A medical device capable of determining its location is provided. The medical device comprises a memory, one or more antennas, one or more processors coupled with the memory and the one or more antennas, a location manager component executable by the one or more processors. The location manager component is configured to receive first location information from a first location information source and second location information from a second location information source, to rank the first location information source and the second location information source according to a hierarchy of location information sources, the hierarchy of location information sources specifying that the first location information source is of higher rank than the second location information source, determine an approximate location of the medical device based on the first location information, and improve the accuracy of the approximate location based on the second location information.

Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device capable of delivering fluid to a patient involves obtaining, by a control system associated with the infusion device, an input meal indication, obtaining historical data for the patient associated with the input meal indication, determining an estimated carbohydrate amount corresponding to the input meal indication based at least in part on the historical data, determining a bolus dosage of the insulin based at least in part on the estimated carbohydrate amount, and operating an actuation arrangement of the infusion device to deliver the bolus dosage of the insulin to the patient.

In accordance with some non-limiting examples of the disclosed subject matter, an ingestible system configured to acquire physiological information from an interior of a subject is provided, comprising a substrate and at least one physiological sensor. The at least one “physiological sensor can be coupled to the substrate and configured to capture physiological data from at least one of an internal area or an orientation in a digestive tract of the subject. The system can include a controller coupled to the substrate and configured to receive the physiological data and prepare the physiological data for one of transmission from the subject or analysis of the physiological data. The substrate, including the at least one physiological sensor and the controller coupled thereto can be configured to self-orient within the digestive tract of the subject, during ingestion of the system by the subject.

System and methods for controlling healthcare devices and systems using voice commands are presented. In some aspects a listening device may receive voice command from a person. The voice command may be translated into human readable or machine readable text via a speech-to-text service. A control component may receive the text and send device-specific instructions to a medical device associated with a patient based on the translated voice command. In response to the instructions, the medical device may take an action on a patient. Some examples of actions taken may include setting an alarm limit on a monitor actively monitoring a patient and adjusting the amount of medication delivered by an infusion pump. Because these devices may be controlled using a voice command, in some cases, no physical or manual interaction is needed with the device. As such, multiple devices may be hands-free controlled from any location.

A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.

A physiological information processing apparatus includes a processor and a memory storing computer-readable instructions. When the instructions are executed by the processor, the physiological information processing apparatus obtains physiological information data indicative of physiological information of a subject, obtains a first parameter associated with a vital sign of the subject based on the physiological information data, displays a first trend graph showing temporal change in the first parameter in a first display area of a display screen of a display, obtains a second parameter associated with an autonomic nerve function of the subject based on the physiological information data, and displays a second trend graph showing temporal change in the second parameter in a second display area of the display screen. The first and second display areas are displayed next to each other such that time axes of the first and second display areas are synchronized with each other.

Apparatus and methods for detecting onset of cardiac arrest utilizing a perfusion monitor. Detecting cardiac arrest comprises transmitting a signal toward a user to interact with the skin of the user, receiving a reflection of the signal, generating a photoplethysmogram, and processing the photoplethysmogram to detect whether the user is experiencing cardiac arrest.

An example of a system for monitoring and treating respiratory distress in a patient may include signal inputs, a signal processing circuit, and a respiratory distress analyzer. The signal inputs may be configured to receive patient condition signals indicative of autonomic balance of the patient. The signal processing circuit may be configured to process the patient condition signals and to generate patient condition parameters indicative of the autonomic balance using the processed patient condition signals. The respiratory distress analyzer may be configured to determine a state of the respiratory distress using the patient condition parameters, and may include a parameter analysis circuit configured to analyze the autonomic balance of the patient and to determine the state of the respiratory distress using an outcome of the analysis.

A tissue hydration monitor and method includes a sensor module having a plurality of LEDs positioned to emit a plurality of different wavelengths of light toward the user's skin and a detector that detects light transmitted and reflected through the user's skin to generate signals corresponding to an intensity of detected light at each of the different wavelengths. A processor/controller module generates a baseline hydration level based on the received signals, calculates a relative hydration level, and generates an output indicative of relative hydration personalized to the user. The housing is secured against the user's skin by an adhesive patch or a strap.

Systems and methods for vital sign monitors are disclosed herein. In some cases, a warning score is calculated based on first measurements of a first biological condition and second measurements of a second biological condition. In particular cases, the first measurements and the second measurements are automatically measured during the same time period. The warning score may be calculated based on an average of the first measurements and an average of the second measurements. Based on determining that the warning score is outside of a predetermined range, a clinical device may output an alert.