Dynamic Texture Analysis for Automated Clinical Diagnosis of Abnormal Respirator

Description

The present invention pertains to the diagnosis of defects in ciliary motion that can lead to sinopulmonary disease, and in particular, to systems and methods for automatically classifying ciliary motion as normal or abnormal using video images of the ciliary motion and decomposing the ciliary motion into constituent motion elements, such as, without limitation, rotation and deformation.

IP Status

https://patents.google.com/patent/US9483685B2

Quick Facts:
Reference Number: 03185
Technology Type: Digital Health
Technology Subtype: Clinical Decision Support
Therapeutic Areas: Respiratory
Tags: Artificial intelligence (AI), Algorithm
Lead Inventor: Srinivas Chennubhotla
Department: Med-Computational and Systems Biology
All Tech Innovators: Srinivas C. Chennubhotla, John R. Durkin, Richard John Bruce Francis, Cecilia Wen Ya Lo, Shannon Patrick Quinn, Maliha Zahid
Date Submitted: 2013-12-02
Collections: Healthcare AI