A patient monitor for monitoring a patient's orientation to reduce a risk of the patient developing a pressure ulcer can include one or more hardware processors that can receive and process data from a sensor to determine the patient's orientation. The one or more hardware processors can maintain a plurality of timers associated with available orientations of the patient. Each of the plurality of timers can account for a non-consecutive duration said patient is in an associated available orientation. The non-consecutive duration can vary depending on whether a patient is in the available orientation. The patient monitor can include a structured display including an orientation trend and a patient representation illustrating a current orientation of the patient. The orientation trend can include a heat map that graphically illustrates said non-consecutive durations of the patient in the available orientations and/or an orientation graph that displays the patient' orientation history.

An acoustic wave diagnostic apparatus 1 includes a display unit 7; an operation unit 16; a measurement item designation acceptance unit 13 that accepts designation of a measurement item; a detection and measurement algorithm setting unit 9 that sets a detection and measurement algorithm according to a measurement item; a position designation acceptance unit 14 that accepts designation of a measurement position; a measurement unit 8 that detects a measurement target and sets a caliper on the measurement target to perform measurement on the basis of the measurement position and the detection and measurement algorithm; a contour detection unit 10 that detects a contour of the measurement target; a caliper movable range limit unit 11 that limits a movable range of the caliper on the contour of the measurement target according to a modification request of the caliper; and a modification acceptance unit 15 that accepts a modification of the caliper through the operation unit 16, in which the measurement unit 8 performs measurement using the modified caliper.

Systems and methods for electrocardiographic waveform analysis, data presentation and actionable alert generation are described. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis of at least a portion of the electrocardiographic waveform data can be performed to provide cardiac analytics. In instances where (1) a pathologically prolonged QT interval and (2) an R on T premature ventricular contraction and/or a ventricular tachycardia are detected from the cardiac analytics of the at least a portion of the electrocardiographic waveform data, an actionable alert can be generated and displayed with a visualization of the cardiac analytics.

A system is provided for displaying heart graphic information relating to sources and source locations of a heart disorder to assist in evaluation of the heart disorder. A heart graphic display system provides an intra-cardiogram similarity (“ICS”) graphic and a source location (“SL”) graphic. The ICS graphic includes a grid with the x-axis and y-axis representing patient cycles of a patient cardiogram with the intersections of the patient cycle identifiers indicating similarity between the patient cycles. The SL graphic provides a representation of a heart with source locations indicated. The source locations are identified based on similarity of a patient cycle to library cycles of a library cardiogram of a library of cardiograms.

Methods and systems for providing therapy related data management are provided. The subject systems include one or more device components, and at least one memory storage unit and at least one data storage unit associated with such one or more device components. The device components may include one or more of an analyte monitoring system, a fluid delivery device and a remote terminal. The subject methods include use of the subject systems to optimize treatment of a patient.

Systems, apparatuses and methods may provide for technology that converts a plurality of multi-channel time-synchronized signals into a plurality of image patches, combines the plurality of image patches into an image, and generates, by a transformer neural network, a classification result based on the image.

A method of compressing tissue during a surgical procedure is disclosed. The method comprises obtaining a surgical instrument comprising an end effector, wherein the end effector comprises a first jaw and a second jaw, establishing a communication pathway between the surgical instrument and a surgical hub, and inserting the surgical instrument into a surgical site. The method further comprises compressing tissue between the first jaw and the second jaw, determining a location of the compressed tissue with respect to at least one of the first jaw and the second jaw, communicating the determined location of the compressed tissue to the surgical hub, and displaying the determined location of the compressed tissue on a visual feedback device.

In one embodiment, a method for generating a message to a friend of a user is provided, comprising: processing activity data of a first user measured by an activity monitoring device to update a value of an activity metric for the first user; identifying a change in an inequality relationship between the value of the activity metric for the first user and a value of the activity metric for a second user; in response to identifying the change in the inequality relationship, prompting the first user to generate a message to the second user.

A system and method for mapping metabolic data of a heart. The system has a light source directing light onto the heart, one or more lenses for focusing an image of the heart, and a fluorescent detector receiving the focused image and generating transients and/or waves to map metabolic cardiac data.

A patient monitoring hub can communicate bidirectionally with external devices such as a board-in-cable or a dongle. Medical data can be communicated from the patient monitoring hub to the external devices to cause the external devices to initiate actions. For example, an external device can perform calculations based on data received from the patient monitoring hub, or take other actions (for example, creating a new patient profile, resetting baseline values for algorithms, calibrating algorithms, etc.). The external device can also communicate display characteristics associated with its data to the monitoring hub. The monitoring hub can calculate a set of options for combined layouts corresponding to different external devices or parameters. A display option may be selected for arranging a display screen estate on the monitoring hub.