Optimising Instrumented Mouthguard Data Analysis: Video Synchronisation Using a Cross-correlation Approach.

Purpose: Head acceleration events (HAEs) are a growing concern in contact sports, prompting two rugby governing bodies to mandate instrumented mouthguards (iMGs). This has resulted in an influx of data imposing financial and time constraints. This study presents two computational methods that leverage a dataset of video-coded match events: cross-correlation synchronisation aligns iMG data to a video recording, by providing playback timestamps for each HAE, enabling analysts to locate them in video footage; and post-synchronisation event matching identifies the coded match event (e.

Can a novel computer vision-based framework detect head-on-head impacts during a rugby league tackle?

Background: Head-on-head impacts are a risk factor for concussion, which is a concern for sports. Computer vision frameworks may provide an automated process to identify head-on-head impacts, although this has not been applied or evaluated in rugby.

Methods: This study developed and evaluated a novel computer vision framework to automatically classify head-on-head and non-head-on-head impacts.

Real-World Effectiveness and Tolerability of Dolutegravir and Lamivudine 2-Drug Regimen in People Living with HIV: Systematic Literature Review and Meta-Analysis.

Introduction: Dolutegravir (DTG) + lamivudine (3TC) demonstrated high rates of virologic suppression (VS) and low rates of virologic failure (VF), discontinuation, and drug resistance in randomized trials. Real-world evidence can support treatment effectiveness, safety, and tolerability in clinical practice and aid in treatment decisions.

Methods: A systematic literature review (SLR) was conducted to identify studies using DTG + 3TC (January 2013-March 2024).