We present a quantitative comparison of three categories of velocity estimation algorithms, including centroid techniques (the adaptive centroid technique and the weighted centroid technique), the sliding-window filtering technique, and correlation techniques (autocorrelation and cross correlation). We introduce, among these five algorithms, two new algorithms: weighted centroid and sliding-window filtering. Simulations and in vivo blood flow data are used to assess the velocity estimation accuracies of these algorithms. These comparisons demonstrate that the sliding-window filtering technique is superior to the other techniques in terms of velocity estimation accuracy and robustness to noise.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/ao.41.006118 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Measurement of intravascular volume status in infants undergoing cranial vault reconstruction for craniosynostosis.
Surg Pract Sci
June 2022
Division of Pediatric Surgery, Department of Surgery, University of Colorado School of Medicine, B-323, 13123 E 16th Ave. Aurora, CO 80045, USA.
Introduction: Determining the need, optimal timing, amount, and type of fluid for volume expansion in hypovolemic infants is challenging, due to their small intravascular volumes and robust compensatory reserve. To assess markers of fluid responsiveness in hypovolemic infants, we studied those undergoing cranial vault reconstructive surgery-a procedure associated with significant blood loss. We aimed to determine the ability of the Compensatory Reserve Index (CRI) monitor, which provides a continuous, individual-specific, beat-to-beat estimate of central volume status, to distinguish fluid responders from non-responders.
View Article and Find Full Text PDFUncovering the hidden mechanics of upper body rotations in tennis serves using wearable sensors on Dutch professional players.
Front Sports Act Living
January 2025
Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Background: It is assumed that the tennis serve is performed according to the kinetic chain principle in which a proximal-to-distal sequence in peak angular velocities of subsequent body segments can be observed to reach high end point ball velocities. The aim of the present study was to investigate if the magnitude and (intersegmental) timing of peak angular velocities of body segments in professional tennis players are different between first and second serves and if they are associated with serve performance.
Methods: Eight (two female and six male) professional tennis players performed each 48 tennis serves on a tennis court.
Seismic refraction investigation of the shallow bedrock in New Qena City, Eastern Desert, Egypt.
Sci Rep
January 2025
Aswan Regional Earthquake Research Center, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Egypt.
The seismic refraction technique has demonstrated its efficiency as a cost-effective geophysical approach for bedrock investigation, which is very important for major construction projects. In the southern part of New Qena City, in the Eastern Desert of Egypt, construction of many domestic facilities is planned. Therefore, a prior investigation focusing on bedrock is required to validate the site for construction and other projects.
View Article and Find Full Text PDFImproving the Use of Lifting Velocity to Predict Repetitions to Failure: A Systematic Review.
Int J Sports Physiol Perform
January 2025
Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Background: A recent advancement in velocity-based training involves estimating the maximum number of repetitions to failure (RTF) by analyzing the fastest velocity recorded within a set. A systematic review examining the fundamental characteristics of the RTF-velocity relationship is still lacking.
Purpose: This study aimed to (1) determine the basic properties of the RTF-velocity relationships (goodness of fit, reliability, and accuracy) and (2) offer guidance on implementing various methodological factors that can impact the RTF accuracy prediction.
A data-consistent model of the last glaciation in the Alps achieved with physics-driven AI.
Nat Commun
January 2025
Department of Geography, University of Zurich, Zurich, Switzerland.
25 thousand years ago, the European Alps were covered by the kilometre-thick Alpine Ice Field. Numerical modelling of this glaciation has been challenged by model-data disagreements, including overestimations of ice thickness. We tackle this issue by applying the Instructed Glacier Model, a three-dimensional model enhanced with physics-informed machine learning.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!