminance change of a zone as compared to one or more previous frames, the luminance change indicative of patient motion in the zone; and compare the background luminance to an aggregate background luminance, the aggregate background luminance based on the plurality of frames. If the background luminance changed by more than a predetermined amount, then the aggregate background luminance can be set to the background luminance, luminance information of the previous frames can be disregarded, and motion detection can be disregarded.

Provided is a non-invasive method of detecting or screening for a cancer in a subject specimen originating in a tissue outside of the lung. The method includes detecting elevated levels of one or more carbonyl-containing volatile organic compounds (VOCs) that are biomarkers for the cancer in exhaled breath from the subject specimen. The method may further include obtaining exhaled breath from the subject specimen; forming adducts of the carbonyl-containing VOCs with a reactive chemical compound; quantifying the adducts of the carbonyl-containing VOCs to establish a subject value for each of the adducts; and comparing each subject value to a threshold healthy specimen value for each of the adducts of the carbonyl-containing VOCs. One or more subject values at quantities greater than threshold healthy specimen values are also useful for screening for the cancer in the subject specimen.