An ultrasound apparatus according to the present embodiments includes a receiving unit and a probe controlling unit. The receiving unit receives settings in relation to the aperture of the ultrasound probe and the region of interest of the subject with a contrast agent injected. The probe controlling unit controls the ultrasound probe based on the settings received by the receiving unit in such a manner as to transmit an ultrasound wave from the vibrator arranged in the aperture to the region of interest.

An ultrasound diagnostic apparatus performs transmission and reception of ultrasonic waves for forming focal points used to set sound velocities at predetermined timing such that sound velocities having been set for all of respective segment regions established by dividing a subject are all reset every predetermined number of frames. Owing to this configuration, it becomes possible for the ultrasound diagnostic apparatus to suitably reset sound velocities of ultrasonic waves in the subject and also reduce the amount of calculation for resetting sound velocities.

An ultrasonic probe includes: an ultrasonic element group in which first ultrasonic element lines are arranged along a second direction crossing a first direction, a plurality of ultrasonic elements being arranged along the first direction in each of the first ultrasonic element lines; and a control unit for driving the ultrasonic element group. The control unit moves a focal point, which is a place through which ultrasonic waves emitted from the plurality of ultrasonic elements pass at the same time, along a virtual plane.

The embodiments of the present disclosure disclose an ultrasound imaging method and system, the method may include transmitting a plurality of plane wave ultrasound beams to a scan target and acquiring corresponding plane wave echo signals; transmitting focused ultrasound beams to the scan target and acquiring corresponding focused beam echo signals; acquiring a plurality of velocity components of a target point in the scan target using the plane wave echo signals, and acquiring velocity vectors of the target point according to the plurality of velocity components; acquiring an ultrasound image of the scan target using the focused beam echo signals; and displaying the velocity vector and the ultrasound image.

This disclosure relates generally to bio-signal detection, and more particularly to method and system for non-contact bio-signal detection using ultrasound signals. In an embodiment, the method includes acquiring an in-phase I(t) baseband signal and a quadrature Q(t) baseband signal associated with an ultrasound signal directed from the sensor assembly towards the target. Magnitude and phase signals are calculated from the in-phase and quadrature baseband signals, and are filtered by passing through a band pass filter associated with a predefined frequency range to obtain filtered magnitude and phase signals. Fast Fourier Transformation (FFT) of the filtered magnitude and phase signals is performed to identify frequency of dominant peaks of spectrum of the magnitude and phase signals in the ultrasound signal. Value of the bio-signal associated with the target is determined based on weighted values of the frequency of the dominant peaks of the magnitude and phase signals.

A robotic cleaning appliance includes a housing, surface treatment item, surface type detection sensor, and processor. The sensor emits sonic signals toward a surface being traversed and receives corresponding returned signals from the surface. The returned signals are used for surface type detection and include directly reflected primary returned signals and multi-path reflected secondary returned signals which return at a later time than the primary returned signals. The processor selects a window of time after transmission of a sonic signal such that the returned signals in the window comprise at least a portion of the secondary returned signals, wherein the window is related to round trip time-of-flight of the returned signals; processes the returned signals falling in the window to achieve a reflectivity metric; compares the reflectivity metric to a stored value; and based on the comparison, determines which surface type of a plurality of surface types has been detected.

A control unit cyclically sets a first transmission/reception condition for a close range and a second transmission/reception condition for a long range. A synthesizing unit generates an added frame sequence and an edge-enhanced frame sequence from a reception frame sequence, and generates a synthesized frame sequence from the added frame sequence and the edge-enhanced frame sequence. The first transmission/reception condition includes a first transmission frequency and a first transmission depth of focus. The second transmission/reception condition includes a second transmission frequency that is lower than the first transmission frequency and a second transmission depth of focus that is greater than the first transmission depth of focus.

A signal processing device according to the present invention is a signal processing device that processes data of a detected ultrasound waveform representing a temporal change in the intensity of ultrasound generated at a measurement position in a specimen and includes: a comparison unit that compares a predetermined standard ultrasound waveform and the detected ultrasound waveform at the measurement position and that calculates a degree of similarity between the predetermined standard ultrasound waveform and the detected ultrasound waveform; and a discrimination unit for discriminating whether or not the measurement position corresponds to a predetermined examination subject on the basis of the degree of similarity.

The invention relates to a method for adaptive beamforming of ultrasound signals, the method comprising the steps of (a) Receiving time-aligned RF signals acquired by multiple ultrasound transducer elements in response to an ultrasound transmission; (b) Determining content-adaptive apodization weights for beamforming the time-aligned RF signals by applying a trained artificial neural network (16) to the time-aligned RF signals; and (c) Applying the content-adaptive apodization weights to the time-aligned RF signals to calculate a beamformed output signal. The invention also relates to a method for training an artificial neural network (16) useful in adaptive beamforming of ultrasound signals, and a related computer program and system.

An ultrasonic imaging system and an imaging method. The imaging method comprises: transmitting a divergent ultrasonic beam to a scanning object, and scanning the scanning object with the divergent ultrasonic beam (S11); a self-scanning object receiving an echo of the divergent ultrasonic beam, and obtaining divergent ultrasonic echo signals by means of beam synthesis (S12); obtaining blood flow velocity vector information of the scanning object according to the divergent ultrasonic echo signals (S13); and displaying the blood flow velocity vector information of the scanning object (S14). Using a divergent ultrasonic beam to perform blood flow imaging can ensure that there is a sufficiently large scanning area for covering a scanning object, thereby achieving ultrasonic blood flow imaging at a high frame rate.