A test strip for sampling a bodily fluid may include multiple layers of a substrate material, an adhesive between at least some of the multiple layers, and a microfluidic channel formed between at least some of the multiple layers. The test strip may further include multiple electrodes on one of the multiple layers, positioned and partially exposed within the microfluidic channel, an additional material positioned at or near an entrance to the microfluidic channel, to selectively limit the flow of at least one of bubbles or debris into the microfluidic channel, and at least one exit port in at least one of the multiple layers to allow for release of pressure from the test strip. In some embodiments, the test strip is a saliva analysis test strip. In some embodiments, the test strip includes multiple exit ports to prevent blockage of sample flow.

The blood glucose (BG) detector (BGD) stores baseline BG data therein. The BGD has a housing with legs forming a U-shaped sensing channel for a finger web or ear antihelix. The sensory channel limits insertion of the web/antihelix. A positional light sensor subsystem audibly and/or visually indicates a test-to-test detection position. A BG sensor on the legs uses IR 1550 bandwidth light to detect BG by transmission through the web/antihelix ro generate a detected BG signal. A comparator (in processor-memory system) compares detected BG signal to baseline BG data and generates a displayable BG level to the user via a display module. Alternatively, a leg-to-leg distance sensor may be used. A keypad enables upload of the BD baseline data (or an I/O port).

Various embodiments provide systems and methods for detecting tampering with a monitoring device using biometric data.

A wearable sweat sensor for detecting one or more analytes in human sweat comprises an optical module comprising at least one light source and at least one light detector; at least one sensor layer optically coupled to the optical module and having optical absorbance properties that are dependent on the concentration of a target analyte of said one or more analytes; and one or more processors in communication with the optical module. The one or more processors are configured to: cause light from the at least one light source to be transmitted towards, and/or through, the at least one sensor layer; obtain, from the at least one light detector, one or more optical signals reflected and/or transmitted from the at least one sensor layer; and determine, from at least one wavelength component of the one or more optical signals, a target analyte concentration.

A sensor measurement device includes: an impedance analyzer to determine an impedance of a sample; a first antenna configured to generate electromagnetic radiation having a first wavelength; an impedance-matching device, positioned in a radiation path between the first antenna and the sample, to receive the electromagnetic radiation from the first antenna and transmit electromagnetic radiation of the first wavelength into the sample, the impedance-matching device comprising a metasurface including: a substrate having a thickness no greater than the first wavelength of the electromagnetic radiation; and a plurality of elements supported by the substrate, wherein: the plurality of elements are spaced apart from one another across the substrate, each element has a first dimension no greater than the first wavelength of the electromagnetic radiation, and at least two elements of the plurality of elements differ in one or more of shape or size; and a second antenna configured to receive the electromagnetic radiation from the sample.

The present invention relates to a biosensor for determining an analyte comprising a substrate, a working electrode comprising an electrically conductive pad in conductive contact with a mediator layer, and an enzyme layer in diffusion-enabling contact with said mediator layer, wherein said mediator layer is an electrodeposited mediator layer, and wherein said mediator layer comprises, in an embodiment consists of, an electrocatalytic agent. The present invention further relates to a method for manufacturing a biosensor, comprising providing a substrate having at least one conductive pad, electrodepositing a mediator layer onto at least part of said conductive pad, wherein said mediator layer comprises, in an embodiment consists of, an electrocatalytic agent, and depositing an enzyme layer onto at least part of said mediator layer. Moreover, the present invention relates to uses and methods related to the biosensor of the present invention.

A device and method is provided for a suction tool combined with an optical probe. A suction device is provided having a tip with a hollow tubular body, a plurality of optical fibers embedded in the tip and a concentric ring attached to the tip, wherein the ring end has an inner beveled reflective surface opposing the optical fibers. A method is provided for optically measuring tissue in a medical procedure comprising suctioning a tissue using a suction device, sending optical signals along optical fibers through the suction device; directing the signals from the optical fibers onto the tissue using a beveled surface; receiving optical signals from the tissue in optical fibers via the beveled reflective surface; measuring the received optical signals in a spectrometer or detector; and releasing, resecting or ablating the tissue through the suction device.

Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval.

Pre-connected analyte sensors are provided. A pre-connected analyte sensor includes a sensor carrier attached to an analyte sensor. The sensor carrier includes a substrate configured for mechanical coupling of the sensor to testing, calibration, or wearable equipment. The sensor carrier also includes conductive contacts for electrically coupling sensor electrodes to the testing, calibration, or wearable equipment.

A method for determining a region in which the actual concentration is located, in a medium, of a substrate made up of any molecule likely to undergo catalysed oxidation-reduction by a catalyst. The method includes the following steps: taking at least one group of at least two biosensors, each biosensor having a calibration curve of the signal induced by the oxidation-reduction reaction and having identical initial portions of their calibration curves up to a concentration value of the substrate from which the measurement of the signal differ; and when more than one group is present, the biosensors in different groups having different calibration curves without identical initial portions; placing the biosensors in contact with the medium; measuring the signal induced by the oxidation or reduction reaction for each biosensor in the group/groups; comparing all the signal values produced by the biosensors and following the method described in the description.