Systems and methods for assessing a cardiac arrhythmia risk of a patient, such as a risk for developing atrial fibrillation, are disclosed. An exemplary medical-device system includes an arrhythmia predictor circuit configured to receive physiologic information of a patient, and in an absence of atrial tachyarrhythmia in the patient, determine a risk of the patient developing future atrial tachyarrhythmia using the physiologic information. In accordance with the arrhythmia risk indication, the system can generate an alert, or initiate more aggressive monitoring of a patient identified as having a high atrial tachyarrhythmia risk.

The present invention generally relates to an emotion recognition and notification system comprises an input unit includes a camera for capturing a facial image of a user's face; a pre-processing unit to remove noise and enhance the details of the captured facial image; a face detection unit to detect a face from the captured facial image; a features extraction unit to extract a set of image features from detected face from the captured facial image; a central processing unit equipped with a two channel facial expression recognition network based on CNN and LSTM to recognize an emotion of a user upon comparing the set of image features from a pre-stored image features; and a control unit equipped with a communication module to alert a registered user about a recognized emotion.

A tissue oximetry device utilizes at least three or at least four different wavelengths of light for collection of reflectance data where the different wavelengths are longer than 730 nanometers. The three or four wavelengths are utilized to generate a range of reflectance data suited for accurate determination of oxygenated hemoglobin and deoxygenated hemoglobin concentrations. The relatively long wavelengths decrease optical interference from certain dyes, particularly methylene blue and PVPI, which may be present on tissue being analyzed for viability and further enhance the generation of accurate reflectance data. The wavelengths are 760 nanometers, 810 nanometers, and 850 nanometers, or 760 nanometers, 810 nanometers, 850 nanometers, and 900 nanometers.

A method for calibrating detectors of a self-contained, tissue oximetry device includes emitting light from a light source into a tissue phantom, detecting in a plurality of detectors the light emitted from the light source, subsequent to reflection from the tissue phantom, and generating a set of detector responses by the plurality of detectors based on detecting the light emitted from the light source. The method further includes determining a set of differences between the set of detector responses and a reflectance curve for the tissue phantom, and generating a set of calibration functions based on the set of differences. Each calibration function in the set of calibration functions is associated with a unique, light source-detector pair. The method further includes storing the set of calibration function in a memory of the self-contained, tissue oximetry device.

An evaluation system including a hardware system for collecting real-time data for evaluating sleeping comfort performance of a bedding system is disclosed. The hardware system includes a thermal and moisture comfort measurement system, a thermal and moisture comfort control system, a biomechanical comfort control system, and a biomechanical comfort measurement system. The evaluation system also includes a computational system having a processor and a tactile database, and a portable device. The computational system is configured to receive and process the real-time data from the hardware system, and is communicatively connected to the portable device for transmitting real-time data for evaluating the bedding system and adjusting the hardware system. A mobile application executable on the portable device is configured to collect subjective opinion of the sleeper using questionnaires, and the processor is configured to perform combined analysis of the subjective opinion and the real-time data of the bedding system.

A method for determining oxygen saturation includes emitting light from sources into tissue; detecting the light by detectors subsequent to reflection; and generating reflectance data based on detecting the light. The method includes determining a first subset of simulated reflectance curves from a set of simulated reflectance curves stored in a tissue oximetry device for a coarse grid; and fitting the reflectance data points to the first subset of simulated reflectance curves to determine a closest fitting one of the simulated reflectance curves. The method includes determining a second subset of simulated reflectance curves for a fine grid based on the closest fitting one of the simulated reflectance curves; determining a peak of absorption and reflection coefficients from the fine grid; and determining an absorption and a reflectance coefficient for the reflectance data points by performing a weighted average of the absorption coefficients and reflection coefficients from the peak.

This inflatable balloon includes a balloon body, an inflation opening for the introduction of a fluid into the balloon body so as to inflate it under pressure, and at least one device for measuring a biological quantity of cavity tissues and/or of biological fluids present in this cavity. The measuring device includes an external sensor attached on an external face of the wall of the balloon body and adapted to supply an electrical measurement signal sensitive to the measured biological quantity, and an internal module located inside the balloon body and including a processing device adapted to process the electrical measurement signal in order to provide at least one measurement of the biological quantity.

The present disclosure relates to the field of medicine and discloses a medical therapeutic device for monitoring and treating medical condition of patients. The device comprises an input unit, a plurality of sensors, a control unit, a waveform generator unit, and a coupling means. The input unit receives at least one input from a user. The sensors monitor a plurality of predetermined parameters associated with the health of a patient generate detection signals based on the monitored parameters. The control unit selects a program based on the input and the detection signals. The waveform generator unit generates a therapeutic signal of pre-determined values of at least one of voltage, current, and frequency based on the selected program for facilitating treatment of medical condition corresponding to the selected program.

Embodiments provide for methods, systems, apparatus and computer readable media for calibrating an analyte sensor upon insertion into tissue of a subject based at least in part on parameters obtained from another analyte sensor already calibrated and previously inserted into the tissue of the subject. As an example, a method may include predicting a background current associated with the newly inserted sensor, subtracting the background current from a current measured by the newly inserted sensor, and converting the subtracted current to a glucose value, the converting based at least in part on the parameters obtained from the previously inserted analyte sensor. In this way, the newly inserted sensor may be calibrated without relying on actual blood-based analyte measurements, and accuracy and sensitivity of the newly inserted sensor may be improved.

Provided is a paracentesis assistance system that identifies the type of biological tissue. The paracentesis assistance system (10) comprises a measurement device that applies high-frequency waves to at least two electrodes (31 and 32) of an electrode needle (3) inserted into a biological tissue (9), and repeatedly measures the electrical impedance of the biological tissue (9) where the electrode (31) is located, the electrodes being arranged at the tip of the electrode needle in a longitudinal direction; and an identification device (2) that identifies the type of biological tissue (9) based on the temporal change in the repeatedly measured electrical impedance.