Provided herein are systems and methods for implementing a modular light device for use in an electronic treatment device according to examples of the disclosure. In one or more examples, the modular light device can be implemented as a stand-alone component that can be swapped in and out of the treatment device. In one or more examples, the light device can include a light source array chamber configured to transmit UV light of a selected wavelength, the light source array chamber including one or more light source arrays and light sensors collectively configured as part of the light device to deliver light to a biological sample.

This disclosure relates to a medical device including, a hard part, a converter, and a conductive path. The hard part has fluid paths for guiding a medical fluid, in particular blood, through the hard part. The converter is arranged to measure a characteristic of the medical fluid while the fluid is present in one of the fluid paths. At least a first section of the converter or of the conductive path is applied to or superimposed on the hard part by a first additive application method. At least a second section of the converter or of the conductive path is applied to the hard part by a second application method. The first and the second additive application methods differ from each other.

Embodiments of negative pressure wound therapy systems and methods are disclosed. In some embodiments, a wound therapy system includes a negative pressure source configured to provide negative pressure via a fluid flow path to a wound dressing, a first circuit board assembly including a first controller configured to control a wound therapy with the wound dressing by activation and deactivation of the negative pressure source, and a second circuit board assembly in communication with the first circuit board assembly, the second circuit board assembly separate from the first circuit board assembly. The second circuit board assembly can include a second controller configured to wirelessly communicate therapy data via a communication network, receive an executable command from an electronic device, and execute the executable command without providing the executable command to the first controller.

Methods for monitoring patient parameters and blood fluid removal system parameters include identifying those system parameters that result in improved patient parameters or in worsened patient parameters. By comparing the patient's past responses to system parameters or changes in system parameters, a blood fluid removal system may be able to avoid future use of parameters that may harm the patient and may be able to learn which parameters are likely to be most effective in treating the patient in a blood fluid removal session.

A patient interface for delivery of a supply of pressurised air or breathable gas to an entrance of a patient's airways comprising: a cushion member that includes a retaining structure and a seal-forming structure permanently connected to the retaining structure; a frame member attachable to the retaining structure; and a positioning and stabilising structure attachable to the frame member.

A closed-loop system for insulin infusion overnight uses a model predictive control algorithm (“MPC”). Used with the MPC is a glucose measurement error model which was derived from actual glucose sensor error data. That sensor error data included both a sensor artifacts component, including dropouts, and a persistent error component, including calibration error, all of which was obtained experimentally from living subjects. The MPC algorithm advised on insulin infusion every fifteen minutes. Sensor glucose input to the MPC was obtained by combining model-calculated, noise-free interstitial glucose with experimentally-derived transient and persistent sensor artifacts associated with the FreeStyle Navigator® Continuous Glucose Monitor System (“FSN”). The incidence of severe and significant hypoglycemia reduced 2300- and 200-fold, respectively, during simulated overnight closed-loop control with the MPC algorithm using the glucose measurement error model suggesting that the continuous glucose monitoring technologies facilitate safe closed-loop insulin delivery.

Concentrations are determined based on a measurement of a composition (X) by Laser Induced Breakdown Spectroscopy (LIBS). The LIBS spectrum (Sx) comprises resonance peaks (Rk,Rca,Rna) corresponding to the constituents (K,Ca,Na) in the composition (X). The resonance peaks comprise spectral amplitudes (Pk,Pca,Dna,Pna) indicative of the unknown concentrations (Cna,Ck,Cca) of the constituents (K,Ca,Na). A first spectral amplitude (Pk,Pca,Dna) in the LIBS spectrum (Sx) corresponds to the unknown concentration (Ck,Cca,Cna) of a first constituent (K,Ca,Na) to be determined. A second spectral amplitude (Pna) corresponds to a maximum value of a self-reversed resonance peak (Rna) of the first or another constituent (Na) in the LIBS spectrum (Sx). An amplitude ratio (Pk/Pna, Pca/Pna, Dna/Pna) is calculated between the first spectral amplitude (Pk,Pca,Dna) and the second spectral amplitude (Pna) and the ratio is matched with calibration data to determine concentrations.

A medical system for assisting with an intubation procedure for a patient. The system comprising airflow sensors configured to obtain data indicative of airflow in the patient's airway and physiological sensors configured to obtain information regarding airflow in the patient's lungs. The system further including a monitoring device communicatively coupled to the airflow sensors and the physiological sensors. The patient monitoring device comprising at least one processor coupled to memory and configured to: provide a user interface on a display and assist the rescuer in determining proper placement of an endotracheal tube, receive the data indicative of the airflow in the patient's airway, receive the physiological information regarding the airflow in the patient's lungs, and determine whether the tube is properly placed based on the received physiological information, and present an output of the determination of whether the ET tube was properly placed.

A surgical gas delivery device includes a filter cartridge interface and a computer controlled control unit configured to control the circulation of surgical gas during endoscopic surgery. The control unit can operate in a plurality of different modes of operation. A tube set for connecting the surgical gas delivery device to one or more end effectors includes a filter cartridge in fluid communication with the tube set. The filter cartridge is seated in the filter cartridge interface of the surgical gas delivery device to communicate surgical gas between the surgical gas delivery device and the one or more end effectors. The surgical gas delivery device includes a reader operatively connected to receive input from a data carrying element of the tube set. The data carrying element, reader, and control unit can launch a specific one of the modes of operation when the filter cartridge is inserted.

The invention provides a device (and method) for masking noise in which a calibration is carried out to determine the sensitivity of a user to a calibration sound. During use of the device, the signal characteristics of the masking sound are adjusted based on the detected noise, the response of the user to the detected noise and also the response of the user to the calibration sound. As a result, a masking sound is generated that is optimally adapted to mask unwanted noise, in particular in a way which avoids the masking noise itself becoming a disturbance to the particular user.