The present invention relates to a method for analyzing ultrasound data obtained by passing through multiple layers, comprising the steps of: reducing noise in the ultrasound data; identifying an interface between layers by identifying the peak of the ultrasound data after removal of the noise; and differentiating each layer by identifying an attenuation coefficient of the ultrasound data after removal of the noise.

A variety of medical and non-medical devices are exploited by users to address a wide range of conditions. However, in the vast majority of instances, the device has a limited number of options with respect to its fit for the user and its performance. Further, the determination of target performance and fit are established on a qualitative basis rather than a quantitative basis. In many instances, these combinations lead to low user acceptance of the device due to the resulting performance and fit issues. Accordingly, it would enhance performance and user acceptance if a quantitative determination provided a recommended type where options exist, and this determination provided the basis of a custom designed device to the user's specific anatomical and/or performance requirements.

The present disclosure provides using ultrasound technology and artificial intelligence to enhance MSR assessment by making the assessment more objective, reproducible, and recordable to allow a more precise and/or personalized approach to the medical practice of individual patients via using multiple ultrasound functions and artificial intelligence to improve the accuracy and consistency of assessing reflexes and allowing MSR data to be combined with other patient medical information for improved diagnosis and management of a patient's condition.

Methods for treating skin and subcutaneous tissue with energy such as ultrasound energy are disclosed. In various embodiments, ultrasound energy is applied at a region of interest to affect tissue by cutting, ablating, micro-ablating, coagulating, or otherwise affecting the subcutaneous tissue to conduct numerous procedures that are traditionally done invasively in a non-invasive manner. Methods of lifting sagging tissue are described.

Provided are method, apparatus and device for measuring a thickness of a subcutaneous tissue, and a computer-readable storage medium. The method includes: emitting ultrasonic detection waves inwards from a skin surface, and acquiring ultrasonic echo signals of the ultrasonic detection waves; determining, according to ultrasonic parameter values of the ultrasonic echo signals and a characteristic parameter threshold of a subcutaneous tissue, the moment the ultrasonic echo signals from the boundary of the subcutaneous tissue are received; and calculating a thickness of the subcutaneous tissue according to the moment the ultrasonic echo signals from the boundary of the subcutaneous tissue are received, thereby enabling a precise measure of the thickness of the subcutaneous tissue.

A system includes a processor and, a computer-readable tangible storage device storing program instructions for execution by the processor. The program instructions include instructions for receiving ultrasonic derived data comprising an ultrasound image, representing a region of interest, and radio frequency “(RF”) data associated with the ultrasound image, and instructions for analyzing the RF data to identify at least one feature associated with a region of interest, including either or both of a feature representing a two-dimensional spectrum feature and a feature based on a cepstrum determined from the RF data. The program instructions further include instructions for classifying the region of interest as one of a plurality of anatomical classes from the identified at least one feature and causing a display to display the anatomical class.

A system for calibration-free cuff-less evaluation of blood pressure is proposed. The system includes an ultrasound-based arterial compliance probes and a controller unit connected to the said probe. The ultrasound transducers measure the change in arterial dimensions, pulse wave velocity, and other character traits of an arterial segment over continuous cardiac cycle, which is then used to evaluate blood pressure parameters without any calibration procedure using dedicated mathematical models. The pressure sensor/force sensor/biopotential transducers/accelerometric sensors measure a pressure acting on a skin surface at a measurement site, an internal arterial transmural pressure level, an applied pressure or a hold-down pressure on the skin surface or an arterial site, biopotential and/or plethysmograph signal, arterial vibrations acting on the measurement site as a function of the arterial pressure and the mechanical characteristics and/or a function of the applied/hold-down pressure and/or function of external factors.

An ultrasound imaging apparatus includes: a probe configured to transmit ultrasound waves and detect echo signals; a display; and at least one processor configured to generate an ultrasound image based on the echo signals, wherein the at least one processor is further configured to obtain a three-dimensional (3D) medical image of a uterus, determine a target position for embryo transfer based on the 3D medical image, obtain a real-time ultrasound image of the uterus, identify the target position in the real-time ultrasound image, and control the display to display the real-time ultrasound image and information about the target position.

Methods for treating skin and subcutaneous tissue with energy such as ultrasound energy are disclosed. In various embodiments, ultrasound energy is applied at a region of interest to affect tissue by cutting, ablating, micro-ablating, coagulating, or otherwise affecting the subcutaneous tissue to conduct numerous procedures that are traditionally done invasively in a non-invasive manner. Methods of lifting sagging tissue are described.

A method for diagnosing a joint condition includes in one embodiment: creating a 3d model of the patient specific bone; registering the patient's bone with the bone model; tracking the motion of the patient specific bone through a range of motion; selecting a database including empirical mathematical descriptions of the motion of a plurality actual bones through ranges of motion; and comparing the motion of the patient specific bone to the database.