The present disclosure pertains to a system configured to detect slow waves in a subject during a sleep session. The system generates output signals conveying information related to brain activity of the subject. The system is configured to detect individual sleep stages of the subject, the individual sleep stages including a deep sleep stage; and, responsive to detecting the deep sleep stage, generate a harmonic representation of the output signals for a period of time during the sleep session that includes the deep sleep stage; identify two or more points of significance on the harmonic representation of the output signals; and analyze a shape of the harmonic representation of the output signals around the two or more points of significance to determine whether the shape of the harmonic representation of the output signals around the two or more points of significance corresponds to a shape of a slow wave.

A method and system for extracting important signal information is disclosed. The method examines a group of signals obtained from testing of a patient's nervous system and finds a signal area of interest. Once a cluster of signals that all have the area of interest is found—the system concludes that the area of interest is located and validated. Signals that are not within the cluster are rejected and the signals within the cluster are signal-averaged to yield a signal-averaged waveform. The signal averaged waveform represents the results of the test.

Embodiments of devices and methods for evaluating tissue are disclosed. In one embodiment, a method for measuring a characteristic of a tissue may include passing a current through the tissue, measuring a signal corresponding to the voltage resulting from passing the current through the tissue, analyzing current passed through the tissue and resulting voltage to determine the electrical characteristics of the tissue; and analyzing the electrical characteristics of the tissue to determine a status of the tissue. Disposable sensors are disclosed.

An electronic device according to one aspect includes a blood flow data acquisition unit configured to acquire information related to blood flowing inside a living body as blood flow data based on Doppler shift, a power spectrum calculator configured to calculate a power spectrum of the blood flow data based on the blood flow data, and an outline index calculator configured to calculate an outline index from the power spectrum. An electronic device according to one aspect further includes an estimator configured to estimate viscosity of the blood based on the outline index, and the estimator is configured to display an estimation result of the viscosity of the blood on a display.

A device for measuring brain oxygen level of a subject, including a probe (210) and a detecting means (220), which are respectively coupled to a processor (230). According to the example, the probe (210) includes three light sources (215a, 215b, 215c) that simultaneously emit the first, second, and third NIR wavelengths across the brain of the subject. The first NIR wavelength is the isosbestic wavelength for oxy-hemoglobin (HbO2) and deoxy-hemoglobin (Hb), the second NIR wavelength is shorter than the first NIR wavelength, and the third NIR wavelength is longer than the first NIR wavelength. The detecting means (220) includes a first, second and third detectors (221, 222, 223) for respectively detecting the NIR intensities of the first, second and third NIR wavelengths traveled across the brain. The processor (230) is configured to determine blood oxygen level based on the measured NIR intensities of the first, second and third NIR wavelengths by use of build-in algorithm derived from Beer-Lambert Law. And method of detecting brain hematoma of a subject by use of the present device.

An organ evaluation device, system, or method is configured to receive electrophysiological data from a patient or model organism and integrates the data in a computational backend environment with anatomical data input from an external source, spanning a plurality of file formats, where the input parameters are combined to visualize and output current density and/or current flow activity having ampere-based units displayed in the spatial context of heart or other organ anatomy.

The present invention relates to a system and methods generally aimed at surgery. More particularly, the present invention is directed at a system and related methods for performing surgical procedures and assessments involving the use of neurophysiology.

Separating a compound action potential from an artefact in a neural recording. A memory stores a set of basis functions comprising at least one compound action potential basis function and at least one artefact basis function. A neural recording of electrical activity in neural tissue is decomposed by determining at least one of a compound action potential and an artefact from the set of basis functions. An estimate is output of at least one of a compound action potential and an artefact.

A system for monitoring one or more physiological parameters includes a plurality of patches positionable at a plurality of locations on a surface of a body, wherein the plurality of patches are electrically isolated from each other, wherein a first patch of the plurality of patches includes a transmitter configured to inject an electrical signal into the body at a first location on the surface of the body, and wherein a second patch of the plurality of patches includes a sensor configured to detect a bio-impedance signal at a second location on the surface of the body that is spaced from the first location, and wherein the bio-impedance signal is induced within the body by the electrical signal injected from the first patch which is electrically isolated from the second patch.

A wearable device includes: a biological information acquisition device that acquires biological information of a subject; a biological information storage device that stores biological information; an abnormality determination device that determines whether or not there is an abnormality and an abnormality level in the biological information of the subject; a notification destination determination device that, if an abnormality has occurred in the biological information of the subject, acquires notification destination information that corresponds to the abnormality level that was determined by the abnormality determination device; a notification destination database in which notification destination information for use when an abnormality has occurred in the biological information of the subject is stored for each abnormality level in advance; and a notification device that transmits information that includes the abnormality level and the determination result of the abnormality determination device to a notification destination device indicated by the information.