1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. Feature Drift Resilient Tracking Of The Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion

Feature Drift Resilient Tracking Of The Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

An analysis of the motion of the common carotid artery (CCA) provides effective indicators for cardiovascular diseases. Here, we propose a method for tracking CCA wall motion from a B-mode ultrasound video sequence. An unscented Kalman filter based on a s

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

Feature Drift Resilient Tracking Of The Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion

00:14:37

0 views

An analysis of the motion of the common carotid artery (CCA) provides effective indicators for cardiovascular diseases. Here, we propose a method for tracking CCA wall motion from a B-mode ultrasound video sequence. An unscented Kalman filter based on a s