Abstract: A method for estimating an arrangement of electrodes obtains detection signals when an initial electrode array having a sufficient number of electrodes for detection of excitation wave arranged and arrayed in a plane is attached to biological tissue. The method uses a plurality of input data based on detection signals obtained in a plurality of second electrode arrays generated by eliminating a predetermined number of electrodes at random from the initial electrode array, and uses an image of excitation wave in a process of obtaining the detection signals by using the initial electrode array, as teacher data, obtaining a learned model by deep learning. The method selects a second electrode array corresponding to an analysis image that is best matched with the image of the teacher data, among a plurality of analysis images obtained by applying the plurality of input data to the learned model, as a selective electrode array.

Abstract: Disclosed are an ultrasound device and an ultrasound imaging method, including: controlling an ultrasound probe to perform transmission of ultrasound waves and reception of ultrasound echoes to obtain ultrasound echo signals that are used to generate an ultrasound image, wherein the ultrasound probe is guided into a patient's cavity body and in a contact state with a biological tissue that forms the cavity body; and after a first function key is triggered, at least controlling execution of a disengagement function. With the introduction of a first function key, the operation of moving away the ultrasound probe with a single keystroke can be completed by an operator, transitioning the ultrasound probe from a contact state to a non-contact state with the tissue.

Abstract: A method for estimating an arrangement of electrodes obtains detection signals when an initial electrode array having a sufficient number of electrodes for detection of excitation wave arranged and arrayed in a plane is attached to biological tissue. The method uses a plurality of input data based on detection signals obtained in a plurality of second electrode arrays generated by eliminating a predetermined number of electrodes at random from the initial electrode array, and uses an image of excitation wave in a process of obtaining the detection signals by using the initial electrode array, as teacher data, obtaining a learned model by deep learning. The method selects a second electrode array corresponding to an analysis image that is best matched with the image of the teacher data, among a plurality of analysis images obtained by applying the plurality of input data to the learned model, as a selective electrode array.