This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

The present invention relates to a sensor preparation assembly (30) for a body monitoring system, the sensor (30) comprising at least one needle, the preparation assembly comprising: a bag (26) comprising a volume of a preparation solution, the bag (26) being configured to be positioned under the sensor (30) and being configured to be pierced by the needle (32), a receptacle (28) on which the bag is arranged (26), bearing means (24) that arc movable in relation to the receptacle (28) toward a bearing position, the bearing means (24) in the bearing position being configured to cause the sensor (30) to pierce the bag (26). The invention further relates to a sensor preparation method, comprising the placement of the sensor (30) in a position that is interposed between the bearing means (24) and the bag (26), the needle (32) of the sensor (30) piercing the bag (26).

An embodiment a temperature measuring device including a blood flow meter configured to measure a first blood flow near a skin surface of a subject, a sensor configured to measure a first temperature and a first heat flux of the skin surface of the subject, a storage device configured to store a second blood flow of the subject, the second blood flow being measured before the first blood flow, a thermal resistance deriver configured to derive a first thermal resistance of the subject based on an amount of change between the first and second blood flows, and a temperature calculator configured to calculate an internal temperature of the subject based on the first temperature, the first heat flux, and the first thermal resistance.

A sensor data correction system, includes: a standard motion mechanism unit for performing a standard motion of a wearable sensor; a determination unit calculating a relationship between first sensor data that is sensed by a first wearable sensor provided with the standard motion mechanism unit and second sensor data that is sensed by a second wearable sensor provided with the standard motion mechanism unit; and a correction unit correcting the first sensor data or the second sensor data, on the basis of the relationship that is calculated by the determination unit.

The present invention relates to a system and a method for calibration between coordinate systems of a 3D camera and a medical imaging apparatus. The calibration system includes a calibration tool having markers and a reference point that is aligned with a center of the medical imaging apparatus to serve as an origin of the coordinate system. Positions of the markers in the coordinate system of the medical imaging apparatus are calculated according to relative positions of the markers with respect to the reference point. A 3D camera captures images to determine positions of the markers in the coordinate system of the 3D camera. A calculation device calibrates the coordinate system of the 3D camera and the coordinate system of the medical imaging apparatus using the positions of the markers in the coordinate system of the 3D camera and the p in the coordinate system of the medical imaging apparatus.

Various embodiments enable calibrating a non-invasive blood pressure measurement device by determining multiple parameters defining a stress-strain relationship of an artery of a patient. The device may obtain output signals from a blood pressure sensor at two or more measurement elevations. The obtained measurement signals may be filtered into AC and quasi-DC components, and results fit to exponential functions to calculate an arterial time constant and a veinous time constant related to vein draining/filling rates. The arterial and veinous time constants may be used to calculate an infinity ratio. The infinity ratio and the obtained sensor output may be used to calculate values for multiple parameters defining a stress-strain relationship of a measured artery. Once defined, this stress-strain relationship may be stored and applied to future sensor output signals (e.g., blood pressure measuring sessions) to infer patient blood pressure.

Methods, systems, and devices are provided for determining a respiratory flow, ventilation, and/or endotypes from Respiratory Inductance Plethysmography (RIP) signals. The method includes receiving data of a thoracic signal of a first RIP belt arranged proximate with a thorax of a subject, receiving data of an abdomen signal of a second RIP belt, and determining a respiratory flow of the subject based on the data of the thoracic signal and the data of the abdomen signal. Determining the respiratory flow includes two or more calibrations, including performing a first calibration by applying a first calibration coefficient that relates an amplitude of a differential change in the thoracic signal to an amplitude of a differential change in the abdomen signal to obtain a determined respiratory flow, and performing a second calibration on the determined respiratory flow that corrects for a non-linearity in the determined respiratory flow.

An electrosurgical system for performing an electrosurgical procedure is provided and includes an electrosurgical generator and a calibration computer system. The electrosurgical generator includes one or more processors and a measurement module including one or more log amps that are in operative communication with the processor. The calibration computer system configured to couple to a measurement device and is configured to measure parameters of an output signal generated by the electrosurgical generator. The calibration computer system is configured to compile the measured parameters into one or more data look-up tables and couple to the electrosurgical generator for transferring the data look-up table(s) to memory of the electrosurgical generator. The microprocessor is configured to receive an output from the log amp(s) and access the data look-up table(s) from memory to execute one or more control algorithms for controlling an output of the electrosurgical generator.

A method for operating a medical device includes activating a processor that receives electrical power from a battery in the medical device, measuring a temperature within a housing of the medical device, identifying a low battery voltage threshold based on the temperature, measuring a first voltage level of the battery, commencing an operation sequence after measuring the first voltage level of the battery, generating a plurality of voltage comparisons between a reference voltage level and a voltage level delivered from the battery during the operation sequence, and generating, an output indicating a low battery condition if at least one of the first voltage level of the battery is less than the low battery voltage threshold and above a predetermined minimum operating voltage threshold, or at least one voltage comparison indicating the voltage level of the battery is less than the reference voltage level during the operation sequence.

A medical imaging system may include an imaging device; an optical head coupled to the imaging device, the optical head comprising a plurality of optical sensors; and a control unit in communication with the optical head. The control unit may be configured to: receive data from the plurality of optical sensors, determine a subset of optical sensors from the plurality of optical sensors for viewing one or more visible targets based on the received data from the plurality of optical sensors, and instruct the optical head to transmit images from the subset of optical sensors.