A system for screening persons' temperatures comprises an imaging device configured to generate imagery data, including infrared image data, of a first scene and a second scene. The system receives imagery data from the first scene, identifies persons in the scene using the imagery data, and determines each person's temperature. The system further compares the persons' temperatures to a threshold and indicates a person should be directed to the second scene if the person's temperature is above a threshold. Subsequently, the system determines and compares the person's temperature in the second scene and provides an indication if the person's temperature exceeds a second threshold. Further, a confidence factor can be associated with determinations of persons' temperatures.

A method and system for determining a respiratory rate of a user using an electrocardiogram (ECG) segment of the user are disclosed. The method comprises decomposing the ECG segment into a plurality of functions and evaluating the plurality of functions to choose one of the plurality of functions based on a respiratory band power. The method includes determining the respiratory rate using the one of the plurality of functions and a domain detection.

A non-invasive method of calculating the central venous pressure (CVP) of a patient may include analysis of video of the neck region of the patient. Filters, which may include spatial filters and/or temporal filters, may be applied to the video to enhance the visibility of small movements, which may be due to circulatory pulsations of the patient. The video may be modified to highlight such movements, and motion indicative of venous pulsation may be distinctly identified and highlighted.

The present disclosure describes a system for detecting abnormal blood pressure or blood volume in a user, the system comprising a processing system; a pulse transit time (PTT) detection system for providing a PTT signal indicative of a PTT of the user to the processing system, wherein PTT of the user is used as a surrogate for a blood pressure (BP) of the user; and an electrodermal activity (EDA) detection system for providing an EDA signal indicative of an EDA of the user to the processing system; wherein the processing system processes the PTT signal and the EDA signal to determine an index indicative of an abnormal blood pressure or blood volume of the user.

The present application describes a PHHM of the type described in WO 2013/002165, WO 2014/125431 and International Patent Application No. PCT/EP2015/079888 with improved aspects to find indicators of health, and other improvements that facilitate its construction and calibration.

Embodiments of the present disclosure relate to a system and method for determining a risk, onset, or presence of hypovolemia based on one or more features of a plethysmographic waveform during a patient breathing cycle. For example, a hypovolemic patient may exhibit characteristic changes in pulse amplitude or stroke volume during inhalation and exhalation relative to a healthy patient. Further, a trend or pattern of such features may be used to assess the patient's fluid condition.

Novel tools and techniques for assessing, predicting and/or estimating effectiveness of hydration of a patient and/or an amount of fluid needed for effective hydration of the patient, in some cases, noninvasively.

A computer implemented method for determining accuracy of heart rate variability is proposed. The method comprises the following steps: a) providing at least one photoplethysmogram obtained by at least one portable photoplethysmogram device (110); b) Determining at least one signal feature by evaluating the photoplethysmogram; c) Determining the accuracy of heart rate variability by using at least one trained model, wherein the signal features determined in step b) are used as input for the trained model.

A method for controlling a scanner comprises: sensing an outer surface of a body of a subject to collect body surface data, using machine learning to predict a surface of an internal organ of the subject based on the body surface data, and controlling the scanner based on the predicted surface of the internal organ.

Disclosed is an apparatus for estimating bio-information. The apparatus for estimating bio-information includes: a sensor part comprising a pulse wave sensor array configured to detect a pulse wave signal when an object contacts a contact surface of the sensor part, and a load sensor configured to detect a first contact load applied by the object to the contact surface; and a processor configured to obtain contact load distribution of the contact surface based on the pulse wave signal, and to estimate bio-information based on the contact load distribution.