US 2022/0370031 A1 · AUTOMATED SYSTEM AND METHOD OF MONITORING ANATOMICAL STRUCTURES

Abstract

Embodiments include a patch-type, ultrasound sensor system and method to monitor the function and motion of a patients anatomical structure, comprising processing at least one received ultrasound image using one or more analytical tools, including radon transformation, higher-order spectra techniques, and/or active contour models, to generate at least one processed ultrasound image; inputting the at least one processed ultrasound image into a deep learning Convolutional Neural Network to obtain an automatic classification result selected from two or more classes indicating the functional state of the anatomical structure. The patch-type, ultrasound sensor system can communicate via a wireless or wired connection. The monitoring can be at rest or during surgery or other procedure or whilst the subject is exposed to any physiological stressors as part of medical examinations, and can be adapted for use in monitoring the function of body structures including the heart, blood vessels, lungs or joints.

Claims27

Dependent claims

A system for automatically monitoring an anatomical structure of a subject, comprising:

at least one ultrasound patch attached to said subject, wherein said patch comprises one or more ultrasound sensors, communication system, and an electric board for ultrasound transmission and/or reception, wherein the ultrasound patch generates at least one ultrasound image in one or more modes selected from the group consisting of M-mode, 2D, 3D and Doppler ultrasound;
a server for processing the at least one ultrasound image using one or more analytical tools to generate at least one processed ultrasound image, wherein the one or more analytical tools comprise radon transformation, higher-order spectra techniques, and/or active contour models;
a storage medium configured to store instructions defining a deep learning CNN,
wherein the server executes the deep learning CNN to obtain an automatic classification result selected from two or more classes indicating the functional state of the anatomical structure;
and
an output to communicate the classification result to a user.

3 more elements

Dependencies are inferred from the claim text.

Automated system and method of monitoring anatomical structures

Life of this patent

Automated system and method of monitoring anatomical structures

Life of this patent

Abstract

Claims27