Methods and apparatus for guiding medical care based on sensor data from the gastrointestinal tract are described utilizing an apparatus which can be used with enteral feeding. Generally, the apparatus includes an elongated body having a length configured for insertion into a stomach and at least one pair of electrodes located along the length of the elongated body and positionable for placement within the stomach. A controller in electrical communication with the at least one pair of electrodes is included and the control may also be configured to measure a conductivity or impedance between the pair of electrodes and to determine a gastric residual volume of the stomach based on the measured conductivity or impedance.

The present invention is related to electrode belts and, more particularly, to electrode belts used to obtain signals from electrical impedance tomography. The electrode belt for acquiring signals of electrical impedance tomography comprises at least one module, in which each module comprises at least two electrodes, wherein the center of each electrode is placed at a predetermined distance in relation to the center of at least one other adjacent electrode.

Examples of the disclosure relate to apparatus, methods and computer programs for identifying characteristics of biological samples. The apparatus can comprise means for obtaining a plurality of multi-dimensional and multi-layered datasets from a biological sample and dividing the plurality of multi-dimensional and multi-layered datasets into a plurality of sections wherein each section comprises at least one feature. The means are also for filtering, for at least a subset of the sections, the plurality of multi-dimensional and multi-layered datasets to select features of interest, comparing the selected features of interest to a plurality of reference features and making one or more associations between two or more selected features of interest to identify one or more characteristics of the biological sample.

Examples of the disclosure relate to apparatus, methods and computer programs for identifying characteristics of biological samples. The apparatus can comprise means for obtaining a plurality of multi-dimensional and multi-layered datasets from a biological sample and dividing the plurality of multi-dimensional and multi-layered datasets into a plurality of sections wherein each section comprises at least one feature. The means are also for filtering, for at least a subset of the sections, the plurality of multi-dimensional and multi-layered datasets to select features of interest, comparing the selected features of interest to a plurality of reference features and making one or more associations between two or more selected features of interest to identify one or more characteristics of the biological sample.

A stretchable capacitance sensor having multiple components for communicating signals to a data acquisition system for reconstructing an image of an area or object located in a subject being sensed, and for calculating the shape or conformity that it is in. The stretchable sensor consists of an inner layer of plates that provide the capacitance data, a middle layer of plates that provide the geometry-sensing data, and an outer layer of plates that serves as the shielding ground layer. The configuration of all three components can be variably changed to increase the capacitance data channels, increase or decrease flexibility and stretchability of the sensor, and increase the spatial resolution of the geometry sensing feature. The sensor is adapted to communicate signals to a data acquisition system for providing an image of the area or object between the capacitance plates.

Example systems and techniques for denervation, for example, renal denervation. In some examples, a processor determines one or more tissue characteristics of tissue proximate a target nerve and a blood vessel. The processor may generate, based on the one or more tissue characteristics, an estimated volume of influence of denervation therapy delivered by a therapy delivery device disposed within the blood vessel. The processor may generate a graphical user interface including a graphical representation of the tissue proximate the target nerve and the blood vessel and a graphical representation of the estimated volume of influence.

Example systems and techniques for denervation, for example, renal denervation. In some examples, a processor determines one or more tissue characteristics of tissue proximate a target nerve and a blood vessel. The processor may generate, based on the one or more tissue characteristics, an estimated volume of influence of denervation therapy delivered by a therapy delivery device disposed within the blood vessel. The processor may generate a graphical user interface including a graphical representation of the tissue proximate the target nerve and the blood vessel and a graphical representation of the estimated volume of influence.

A method of extracting complex impedance from selected volumes of the material under test (MUT) combined with various embodiments of electrode sensor arrays. Configurations of linear and planar electrode arrays provide measured data of complex impedance of selected volumes, or voxels, of the MUT, which then can be used to extract the impedance of selected sub-volumes or sub-voxels of the MUT through application of circuit theory. The complex impedance characteristics of the sub-voxels may be used to identify variations in the properties of the various sub-voxels of the MUT, or be correlated to physical properties of the MUT using electromagnetic impedance tomography and/or spectroscopy.

Methods and compositions are provided for monitoring and optimizing electrolysis, for example, tissue electrolysis. Aspects of the methods include monitoring electrolysis of a tissue in a subject using an imaging technique or a measurement technique, e.g., a bulk spectroscopic measurement technique. Imaging techniques of interest include electrical impedance-based tomography and magnetic electrical impedance tomography. Electrical impedance-based imaging methods include imaging the electrical impedance of a tissue of the subject undergoing electrolysis, and monitoring the electrolysis based on one or more electrical impedance images of the tissue. Another modality to monitor electrolysis is by magnetic resonance imaging (MRI)-based methods which include imaging pH changes in a tissue of the subject undergoing electrolysis by magnetic resonance imaging, and monitoring the electrolysis based on one or more magnetic resonance images of the pH changes in the tissue. Measurement techniques of interest include bulk measurements of electrical properties and their changes with electrolysis or bulk changes in magnetic resonance readings and their changes with electrolysis. Devices and systems thereof that find use in practicing the methods are also provided.

Disclosed is a computer-implemented method of creating an image of a specimen including receiving a first image of a first section of a specimen created using a first wavelength of invisible light a second image of a second section of the specimen adjacent to the first section and the second image created using the first wavelength of invisible light, co-registering the first image and the second image and creating, by the processor, a single-plane image of the first section using a next-image process.