A biosensor assembly that measures multiple physical parameters is disclosed. The biosensor assembly includes a first implantable probe and a first skin contacting electrode. Wherein a first physiological parameter is measured between the first implantable probe and the first skin contactable electrode.

Computer-implemented methods of enabling an on-the-fly generation of at least one user-defined montage from EEG electrodes positioned in a patient's brain, on the patient's brain and/or on the patient's scalp. The methods includes generating a graphical interface to display a view of the patient's brain and/or scalp overlaid with the EEG electrodes, each of which is uniquely identified with reference to its position in the patient's brain, on the patient's brain and/or on the patient's scalp, displaying a tool within the graphical interface for selecting at least one electrode from the displayed EEG electrodes, indicating a reference electrode corresponding to the selected electrode, accessing EEG signals corresponding to the electrode and the reference electrode, and generating another graphical interface to display an EEG trace indicative of a comparison of EEG signals of the electrode and the reference electrode.

Described herein are systems and methods for performing optical signal analysis and lesion predictions in ablations. A system includes a catheter coupled to a plurality of optical fibers via a connector that interfaces with a computing device. The computing device includes a memory and a processor configured to receive optical measurement data of a portion of tissue from the catheter. The processor identifies one or more optical properties of the portion of tissue by analyzing the optical measurement data and determines a time of denaturation of the portion of tissue based on the one or more optical properties. A model is created to represent a correlation between lesion depths and ablation times using the time of denaturation, the one or more optical properties, and the predetermined period of time. A predicted lesion depth for a predetermined ablation time is generated using the model.

Various non-invasive sensors are adapted to be placed on a surface of an object having a volume with an internal region. The internal region of the object has internal properties indicated by corresponding internal parameters and an internal temperature distribution that is a function of the internal parameters and surface thermal signals. Each non-invasive sensor includes a heat flux sensor having one or more heat flux sensor output terminals to provide a measured heat transfer signal for the surface of the object, and a temperature sensor having one or more temperature sensor output terminals to provide a measured temperature signal for the surface of the object. Systems including one or more of the sensors perform non-invasive sensing of the object including accurate and rapid determination of an internal temperature distribution of the internal region of the object as well as one or more other internal properties of the object.

An implantable device having a communication system, a sensor, and a monolithic substrate is described. The monolithic substrate has an integrated sensor circuit configured to process input from the sensor into a form conveyable by the communication system.

A biological information collection sensor unit includes sensors and a processor. Each sensor has a light emitter emitting near-infrared or infrared light and a light receiver collecting transmitted light including at least light transmitting through a measurement target tissue. The sensors are arranged on surfaces of a measurement target region and configured to collect optical information regarding tissues of the measurement target region. The processor calculates tissue oxygen saturation information regarding oxygen saturation of the tissue based on the optical information. The sensors are arranged in different areas of the measurement target region. The processor includes an arithmetic processor to calculate the tissue oxygen saturation information for each sensor and a notifier to output a notification signal when the number of the sensors collecting the optical information used to calculate the tissue oxygen saturation information equal to or greater than a preset threshold satisfies a specified condition.

The disclosed is an ostomy system configured to detect a leakage of output between abase plate and/or a sensor assembly part of the ostomy system and a surface of a subject and a method of detecting the leakage of output. The ostomy system including the base plate and/or the sensor assembly part and a monitor device, the base plate and/or the sensor assembly part comprising (i) a first adhesive layer having a distal surface, a proximal surface, and a first plurality of openings, and (ii) an electrode assembly comprising a plurality of electrodes and a masking element between the plurality of electrodes and the first adhesive layer, the masking element having a second plurality of openings aligned with the first plurality of openings of the first adhesive layer, each of the aligned first and second plurality of openings exposes a portion of one of the plurality of electrodes to define one of a plurality of sensor points, the monitor device electrically coupled to the plurality of electrodes of the base plate and/or the sensor assembly part.

A patient monitor can noninvasively measure a physiological parameter using sensor data from different measurement sites on a patient. The patient monitor can combine all sensor data from different measurement sites into a raw or minimally processed data form to generate a single, robust measurement of the physiological parameter. An optical sensor of a patient monitor can include multiple photodetectors each configured to generate a signal when detecting light attenuated by the patient's tissue. A measurement of a physiological parameter can be determined based on at least in part on the multiple signals from the multiple photodetectors.

A system and method for automatically detecting a location of a plurality of hotspots from a thermal image of a breast region of a subject by (i) automatically detecting areolar points (x, y) from the thermal image of the breast region of the subject, (ii) automatically detecting a plurality of hotspot regions on the thermal image of the breast region of the subject by performing a hotspot region segmentation method, (iii) calculating a plurality of radial locations (ri, θ) of a plurality of hotspots on the hotspot region, (iv) automatically generating a text report based on the detected location of the plurality of hotspots and (v) providing the detected radial locations (ri, θi) of the plurality of hotspots as a text report to scan the plurality of hotspots only on the detected radial locations (ri, θi) instead of scanning in the entire breast region of the subject.

The heart valve assessment systems described herein advantageously provide indicators of a heart valve condition, such as a pressure gradient or a valve regurgitation index. The heart valve assessment systems can provide indicators of a heart valve condition during a heart procedure. A pressure gradient indicates a severity or measurement of the narrowing (or stenosis) of a valve by the increase in pressure behind it. A valve regurgitation index indicates a leakiness measurement of a valve.