Medical patient monitoring sensor devices including a disposable sensor assembly and a reusable pairing device are disclosed. The disposable sensor assembly can collect patient physiological data and provide power for the reusable pairing device. The reusable pairing device can establish wireless communication with a monitoring device. Once the reusable pairing device receives patient physiological data from the disposable sensor assembly, the reusable pairing device can wirelessly transmit the data to the computing device via the wireless communication.

The present invention relates bringing a new accessible and accurate computational modeling approach to compute electric and magnetic fields in the brain to clinical practice.

A device and method for treating a variety of conditions, disorders or diseases with diaphragm/phrenic nerve stimulation is provided.

A diagnostic Electrochemical Impedance Spectroscopy (EIS) procedure is applied to measure values of impedance-related parameters for one or more sensing electrodes. The parameters may include real impedance, imaginary impedance, impedance magnitude, and/or phase angle. The measured values of the impedance-related parameters are then used in performing sensor diagnostics, calculating a highly-reliable fused sensor glucose value based on signals from a plurality of redundant sensing electrodes, calibrating sensors, detecting interferents within close proximity of one or more sensing electrodes, and testing surface area characteristics of electroplated electrodes. Advantageously, impedance-related parameters can be defined that are substantially glucose-independent over specific ranges of frequencies. An Application Specific Integrated Circuit (ASIC) enables implementation of the EIS-based diagnostics, fusion algorithms, and other processes based on measurement of EIS-based parameters.

An optimized population model that estimates blood glucose values for a population of users is generated by mapping received data for the population of users over a time period to a sequence of estimated blood glucose values for the population of users over the time period. Discrete blood glucose measurement data for each user, user activity data for each user, and other contextual data for each user can be processed via a supervised machine learning model to learn a transfer function for a population model that estimates blood glucose values for the population of users. One or more parameters of the learning model can be adjusted to generate the optimized population model.

Provided herein are methods and systems for monitoring a patient using a pressure-sensing device containing a pressure-sensitive region configured to selectively overlie a pressure ulcer-prone body part of the patient. In some embodiments, the pressure-sensing device includes a multilayered sensing unit containing a pressure-sensing layer to sense force and an adhesive layer configured to attach the pressure-sensing device to the body part. Also provided is a kit that includes the pressure-sensing device. The present methods, systems, and kits may fmd use in reducing the risk of pressure ulcer development in a patient.

Embodiments and aspects described herein provide a method of determining pressure difference across a tube arising from fluid flow within the tube, comprising: obtaining three-dimensional time dependent fluid velocity data at a plurality of points along the tube; processing the three-dimensional time dependent fluid velocity data to determine: i) a flow rate (Q) of the fluid through the tube; ii) the kinetic energy (K) of the fluid flow through the tube; iii) an advective energy rate (A) of the fluid flow through the tube; and iv) a viscous dissipation rate (V) pertaining to the fluid flow; and calculating the pressure difference in dependence on all of the flow rate (Q), kinetic energy (K), advective energy rate (A), and viscous dissipation rate (V). Further embodiments and aspects are also described.

An oxygen mask configured for CO.sub.2 sampling and oxygen delivery, the oxygen mask having an oxygen inlet, a nasal breath-sampling element and a breath sampling port configured to receive breath samples, sampled by the breath-sampling element, wherein the breath-sampling element is configured to reduce dilution of exhaled breath by the delivered oxygen.

A biological analysis device includes a blood vessel calculation unit that calculates a blood vessel index related to a blood vessel of a biological body in accordance with a blood mass integration value obtained by integrating blood mass indexes relate to a blood mass of the biological body during an integration period and a blood flow integration value obtained by integrating blood flow indexes related to a blood flow of the biological body during the integration period.

A system, method and non-transitory computer-readable storage medium for monitoring motion during medical imaging. The monitoring of the motion includes initiating an acquisition of image data, measuring physiological signals of a patient, generating a prediction signal by integrating the physiological signals, determining whether patient motion is likely to occur based on the prediction signal and modifying the acquisition of image data, if it is predicted that patient motion is likely to occur.