A method uses telemetry data based on user habit information or user monitoring. User information is acquired from one or more sensors of a monitoring device. The user information is selected from of at least one of, a user's activities, behaviors and habit information. Signals are routed through ID circuitry at the user monitoring device. User information is communicated between the monitoring device and a telemetry system. A database of user ID's is accessed at the telemetry system. The telemetry system analyzes telemetry data based on at least one of, user's activities, behaviors and habit information, user condition, and user parameter, to create personalized information about the user. One or more contexts of a user activity are associated with an activity manager. The activity manager is a standalone device, included with the telemetry system or included with the monitoring device.

Provided herein are compositions for the ingestible administration of lisinopril. In some embodiments the compositions comprise lisinopril and silicon. In some embodiments, the compositions comprise lisinopril, silicon, magnesium metal, and copper (I) chloride. Also provided herein are apparatuses comprising the compositions provided herein. Also provided herein are methods for using the compositions and apparatuses provided herein.

Systems, devices, and methods are provided for the management of multiple sensor control devices and/or multiple reader devices in an in vivo analyte monitoring environment, and also for resolving conflicts when merging data collected by different reader devices.

An electrosurgical return electrode configured for operable association with a transponder detection unit. The return electrode includes a conductive element having an aperture array configured to allow passage of a magnetic, electric, or electromagnetic interrogation signal from the transponder detection unit through the conductive element and through the return electrode. The return electrode is positionable over a transponder detection unit such that the return electrode may be placed upon the transponder detection unit and a patient may be positioned upon the return electrode. The return electrode enables the detection of a transponder located on, within, and/or near the patient without the need for repositioning the patient relative to the return electrode and without the need for positioning an ancillary transponder reader or transmitter above the patient.

A user device and a breath analysis device (or other types of portable devices) use a pairing and communication protocol that address user convenience and connectivity issues. For example, a breath analysis device is associated with a unique identifier and the unique identifier is associated with an account corresponding to the user. Likewise, a user device is associated with a user device identifier and the user device identifier is associated with the account corresponding to the user. The breath analysis device and the user device can use at least one of the identifiers to determine whether the user device is authorized to pair with the breath analysis device, and vice-versa. If authorized, the breath analysis device and user device can pair with one another. Once paired, the user device may wirelessly communicate with the breath analysis device for various purposes, such as to retrieve and display breath analysis test results.

A pulse oximetry system for reducing the risk of electric shock to a medical patient can include physiological sensors, at least one of which has a light emitter that can impinge light on body tissue of a living patient and a detector responsive to the light after attenuation by the body tissue. The detector can generate a signal indicative of a physiological characteristic of the living patient. The pulse oximetry system may also include a splitter cable that can connect the physiological sensors to a physiological monitor. The splitter cable may have a plurality of cable sections each including one or more electrical conductors that can interface with one of the physiological sensors. One or more decoupling circuits may be disposed in the splitter cable, which can be in communication with selected ones of the electrical conductors. The one or more decoupling circuits can electrically decouple the physiological sensors.

A system and method for atrial fibrillation detection in non-noise ECG data with the aid of a digital computer are provided. Electrocardiography (ECG) features and annotated patterns of the features are maintained in a database, at least some of the patterns associated with atrial fibrillation. A classifier is trained based on the annotated patterns, the classifier implemented by a convolutional neural network. A representation of an ECG signal recorded by one or more ambulatory monitors is received. Noise is detected in the representations and ECG features in the representation falling within each of the non-noise temporal windows are detected. The trained classifier is used to identify patterns of the ECG features. A value indicative of whether portions of the representation are associated the patient experiencing atrial fibrillation is calculated. That one or more of the portions are associated with the patient experiencing atrial fibrillation is determined.

A system is described to create customized unique identification (UID) codes combined with customized printable optical or NFC sensors and to combine these unique sensors and unique IDs with unique environmental events, traceability, unique data from cell phones (including geolocation) and person-specific unique indicators such as biomarkers to create completely unique, low cost and proprietary printable genomic and environmental blockchain sensor networks for the Internet of Things (IoT), counterfeit identification, healthcare, pharmaceutical applications and small payment transactions worldwide.

An assembly for enabling a caregiver to secure a physiological monitoring device to an arm of a user can include the physiological monitoring device a cradle configured to removably secure to the physiological monitoring device and to the user's arm. The physiological monitoring device can include a first connector port configured to electrically connect to a first cable and a first locking tab movable between an extended position and a retracted position. The cradle can include a base, first and second sidewalls, a back wall connected to the base and the first and second sidewalls. The cradle can further include a first opening in the back wall configured to receive the first connector port and a second opening in the first sidewall configured to receive the first locking tab when the physiological monitoring device is secured to the cradle and the first locking tab is in the extended position.

A system for monitoring the sobriety of a user is provided. The system may include a testing device that generates a substance content signal. The testing device may further include a mouthpiece and a user identification device. The user identification device may generate user identification data in response to a user’s breath and may transmit it from the testing device to a monitoring station. The testing device may further include at least one of an LCD screen or a light-emitting diode (“LED”) light. At least one of the LCD screen or the LED light may display at least one randomly generated visible identification indicia.