There is provided a biological signal processing apparatus. The biological signal processing apparatus includes a biological signal extraction unit (2) configured to extract a biological signal from an electrocardiographic waveform measured by an electrocardiograph (1), an averaging processing unit (3) configured to calculate averaged data using time-series data of the biological signals extracted by the biological signal extraction unit (2), an abnormal value determination unit (4) configured to determine, for each data, whether the data of the biological signal extracted by the biological signal extraction unit (2) is appropriate, based on the averaged data calculated using the data of the biological signals that have occurred before the data, and an abnormal value processing unit (5) configured to perform one of deletion and interpolation of the data of the biological signal determined to be inappropriate by the abnormal value determination unit (4).

Disclosed is a ultrasonic diagnostic apparatus an a method of controlling the same, capable of allowing a sonographer to take an appropriate rest by measuring the usage time and the angle of bend of the probe and assigning weights to the usage time and the angle of bend of the probe such that the wrist fatigue of a sonographer is determined, and warning the sonographer about the determined wrist fatigue, the ultrasonic diagnostic apparatus including a probe configured to transmit an ultrasonic signal to a target object and receive a ultrasonic signal reflected from the target object; a storage configured to store a weight that is determined on the basis of a type of the probe and an application of the probe; and a controller configured to determine a wrist fatigue of a user who uses the probe on the basis of the stored weight and a usage time of the probe.

A device, system and method for monitoring cubital tunnel syndrome (CuTS). The device comprises a body configured to be worn by a user, sensors, a processor, a vibration mechanism, and a power source. The sensors monitor a position of the user's hand to prevent CuTS. The processor of the device is configured to determine if the user's hand is in a CuTS position and the processor is configured to generate an alert signal to alert the user to the CuTS position.

Systems and methods are described for monitoring, treating, and preventing a repetitive stress injury, arthritis or other medical condition. A system embodiment includes, but is not limited to, a deformable substrate configured to interface with a skin surface; a sensor assembly coupled to the deformable substrate, the sensor assembly including a motion sensor and a physiological sensor, the sensor assembly configured to generate one or more sense signals based on detection of a movement of a body portion by the motion sensor and a physiological parameter of the body portion by the physiological sensor; a processor operably coupled to the sensor assembly and configured to receive the one or more sense signals; and an effector operably coupled to the processor and configured to affect the body portion responsive to control by the processor.

A unified coil assembly for magnetic resonance imaging is disclosed. The coil assembly includes an RF coil element and a shim coil array with a shim coil element. The shim coil element is physically separated or partially separated from the RF coil element. The shim coil element includes a DC current loop having a DC power supply connection to allow DC current to generate a local BO magnetic field. The unified coil array assembly is configured to simultaneously provide an RF mode for at least one of transmit or receive and a direct current mode to generate a local B0 magnetic field for B0 shimming Larger number of shim coils relative to the RF coil element provides superior shimming performance. The mutual inductance between the shim coil element and the RF coil element is minimized by proposed geometrical decoupling methods in order to minimize the RF interaction between the two.

An apparatus for performing a remote test of range of motion of a person operating a user device includes a transceiver, a processor, and a display. The transceiver is configured to transmit a link to the user device and to receive motion data from the user device. The processor is configured to calculate in real time, based on the motion data, the position of the user device to enable real-time display to a test provider of the performance of the test and to determine in real time the quality of the test. The display is configured to show in real time a continuous indication of the performance of the test and quality results of the test. A method for performing a remote test of range of motion of a person operating a user device is also described and claimed.

A light detection unit includes a light emitter that emits light toward an object of interest, a light receiver that receives light from the object of interest, and a light blocking member that performs light blocking at least above the light receiver. The light blocking member includes a first surface that is provided between the light emitter and the light receiver and prevents direct light from the light emitter from entering the light receiver and a second surface and a third surface that are provided along a direction that intersects the first surface and prevent light from entering the light receiver. Further, the first surface is made of a first material, and the second surface and the third surface are made of a second material different from the first material.

A device, system and method for monitoring cubital tunnel syndrome (CuTS). The device comprises a body configured to be worn by a user, sensors, a processor, a vibration mechanism, and a power source. The sensors monitor a position of the user's hand to prevent CuTS. The processor of the device is configured to determine if the user's hand is in a CuTS position and the processor is configured to generate an alert signal to alert the user to the CuTS position.

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains a plurality of medical image groups in which respective motions of a part inside a subject have been photographed in time series and executes certain processing on the acquired medical image groups. The processing circuitry analyzes the motions in the respective medical image groups. The processing circuitry generates a medical image in which the motions in the respective medical image groups substantially match with each other based on the analyzed motions.

Methods for evaluating subjects having conditions associated with loss of muscle function (e.g., a motor neuron disease, a neuromuscular disease, or a myopathy) by measuring muscle function (e.g., muscle strength) are disclosed.