Improved Ultrasonic Local PWV Estimation Via Optimal Time Fiduciary Point Combination and Time Delays Fitness

The authors investigate how to enhance the accuracy of local pulse wave velocity (PWV) estimation, which is crucial for assessing arteriosclerosis and diagnosing cerebrovascular diseases. They propose a novel method, PGC, that optimizes the selection of time fiduciary points and time delays using a combination of particle swarm optimization and genetic algorithms, resulting in significantly improved estimation accuracy and reduced variability in both simulation and in vivo experiments. The findings suggest that this method could lead to more reliable diagnostic information for cerebrovascular conditions.