This technology is an electromechanical wave imaging platform for non-invasive, automated generation of cardiac activation sequencing mapping.
Current clinical standards for diagnosing cardiac conduction diseases, such as arrythmias, rely on intracardiac electroanatomic mapping (EAM). However, EAM is invasive, time-consuming, and costly. EAM also exposes patients to radiation for probe guidance. As a result, there is a need for cardiac imaging techniques that are non-invasive, low-cost, and radiation-free for early detection of arrhythmogenic sources in the heart and for diagnosis of cardiac diseases.
This technology is an electromechanical wave imaging (EWI)-based technique that incorporates a machine learning model into an automated pipeline for ultrasound-based cardiac activation mapping. This EWI-based approach is non-invasive, cost effective, and does not use harmful ionizing radiation. Additionally, the cardiac activation mapping is completely automated, resulting in unbiased and real-time analysis, as all activation map points are processed at once. This technique provides clinicians with early detection and diagnosis of conduction diseases before and during interventional procedures.
Patent Pending (US 20230363736)
IR CU21074
Licensing Contact: Dovina Qu