Abstract:
A computer-assisted needle insertion system and a computer-assisted needle insertion method are provided. The computer-assisted needle insertion method includes: obtaining a first machine learning (ML) model and a second ML model; obtaining a computed tomography (CT) image and a needle insertion path, generating a suggested needle insertion path according to the first ML model, the CT image, and the needle insertion path, and instructing a needle to approach a needle insertion point on a skin of a target, wherein the needle insertion point is located on the suggested needle insertion path; obtaining a breath signal of the target, and estimating whether a future breath state of the target is normal according to the second ML model and the breath signal; and outputting a suggested needle insertion period according to the breath signal in response to determining that the future breath state is normal.
Abstract:
A manufacturing process for electrode of neuromodulation probe includes the steps of: preparing a plurality of the manufacturing fixtures for electrode of neuromodulation probe; preparing a plurality of the manufacturing fixtures for electrode in a surrounding manner by having the first-layer frames to be externally disposed side by side with the bevels of the two neighboring first-layer frames close to each other, so that the second-layer frames, the plurality of electrodes and the plurality of wires are enclosed thereinside; placing a cylinder amid the plurality of manufacturing fixtures for electrode to have the plurality of wires to surround the cylinder; having a fluid plastic to surround the cylinder by filling all the spaces between the plurality of wires and the plurality of electrodes, and waiting the fluid plastic to cure; removing the plurality of first-layer frames and the plurality of second-layer frames; and, pulling off the cylinder.
Abstract:
A computer-assisted needle insertion method is provided. The computer-assisted needle insertion method includes the following steps. A first machine learning model and a second machine learning model are obtained. A computed tomography image and a needle insertion path are obtained, a suggested needle insertion path is generated according to the first machine learning model, the computed tomography image, and the needle insertion path, and the needle is instructed to approach a needle insertion point on a skin of a target. The needle insertion point is located on the suggested needle insertion path. A breath signal of the target is obtained, and whether a future breath state of the target is normal is estimated according to the second machine learning model and the breath signal. A suggested needle insertion period is output according to the breath signal in response to determining that the future breath state is normal.
Abstract:
A neuromodulation probe includes a body and at least one coil set. The body has a first axis and a length along the first axis. The at least one coil set includes at least one coil, and the at least one coil is formed by winding spirally a conductive wire plural times about a second axis inside the body or on an outer surface of the body. The second axis is parallel to the first axis. The at least one coil has two opposite wire ends for providing an electric current to flow in or out of the at least one coil.
Abstract:
An ultrasonic probe device includes a sealed housing, a spiral-track plate, a driving arm, an ultrasonic probe and a first shaft. The spiral-track plate, disposed inside the sealed housing, includes a pivotal hole and a spiral groove, in which the spiral groove is extended outward from a center of the spiral-track plate. The driving arm, adjacent to the spiral-track plate, includes a first slot and a rotational shaft hole. The ultrasonic probe includes a follower pillar, a detection side and a connection side opposing to the detection side. The follower pillar, connected with the connection side, penetrates through the first slot and enters the spiral groove. The spiral groove provides a planar motion track to the detection side of the ultrasonic probe. The first shaft orderly penetrates through the sealed housing, the pivotal hole of the spiral-track plate, and the rotational shaft hole of the driving arm.
Abstract:
A single chip includes an analog module, an ultrasound imaging module, a wireless network module, a switch circuit and a central processing unit (CPU). The ultrasound imaging module controls an ultrasound front end, and the wireless network module controls a radio-frequency (RF) front end. The CPU controls the switch circuit to electrically connect the analog module to the ultrasound imaging circuit or the wireless network module.
Abstract:
A computer-assisted needle insertion system and a computer-assisted needle insertion method are provided. The computer-assisted needle insertion method includes: obtaining a first machine learning (ML) model and a second ML model; obtaining a computed tomography (CT) image and a needle insertion path, generating a suggested needle insertion path according to the first ML model, the CT image, and the needle insertion path, and instructing a needle to approach a needle insertion point on a skin of a target, wherein the needle insertion point is located on the suggested needle insertion path; obtaining a breath signal of the target, and estimating whether a future breath state of the target is normal according to the second ML model and the breath signal; and outputting a suggested needle insertion period according to the breath signal in response to determining that the future breath state is normal.
Abstract:
Systems and methods for measuring flow velocities, including ultrasound systems, are provided. A Doppler angle between a direction of ultrasound signals and an axis of a flow may be estimated to improve the accuracy of the flow velocity estimation that is based on Doppler effects. A sensor may be mounted on or in an ultrasound probe to obtain a reference orientation of the ultrasound probe and an orientation of the ultrasound probe relative to the reference orientation when the ultrasound probe is moved to other positions. The Doppler angle may be estimated based on the orientation of the ultrasound probe.
Abstract:
A state assessment system, a diagnosis and treatment system and a method for operating the diagnosis and treatment system are disclosed. An oscillator model converts a physiological signal of a subject into a defined feature image. A classification model analyzes state information of the subject based on the feature image. An analysis model outputs a treatment suggestion for the subject based on the state information of the subject. An AR projection device projects acupoint positions of a human body onto the subject, for the subject to be treated based on the treatment suggestion.
Abstract:
A bladder urine volume monitoring system and a bladder urine volume monitoring method are provided. The bladder urine volume monitoring system includes at least one ultrasound patch, at least one muscle stimulation patch, and a control circuit. The ultrasound patch is configured to be attached to a surface of an organism to detect a urine volume in a bladder. The muscle stimulation patch is configured to be attached to the surface of the organism to stimulate a muscle of the bladder. The control circuit is coupled to the ultrasound patch and the muscle stimulation patch. The control circuit drives the ultrasound patch to detect the urine volume in the bladder in a first period. The control circuit drives the muscle stimulation patch to stimulate the muscle of the bladder in a second period.