Embodiments of a vaginal temperature sensing apparatus, a visually sense-able battery power-on indicator (16), manufacturing with cure temperatures that protect a battery, substantially error-free, user-initiated device activation componentry (30) to start battery power, and a timer to automatically terminate flow of battery power. Data can by an automatic data transform recalculator (138) with body temperature dips in transformed and recalculated diurnal high body temperatures predict an ovulation event and provide an indication through a zenith based ovulation indicator (106). Systems can include neural network based artificial intelligence to automatically self-improve by using historical or even other, multi user data and user input and improve its indication result.

A system for experience educating vital signals and cardiopulmonary according to the present disclosure may include: a vital signal measurement unit having a vital signal measurement probe; a human body model formed in the shape of a human body; and a processor setting a vital signal output mode on the basis of the vital signal recognition information when the vital signal measurement data and the vital signal recognition information are input, checking output forma information corresponding to the vital signal output mode, and controlling an output unit and a display unit respectively to output and display the vital signal measurement data in correspondence to the output format information.

In an embodiment, an apparatus (16) is presented that classifies device-sensed movement along a path based on a score that characterizes a geometrical property of the movement.

An aggravation estimation system is provided for accurately estimating aggravation of a patient. The aggravation estimation system acquires bed image data chronologically capturing a capturing region including a bed of a patient, analyzes movement of the patient or a body part of the patient captured in the acquired bed image data, and estimates aggravation of the patient by performing, based on the movement that is determined by analysis, scoring in relation to at least one of oxygen administration or a state of consciousness included in indices of national early warning score.

This disclosure is directed to techniques for recording and recognizing physiological parameter patterns associated with symptoms. A medical device system includes a medical device including one or more sensors configured to generate a signal that indicates a parameter of a patient. Additionally, the medical device system includes processing circuitry configured to receive data indicative of a user indication of an experienced symptom; determine a plurality of parameter values of the parameter based on a portion of the signal corresponding to a period of time including a time before the user indication and a period of time after the user indication. Additionally, the processing circuitry is configured to identify, based on a reference set of parameter values of the plurality of parameter values, the experienced symptom. Additionally, the processing circuitry is configured to save, to a database in memory, a set of data including the experienced symptom and patient parameters.

The present disclosure describes a closed-loop fluid resuscitation and/or cardiovascular drug administration system that uses continuous measurements and adaptive control architecture. The adaptive control architecture uses a function approximator to identify unknown dynamics and physiological parameters of a patient to compute appropriate infusion rates and to regulate the endpoint of resuscitation.

An alert is used to inform a user that their blood glucose level has dropped below a threshold (e.g., the user is hypoglycemic) or has increased above a threshold (e.g., the user is hyperglycemic). There is a hierarchy of alerts from lowest priority to highest priority. The alert is communicated by a user device (e.g., a mobile device), which is, for example, a smartphone, smart watch, home automation device, or the like. The alert is modified in order to increase the likelihood that the user receives or acknowledges the alert within a minimal amount of time. An intensity level (e.g., a volume) of an alert is modified based on, for example, whether the user has acknowledged a previous alert. A modality or a sensory channel of an alert is changed if an initial alert does fails to elicit a response from the user.

An apparatus includes a medical device that includes a cardiopulmonary resuscitation (CPR) treatment feedback device, a memory, and at least one processor and a plurality of electrodes configured to provide at least an electrical impedance signal to the processor. The electrical impedance signal correspond to an electrical impedance measured at a chest of a patient. The processor is configured to receive the electrical impedance signal, process the electrical impedance signal to determine information representative of chest compressions performed by a rescuer on the patient during the CPR treatment of the patient, based on the processing, determine corrective action for the CPR treatment, and provide CPR treatment feedback comprising the corrective action at the CPR treatment feedback device.

In one implementation, an insulin delivery system using an on-body network includes an insulin delivery device that is adapted to administer dosages of insulin to a patient; a controller that is adapted to control operation of the insulin delivery device, to establish a first network connection in which the controller acts in a central role, and to establish a second network connection in which the controller acts in a peripheral role; one or more peripheral devices that are adapted to generate patient data related to blood glucose levels and to transmit the patient data wirelessly over the first network connection, the peripheral devices acting in a peripheral role over the first network connection; and a mobile application installed on a mobile computing device that is programmed to communicate with the controller over the second network connection, the mobile application communicating in a central role over the second network connection.

Disclosed herein are systems and methods that can assess whether there is an issue with tissue perfusion, which can help a clinician better predict any surgical complications that may arise. Fluorescence images of the tissue of a subject can continuously be observed until a portion of the tissue that first perfused with blood containing one or more fluorescent agents is at peak fluorescence. Any areas of the tissue from the fluorescence images that remain dark can be further observed until these areas of concern show their first sign of fluorescence. The time it takes for these areas of concern to show their first signs of fluorescence since the first onset of fluorescence in the tissue can be referred to as the relative onset fluorescence delay. If the relative onset fluorescence delay time is greater than a predetermined threshold, the clinician can alter or change the surgical plan.