The invention provides an ultrasound system including an ultrasound transducer array and a processor. The ultrasound transducer array comprises a plurality of transducer elements adapted to conform with a subjects body. Further, at least two ultrasound transducer elements of the plurality of transducer elements are adapted to acquire a plurality of ultrasound signals from a region of interest at different orientations relative to said region of interest. The processor is adapted to receive ultrasound signals acquired by the ultrasound transducer array. The processor is further adapted to partition the plurality of ultrasound signals according to a signal depth and, for each ultrasound signal partition, calculate a Doppler power. For each ultrasound signal, the processor identifies a depth of a fetal heartbeat based on the Doppler power of each ultrasound signal partition and identifies a fetal heart region based on the identified fetal heartbeat and a location of the at least two ultrasound transducers.

A method for measuring a high-accuracy and real-time heart rate based on a continuous-wave radar is provided. The method includes receiving an in-phase (I) signal and a quadrature (Q) signal for a receive signal received through the continuous-wave radar, selecting any one signal by comparing magnitudes of the received I signal and the received Q signal, performing frequency transform of each of bases respectively having predetermined phases with respect to the any one selected signal, and determining a heart rate based on a magnitude response of each of the bases by the frequency transform.

A system for determining peripheral artery disease and method of use for determining the presence or absence of peripheral vascular disease and the severity of the disease in particular vascular segments. The System for determining peripheral artery disease and method of use includes a continuous wave Doppler transceiver which generates a digitized version of quadrature detected stereo audio and is coupleable to a waveform converter and processor. The waveform converter and processor provides filtering, time domain to frequency domain conversion, gain control, and statistical processing of the converted Doppler Stereo audio and is operationally coupled to a display for presenting results to a technician.

Provided is an ultrasound diagnostic apparatus including an ultrasound probe, an imaging section that images the subject on the basis of a reception signal output from the ultrasound probe to generate an ultrasound image, an image analysis section that performs image analysis using the ultrasound image, a movement detection sensor that detects and outputs a movement of the ultrasound probe as a detection signal, a movement amount calculation section that calculates a movement amount of the ultrasound probe in a case where an imaging inspection portion that is currently being imaged among a plurality of inspection portions of the subject is inspected, using the detection signal output from the movement detection sensor, and a portion discrimination section that discriminates the imaging inspection portion on the basis of an image analysis result in the image analysis section and the movement amount calculated by the movement amount calculation section.

A method for tracking an interventional medical device in a patient includes interleaving, by an imaging probe external to the patient, a pulse sequence of imaging beams and tracking beams to obtain an interleaved pulse sequence. The method also includes transmitting, from the imaging probe to the interventional medical device in the patient, the interleaved pulse sequence. The method further includes determining, based on a response to the tracking beams received from a sensor on the interventional medical device, a location of the sensor in the patient.

Methods, systems, and coaptation measurement devices as described herein include an elongate sensor body at the end of a proximal connecting member, and a plurality of sensors in an array across a face of the sensor body, wherein each sensor of the plurality of sensors is configured to detect if a portion of a heart valve is in contact with the sensor.

Systems and methods are disclosed for an ultrasound system. In various embodiments, a system is configured to receive echo data corresponding to a detection of an echo of a pulse signal, generate a set of transformations based on the echo data, and generate a set of point estimates for a frequency dependent filtering coefficient of a spectral response. The system is further configured to extract a set of attenuation coefficients based on the set of point estimates for the frequency dependent filtering coefficient and generate image data for the material of interest based on the set of attenuation coefficients.

An apparatus includes a processing device in operative communication with an ultrasound device. The processing device is configured to: receive a user selection of a lung imaging preset option and a user-selected imaging depth for the ultrasound device; define a threshold imaging depth based on a shallow lung imaging mode and a deep lung imaging mode (the threshold imaging depth is between approximately 4 cm and 8 cm); after receiving the user selection of the user-selected imaging depth, compare the user-selected imaging depth with the threshold imaging depth; and automatically configure the ultrasound device to switch between the shallow lung imaging mode and deep lung imaging mode, depending upon a result of the comparison of the user-selected imaging depth with the threshold imaging depth.

An apparatus includes a processing device in operative communication with an ultrasound device. The processing device is configured to: receive a user selection of a lung imaging preset option and a user-selected imaging depth for the ultrasound device; define a threshold imaging depth based on a shallow lung imaging mode and a deep lung imaging mode (the threshold imaging depth is between approximately 4 cm and 8 cm); after receiving the user selection of the user-selected imaging depth, compare the user-selected imaging depth with the threshold imaging depth; and automatically configure the ultrasound device to switch between the shallow lung imaging mode and deep lung imaging mode, depending upon a result of the comparison of the user-selected imaging depth with the threshold imaging depth.

A thickness calculation method includes: a signal acquisition step of acquiring a reception signal by transmitting an ultrasonic wave from an ultrasonic probe into a living body and receiving the ultrasonic wave reflected in the living body by the ultrasonic probe; a boundary candidate extraction step of extracting a plurality of boundary candidates from the reception signal; a feature information acquisition step of acquiring feature information based on a change in the reception signal; a state determination step of inputting the feature information and the boundary candidate to a machine learning model that receives the feature information and the boundary candidate and outputs boundary information indicating whether the boundary candidate is a boundary of a tissue in the living body, and acquiring the boundary information; and a thickness calculation step of calculating a thickness of the tissue based on the boundary information.