Abstract: A known signal is sent to a resistor of a mobile computing device, wherein the resistor directly contacts a surface. A signal is from the resistor, wherein the signal comprises the known signal and a degree of thermal noise from the resistor, and wherein the degree of thermal noise is associated with a temperature of the surface. The thermal noise is extracted from the signal from the resistor. The temperature of the surface is determined based on the thermal noise extracted from the signal from the resistor.

Abstract: The present invention relates to a non-invasive transdermal apparatus for measuring complex impedance of body tissue. The apparatus comprises: at least two electrodes coupled, in use, to the surface of the skin; a signal source to deliver an electrical potential to the electrodes; a monitor to detect changes in the signal passing through body tissue between the electrodes; and a processor operatively coupled to the signal source and monitor and configured to: use the signal source to apply a potential to the electrodes to reduce the electrical impedance of the stratum corneum; and use the monitor to measure complex transdermal impedance AC signals corresponding to ? and ? dispersion spectra.

Abstract: Described are systems and methods for detecting sleep-related breathing events during a sleep session of a user based on sensor data from a wearable device, such as a wrist-worn wearable device. For example, disclosed implementations detect biometric changes of the user that may be indicative of sleep-related breathing events and determine, based on features determined from those biometric changes, that a sleep-related breathing event has occurred. In addition, the disclosed implementations provide a presentation and explanation of the determined sleep-related breathing events.

Abstract: The present invention relates to the field of diagnostics. Specifically, it relates to a method for assessing Huntington's disease of the pre-manifest stage in a subject comprising the steps of determining at least one performance parameter from a dataset of fine motoric measurements from said subject, comparing the determined at least one performance parameter to a reference, and assessing Huntington's disease of the pre-manifest stage in the subject based on said comparison. Yet, the invention contemplates a device and a system for carrying out the aforementioned methods and the use of such device or system for assessing Huntington's disease of the pre-manifest stage in the subject.

Abstract: System and methods of using an Artificial Intelligence (“AI”) trained model for classifying a patient's gait include receiving a video of a patient on the gait analysis device; classifying the patient's gait using a machine learning process on the gait analysis device; wherein the machine learning process is generated from an Artificial Intelligence (“AI”) trained model comprising: a key point trained model configured to generate a set of key points on a patient's body; an Angle-Based Approach configured to use the set of key points to classify the patient's gait based on angle calculations between key points; and a Key Point Path Track-Based Approach configured to use the key points to classify the patient's gait based on a patient's stance phase and swing phase.

Abstract: At least one light source may be configured to illuminate a region of interest of a subject, and at least one light sensor may be configured to non-invasively measure reflected light within the region of interest. At least one processor may perform processing comprising receiving at least one measured value of light from the at least one light sensor. From the measured value of light, the processor may determine at least one thickness or depth of at least one tissue layer within the region of interest of the subject and/or perform further processing to determine at least one physical characteristic of the region of interest of the subject.

Abstract: An electronic device includes a shell, a contact member, a temperature sensor, and a circuit board. The shell has an accommodating space. The contact member is arranged on the shell, and at least part of a surface of the contact member forms an outer surface of the electronic device. The temperature sensor is arranged in the accommodating space and has a positive electrode and a negative electrode. The circuit board is arranged in the accommodating space and provided with a positive wire and a negative wire. The positive wire is connected to the positive electrode of the temperature sensor. The negative wire is connected to the negative electrode of the temperature sensor. At least one of the positive wire and the negative wire is thermally conductively connected to the contact member.

Abstract: A method of determining a microvascular resistance score indicating perfusion of myocardial tissue in a body of a mammal is provided, comprising obtaining acquired blood pressure data and flow data of blood in a cardiac vessel while the mammal is in a first physiological state; obtaining throughflow data indicative of a geometry the cardiac vessel; generating adjusted blood pressure data and adjusted flow data corresponding to a second physiological state, based on the acquired blood pressure value and the first physiological state; generating the microvascular resistance score, based on the adjusted blood pressure data, the adjusted flow data and the throughflow data; and providing, through an electronic output signal, the microvascular resistance score for display on an electronic display module.

Abstract: One embodiment described herein takes the form of a wearable electronic device, such as a watch, including a housing, a memory and a processor located in the housing, and three or more sensors. Each sensor of the three or more sensors is configured to generate a measurement of a parameter. Each sensor of the three or more sensors is located in a different region in the housing. The processor is configured to execute instructions stored in the memory. In response to execution of the instructions by the processor, the processor is configured to generate an adjusted measurement of the biometric parameter using at least the measurements of the parameter generated by the three or more sensors. The parameter is a temperature, and the biometric parameter is a body temperature of a user.

Abstract: Methods, systems, and devices for menstrual cycle phase identifier are described. A system may be configured to receive physiological data collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values taken over the plurality of days where the time series includes a plurality of menstrual cycles for the user. The system may then identify morphological features in the time series and identify menstrual cycle phases in the time series based on the morphological features. The system may cause the graphical user interface to display the identified menstrual cycle phases.

Abstract: The present disclosure is directed to systems and methods for measuring pupillary responses to visible light stimuli. An exemplary system provides a display and a camera on the same side of a device; the display provides a visible light stimulus to illuminate a user's face and cause a pupillary reflex. A visible light or infrared camera thereafter receives image data of the pupillary light reflex. In some examples, an ambient light sensor and infrared measurement systems allow for performing pupillary light reflex assessments in low lighting conditions.

Abstract: A fluid container including a container having a proximal end, a distal end, and an opening at the proximal end, a collecting chamber coupled to the proximal end of the container. The collecting chamber has a proximal end with an upper opening and a distal end with a lower opening, the upper opening having a diameter larger than a diameter of the lower opening. The fluid container further includes a cover with a base coupled to the proximal end of the collecting chamber and a stopper extending distally from a bottom of the base, the cover having an open position and a closed position. In the closed position, the cover seals the proximal end of the collecting chamber, and the stopper extends through the collecting chamber and in the open position, the cover exposes the upper opening, and the stopper is removed from the area proximate the lower opening.

Abstract: The invention relates to a sensor for a body monitoring system comprising micro-needles for measuring body analyte, characterized in that it comprises a support base, at least one basic support plate, and at least one micro-needle distributed on the basic support plate, the basic support plate being adapted to be fixedly mounted on the support base.

Abstract: An eyeshade structure for bilirubin detection includes a body, a first detection module, and a second detection module. The body includes a bottom plate and a side wall. The side wall is connected to the bottom plate and forms an accommodating space with the bottom plate. The first detection module is arranged on the bottom plate. The second detection module is arranged on the bottom plate and is adjacent to the first detection module. The first detection module and the second detection module each include a circuit board, a light-emitting element, an inner photographing element, and an outer photographing element. The circuit board is connected to the bottom plate. The light-emitting element is electrically connected to the circuit board. The inner photographing element is electrically connected to the circuit board. The outer photographing element is electrically connected to the circuit board.

Abstract: A method for stratifying severity of asthma of a patient initially comprises receiving acoustic data corresponding to sounds of the patient from an acoustic sensor and identifying, by a processor, at least one cough sound in the acoustic data. With or without the patient being present, the method further involves determining, by operation of the processor, one or more overall cough sound feature values of the at least one cough sound for each of one or more characteristic features. The overall cough sound feature values are then applied to a classifier that is implemented by the processor and which has been pre-trained with a training set of characteristic feature values from a population of asthmatic and non-asthmatic subjects. The method then involves monitoring an output from the pre-trained classifier to deem the patient cough sound as indicating one of a number of degrees of severity of asthma.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing optimized breathing therapy. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform optimized breathing therapy using at least one of interruption score generation machine learning models, observed inspiration-expiration pattern, expected inspiration-expiration patterns, expected musical patterns, and inferred musical patterns.

Abstract: Provided herein are systems, devices and methods for monitoring the progression of, determining and/or assessing brain related conditions in a subject based on pupil light responses (PLRs) to focal central and peripheral chromatic light stimuli, in particular, by classifying the PLR based on one or more PLR parameter values, wherein the classifying allows monitoring the progression of, determining and/or assessing the brain related condition.

Abstract: In implementations of systems for determining a similarity of sequences of glucose values, a computing device implements a similarity system to receive input data describing a sequence of user glucose values measured by a continuous glucose monitoring (CGM) system. The similarity system computes similarity scores for a plurality of sequences of glucose values by comparing each glucose values included in the sequence of user glucose values with ever glucose value included in each sequence of the plurality of sequences. A particular sequence of glucose values that is associated with a highest similarity score is identified. The similarity system determines an externality associated with the particular sequence. The similarity system generates an indication of the externality for display in a user interface.

Abstract: A blood pressure prediction method includes performing data fragment division on the pulse wave; generating an input data tensor according to a total fragment number and the pulse wave data; performing multilayer convolution and pooling calculation on the input data tensor by using a blood pressure CNN to generate a feature data tensor; generating an input data matrix according to the feature data tensor; performing feature data regression calculation on the input data matrix by using a blood pressure ANN to generate a blood pressure regression data matrix; when a prediction mode identifier is a mean prediction identifier, performing mean diastolic pressure data calculation and mean systolic pressure data calculation to generate mean diastolic pressure data and mean systolic pressure data; or, when the prediction mode identifier is a dynamic prediction identifier, extracting diastolic and systolic pressure data to generate a predicted blood pressure data sequence.

Abstract: A bruxism training device is disclosed that is capable of detecting bruxism events (e.g., jaw clenching and teeth grinding) via external electromyography (EMG). The training device is shaped to be easily placed in a proper location and proper orientation over a masseter muscle of a user. A locator region is provided to facilitate easy locating of a reference electrode over the gonial angle of the mandible, while an alignment edge of the training device is provided to facilitate easy locating of end electrodes adjacent an end of the masseter muscle coupled to the mandible. With the locator region and alignment edge in place, an array of mid electrodes is automatically positioned over a bulk of the masseter muscle, allowing useful EMG measurement to be acquired of masseter activation.