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. ChennubhotlaJohn R. DurkinRichard John Bruce FrancisCecilia Wen Ya LoShannon Patrick QuinnMaliha Zahid
Date Submitted
2013-12-02
Collections
Healthcare AI