An apparatus for estimating bio-information is provided. The apparatus for estimating bio-information according to an embodiment includes: an ultrasonic sensor configured to acquire a bio-signal from an object; and a processor configured to detect peaks from the bio-signal, and to determine false detection of a peak, among the detected peaks, by using at least one of a time interval between a current peak and an immediately preceding peak, amplitudes of the current peak and the immediately preceding peak, a shape of a waveform on a left region and a right region of the peak, and an occurrence position of the peak.

A facility for assessing an ultrasound image captured from a patient with a particular depth setting is described. The facility subjects the received ultrasound image to at least one neural network to produce, for each neural network, an inference. On the basis of the produced inferences, the facility determines whether the depth setting at which the ultrasound image was captured was optimal.

Arrangements described herein relate to a headset. The headset includes a device. The device includes a transducer configured to interact with a head of a subject. The headset further includes a manually-operated registration system configured to delineate a workspace of the transducer at the head of the subject.

An apparatus for estimating bio-information is provided. The apparatus for estimating bio-information by using an ultrasonic signal according to an embodiment of the present disclosure includes: an ultrasonic sensor configured to acquire an ultrasonic signal from an object; and a processor configured to detect peaks from the acquired ultrasonic signal, and to determine false detection of a peak, among the detected peaks, by using at least one of amplitudes of the detected peaks or a left waveform shape and a right waveform shape of the peak.

According to one embodiment, an ultrasonic diagnostic apparatus includes an ultrasonic probe and processing circuitry. The ultrasonic probe is configured to transmit and receive an ultrasonic wave. The processing circuitry is configured to acquire an optical image of a subject housed in a housing unit containing a medium. The processing circuitry is configured to estimate state information of the subject from the optical image. The processing circuitry is configured to set a scan condition of ultrasonic scanning for the subject based on the state information.

A system may include an ultrasound probe and a controller unit configured to communicate with the ultrasound probe. The controller unit may be further configured to transmit ultrasound signals using the ultrasound probe toward an area of interest in a patient's body, wherein the ultrasound signals include a fundamental frequency signal and at least one harmonic frequency signal; receive echo signals from the area of interest based on the transmitted ultrasound signals; obtain a fundamental frequency echo signal and at least one harmonic frequency echo signal from the received echo signals; and generate a visual representation of the area of interest based on the obtained fundamental frequency echo signal and the obtained at least one harmonic frequency echo signal.

A system for acquiring physiological data from a patient, the system comprising: a smartphone configured for wireless communication; an adapter for releasably mounting to the smartphone; a sensor module for releasably mounting to the adapter, the sensor module comprising at least one sensor for acquiring physiological data from the patient; and a software app running on the smartphone for (i) wirelessly controlling operation of the sensor module and wirelessly receiving the physiological data from the sensor module, and (ii) wirelessly communicating with a remote location.

A facility identifies anatomical objects visualized by a medical imaging image. The facility applies two machine learning models to the image: a first trained to predict a view probability vector that, for each of a list of views, attributes a probability that the image was captured from the view, and a second trained to predict an object probability vector that, for each of a list of anatomical objects, attributes a probability that the object is visualized by the image. For each object, the facility: (1) accesses a list of views in which the object is permitted; (2) multiplies the predicted probability that the object is visualized by the image by the sum of the predicted probabilities that the accessed image was captured from views in which the object is permitted; and (3) where the resulting probability exceeds a threshold, determines that the object is visualized by the accessed image.

Aspects of the technology described herein relate to techniques for guiding an operator to use an ultrasound device. Thereby, operators with little or no experience operating ultrasound devices may capture medically relevant ultrasound images and/or interpret the contents of the obtained ultrasound images. For example, some of the techniques disclosed herein may be used to identify a particular anatomical view of a subject to image with an ultrasound device, guide an operator of the ultrasound device to capture an ultrasound image of the subject that contains the particular anatomical view, and/or analyze the captured ultrasound image to identify medical information about the subject.

A system and method for converting a commercial diagnostic ultrasound transducer into a medical training device that is used for simulated ultrasound training; or a system and method for adding a training option to a standard ultrasound diagnostic system by attaching a motion sensor accessory to the commercial diagnostic ultrasound transducer.