Various analyte sensor systems for controlling activation of analyte sensor electronics circuitry are provided. Related methods for controlling analyte sensor electronics circuitry are also provided. Various analyte sensor systems for monitoring an analyte in a host are also provided. Various circuits for controlling activation of an analyte sensor system are also provided. Analyte sensor systems utilizing a state machine having a plurality of states for collecting a plurality of digital counts and waking a controller responsive to a wake up signal are also provided. Related methods for such analyte sensor systems are also provided. Systems for controlling activation of analyte sensor electronics circuitry utilizing a magnetic sensor are further provided. One or more display device configured to display one or more analyte concentration values are also provided.

A radio frequency (RF) front end device has a signal traveling from a first antenna to a second antenna in an uplink path and a signal traveling from a third antenna to a fourth antenna in a downlink path. The device is under the control of automatic on/off controller (AOOC) which upon receiving a signal indication from a receive signal detector and amplifier (RSDA) turns on the operations of power amplifier (PA) and simultaneously turns off a low noise amplifier (LNA). This LNA is turned off when the power amplifier is turned on to prevent uplink path and downlink path forming a feedback loop which would result in oscillation, noise and interference.

The invention relates to a spirometer (1) comprising a MEMS-based thermal fluid flow sensor (13, 13.1, 13.2) for generating a signal in response to a fluid flow generated during inhalation or exhalation; and a microcontroller (14) for calculating the fluid flow from the signal generated by the flow sensor (13, 13.1, 13.2). The spirometer (1) may be connected to other devices, such as a smartphone or a personal computer or any other computing unit which is adapted to collect, store, analyse, exchange and/or display data. The invention further describes the use of the spirometer (1) in measuring a user's lung performance and/or monitoring it over time. Furthermore, the spirometer (1) may be provided in a system together with an air quality measurement device for determining the air quality at a location of interest; and a computing unit for collecting, analysing and correlating the user's lung performance data obtained from the spirometer (1) with the air quality data, and optionally geolocalisation data of said location.

An electronic device is provided. The electronic device includes a communication module, a display, a memory, a biosensor configured to measure oxygen saturation, and at least one processor. The at least one processor may be configured to obtain electronic medical record (EMR) data from an external server through the communication module, identify oxygen saturation-related medical records based on the EMR data, based on occurrence of an event, determine a specified oxygen saturation measurement period and a specified reference oxygen saturation range based on the oxygen saturation-related medical records, measure oxygen saturation based on the specified oxygen saturation measurement period by using the biosensor, identify whether the measured oxygen saturation satisfies the specified reference oxygen saturation range, and display the measured oxygen saturation and information indicating whether the measured oxygen saturation satisfies the specified reference oxygen saturation range on the display.

A dry electrode and a physiological multi-parameter monitoring equipment are disclosed. The waterproof dry electrode comprises an encapsulation, extraction electrode and a contact surface layer, wherein the extraction electrode and the contact surface layer are connected with each other and disposed in the encapsulation; the contact surface layer comprises an exposed part and an embedded part encapsulation; the encapsulation comprises flexible silica gel and hard plastic portion, the embedded part being embedded into the hard plastic portion, and the hard plastic portion being packaged in the flexible silica gel. Through the above arrangement in the present invention, the dry electrode can reach a waterproof grade of IPX7, which is higher than living waterproof grade of an ordinary dry electrode. The PMPME can be a patch-type acquisition and monitoring equipment which is convenient for long time wearing and physiological multi-parameter monitoring, with excellent sealing and waterproofness, and the electrode is reusable.

The invention relates to a spirometer (1) comprising a MEMS-based thermal fluid flow sensor (13, 13.1, 13.2) for generating a signal in response to a fluid flow generated during inhalation or exhalation; and a microcontroller (14) for calculating the fluid flow from the signal generated by the flow sensor (13, 13.1, 13.2). The spirometer (1) may be connected to other devices, such as a smartphone or a personal computer or any other computing unit which is adapted to collect, store, analyse, exchange and/or display data. The invention further describes the use of the spirometer (1) in measuring a user's lung performance and/or monitoring it over time. Furthermore, the spirometer (1) may be provided in a system together with an air quality measurement device for determining the air quality at a location of interest; and a computing unit for collecting, analysing and correlating the user's lung performance data obtained from the spirometer (1) with the air quality data, and optionally geolocalisation data of said location.

Trained machine learning models can be used for analysis of signals obtained through an in-ear or on-body device. Signals can be analyzed to determine information related to activities such as eating, chewing, drinking, coughing, or sneezing. In addition, data from an in-ear thermometer or other data sensors can be analyzed in conjunction with the machine learning models to provide data or recommendations to a user on a user device or initiate an action.

The present invention is directed to system and method for effectively monitoring critical respiratory parameters including SpO.sub.2, PR, COHb, inspired CO.sub.2, expired CO.sub.2, respiration rate, respiration pattern, hyperventilation (hypocapnia), hypoventilation (hypercapnia), CO.sub.2 contamination, and CO.sub.2 rebreathing. The system according to the present invention comprises a pulse oximetry sensor and a CO.sub.2 sensor connected to a central portable unit. The central unit comprising a barometer, an accelerometer, a capnography circuit, and a control unit. The control unit including the method for effectively monitoring critical respiratory parameters.

Disclosed herein are devices, systems, and methods for updating alarm limits applied in monitoring one or more medical parameters of a subject. The devices, systems, and methods obtain a measurement of ambient pressure at a defined time point (‘t.sub.1’) and compare the measurement of ambient pressure at the defined time point (‘t.sub.1’) to a reference ambient pressure. If a difference between the measured ambient pressure values at t.sub.1 and the reference ambient pressure is at or above a predetermined threshold, the alarm limits are updated to correspond with the ambient pressure at t.sub.1 or a user is alerted to update the alarm limits.

An apparatus for energy expenditure estimation includes a heart rate sensor for producing a heart rate value indicative of a heart rate of an individual, a heat-flux sensor for producing a heat-flux value indicative of a heat-flux flowing through a measurement area on the skin of the individual, and a processing system communicatively connected to the heart rate sensor and the heat-flux sensor. The processing system is configured to produce an estimate of the energy expenditure based on the heart rate value and the heat-flux value. The use of the heat-flux value improves the accuracy of the estimation especially during low-intensity exercise and rest, when both heart rate and acceleration values often fail to provide information meaningful enough for energy expenditure estimation.