Disclosed in the present disclosure is a method, system and apparatus for prediction, estimation and prevention of occurrence of agitation episode in a subject predisposed to agitation. The method comprises receiving, from a first monitoring device attached to a subject, physiological data of sympathetic nervous system activity in the subject and activity data of the subject; receiving, from a computing device, a plurality of indications associated with a plurality of agitation episodes of the subject; analyzing, using at least one machine learning model, the physiological data, the activity data, and the plurality of indications to determine a probability of an occurrence of an agitation episode of the subject; and sending a signal to a second monitoring device to notify the second monitoring device of the probability of the occurrence of the agitation episode of the subject such that treatment can be provided to the subject to decrease sympathetic nervous system activity in the subject.

An electronic vaporizer system includes an anesthetic sump containing anesthetic agent, a vaporizer unit that vaporizes the anesthetic agent from the sump and delivers the vaporized agent to a patient breathing circuit, and a gas sensor configured to measure end tidal concentration of the anesthetic agent and exhalation gasses from the patient. A control system is configured to receive the measured end tidal concentration of anesthetic agent and compare the measured end tidal concentration to a desired end tidal concentration to be maintained for the patient. The vaporizer unit is then automatically controlled to deliver an amount of vaporized agent to the patient based on the comparison.

The disclosed embodiments are directed to methods for adjusting, on a per individual basis, the maximum delivery limit of insulin delivered to a diabetic person via an automatic insulin delivery system, particularly for a diabetic who receives basal or bolus doses of insulin via an automatic insulin delivery system. Various embodiments of the method disclosed herein may be incorporated into a dosing algorithm of an automatic insulin delivery system.

This invention relates to an ingestible drug delivery device configured for wireless communication with other ingestible drug delivery devices.

A medical device includes a data transfer system with a transmitter device designed to send a data stream. At least one receiver device receives the data stream, and at least one transfer device transfers the data stream from the transmitter device to the receiver device. The transmitter device divides the data stream into individual data packets with a predetermined format. The receiver device includes a completeness checking mechanism that receives the individual data packets in the predetermined format and ensures the completeness of the data stream.

The present invention relates to a contact lens for diagnosis and treatment of dry eye syndrome. The contact lens, according to the present invention, may diagnose dry eye syndrome by means of a change in an electric current occurring as a result of a field effect when a dry eye syndrome biomarker binds to a probe, and when dry eye syndrome is diagnosed, generates an electric current so that a gold film blocking a drug reservoir melts by the electric current, thereby enabling the release of a drug to be controlled.

Described are techniques, processes, devices, computer-readable media that enable provision of an indication of whether it is safe for a person with diabetes to participate in exercise while using a wearable drug delivery system. A processor may receive or obtain physiological data related to a condition of a wearer of the wearable drug delivery system and by evaluating an exercise model that uses inputs related to the physiological data to make the determination of whether it is safe to exercise and output an exercise safety signal. Modifications to the wearer's medication treatment plan and other actions may be based on an outputted exercise safety signal.

A tissue disorder monitoring system includes at least two electrodes constructed and arranged to obtain analog electrical signals from a patient. An amplifier amplifies the analog electrical signals. Filter structure filters the amplified analog electrical signal. An A/D converter converts the amplified and filtered analog electrical signals to digitized electrical signals. A microprocessor circuit is constructed and arranged to execute an application that analyzes the digitized electrical signals to identify and to determine treatment data including a specific location and/or propagation of disordered tissue within the patient. A transmitter transmits data in a wireless manner. A power supply powers the device. A method locating disordered tissue in a patient is also disclosed.

Provided is a wearable medical device that includes a processor or logic circuitry. The wearable medical device may include a memory storing instructions that, when executed by the processor or logic circuitry, configure the wearable medical device to determine, by the processor or the logic circuitry, that an event affecting a blood glucose measurement value trend of a user has occurred. Based on the occurrence of the event, the processor or the logic circuitry may select a mode of operation of the analyte sensor, and generate a signal indicating the selected mode of operation. The mode of operation may correspond to a sampling frequency of a physical attribute or physiological condition of a user of the wearable medical device.

Devices, systems, and methods are provided herein for delivering medication (e.g., insulin) via a wearable pump having a patch-style form factor for adhesion to a user's body. The reusable pump may be coupled to a disposable cap housing a microdosing system for delivering precise, repeatable doses of medication to a cannula configured to deliver medication to a target infusion area beneath the user's outer skin layer. The system further may include an applicator for inserting the cannula into the user's skin and/or applying an adhesive pad to the skin.