A method of determining signal quality in a patient monitoring device includes acquiring one or more signals using the patient monitoring device. One or more signal quality metrics are determined based on the one or more acquired signals. A noise condition is detected based on the one or more signal quality metrics, and a determination is made whether the noise condition should be classified as intermittent or persistent. One or more actions are taken based on the classification of detected noise as intermittent or persistent.

The present disclosure refers to a method for operating a system, the system comprising a medical device, having at least one of a sensor device for sensing medical data and a medication delivery device for delivering medication, a portable electronic consumer device, an intermediate device provided with a first communication protocol for data communication with the portable electronic consumer device and a second communication protocol for data communication with the medical device, and a control module provided in the intermediate device, the method comprising, in the control module, receiving control data from the portable electronic consumer device by a receiving functionality provided in the control module, the control data being configured for controlling operation of the medical device, determining whether the control data can be confirmed by a confirmation functionality provided in the control module, and if the control data are confirmed, transmitting the control data to the medical device by a transmission functionality provided in the control module. Further, a system is provided.

Systems, devices, and methods are provided for changing the power state of a sensor control device in an in vivo analyte monitoring system in various manners, such as through the use of external stimuli (light, magnetics) and RF transmissions.

Systems and methods of wireless sensing of physiological data includes obtaining physiological data from a patient with a wireless sensor. A patient location device determines a location of the patient. A location of the wireless sensor is obtained. The physiological data from the wireless sensor is associated to the patient based upon a determined proximity of the location of the wireless sensor to the location of the patient.

An aerosol delivery device may include a rechargeable power source configured to provide power to generate an aerosol, device electronics configured to generate the aerosol responsive to application of the power from the power source, and an authentication module. The authentication module may include a separate chip or circuit board relative to the device electronics. The authentication module may be inserted into the aerosol delivery device between the power source and the device electronics to control provision of the power to the device electronics for generation of the aerosol or between the power source and a charge port of the aerosol delivery device to control charging of the power source.

A method of treatment of a type 2 diabetic patient includes selecting a type 2 diabetic patient having a predetermined comorbidity for treatment, initiating a continuous glucose monitor regimen for the selected type 2 diabetic patient, wherein after six months of initiation of the continuous glucose monitor regimen, a rate of hospitalization for a predetermined diagnostic category of the selected patient having the predetermined comorbidity is reduced by at least 12% relative to an average rate of hospitalization for the predetermined diagnostic category of selected patients having the predetermined comorbidity without the continuous glucose monitor regimen.

A perspiration sensing system includes a sensor patch and a smart device. The sensor patch includes one or more perspiration sensing portions. The one or more perspiration sensing portions include an inlet having a predefined size to receive perspiration from a predefined number of sweat glands and an outlet for reducing back pressure. At least one perspiration sensing portion includes a channel having a colorimetric sensing material that changes color when exposed to perspiration. At least one perspiration sensing portion includes a colorimetric assay in a substrate that changes color when exposed to biochemical components of perspiration. The system further includes a smart device having a camera that can take a picture of the sensor patch and determine the volume, rate of perspiration, and/or biochemical components of the perspiration from the one or more perspiration sensing portions.

A core body temperature sensor system which has multiple pairs of temperature sensors across a first insulating layer. The sensed temperatures are monitored as well as the rate of change of sensed temperature at the temperature sensors. The core body temperature is obtained based on a first representative temperature for the first set of temperature sensors, a second representative temperature for the second set of temperature sensors and rate of change information.

In general, adaptive responses from smart packaging of drug delivery absorbable adjuncts and methods of using smart packaging of drug delivery absorbable adjuncts are provided.

It is described a system and a method for respiratory activity analysis comprising the use of Respiratory Inductance Plethysmography (RIP). In particular, a wearable system for extracting physiological parameters of a person by measuring at least one plethysmographic signal is disclosed. The system comprises: a wearable garment fitting a body part of the person; at least one wire supported by or embedded into the garment, each wire forming a loop around the body part when the person wears the garment for measuring a plethysmographic signal; and an electronic device supported by or fixed on the garment and including a Colpitts oscillator connected to each wire loop, wherein the Colpitts oscillator has an optimal frequency band from 1 MHz to 15 MHz for extracting the plethysmographic signal measured by each wire, the electronic device converting analog information measured by the Colpitts oscillator into digital analyzable information.