Publications by authors named "S Rowson"
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.
View Article and Find Full Text PDFHow Shell Add-On Products Influence Varsity Football Helmet Performance?
Ann Biomed Eng
November 2024
Article Synopsis
- The study aimed to evaluate the performance of three shell add-on products for helmets under varsity-level impact conditions through laboratory tests.
- Pendulum impact tests measured head kinematics and concussion risk with different helmet models and configurations to assess each add-on's effectiveness.
- Results showed that the Guardian NXT add-on significantly reduced peak linear acceleration, peak rotational acceleration, and concussion risk more than the other two products, emphasizing the importance of helmet model selection for improved head protection.
Article Synopsis
- Systemic lupus erythematosus (SLE) primarily affects women around their childbearing years, and this study focuses on the risk factors and frequency of adverse pregnancy outcomes (APOs) in an Australian group of female SLE patients.
- The research included a review of pregnancy histories from 278 participants, revealing a 44.3% rate of APOs, most commonly involving prematurity and associated with younger ages at SLE diagnosis and specific antibody presence.
- The findings highlight the importance of pre-pregnancy counseling and collaboration among healthcare specialists for women with SLE, particularly those diagnosed at a younger age, to manage the risks of pregnancy effectively.
Article Synopsis
- This study aims to create a prognostic model to predict recovery times for concussion patients, benefiting early treatment interventions worldwide.
- The research involved analyzing diffusion-weighted MRI data from collegiate athletes who suffered concussions, categorizing recoveries into early and late groups based on their return-to-play timelines.
- Advanced data processing techniques were used to assess microstructural properties of brain tracts, with statistical analyses employed to evaluate their correlation with recovery outcomes, ultimately using logistic regression for classification.
Background: Early medical attention after concussion may minimize symptom duration and burden; however, many concussions are undiagnosed or have a delay in diagnosis after injury. Many concussion symptoms (eg, headache, dizziness) are not visible, meaning that early identification is often contingent on individuals reporting their injury to medical staff. A fundamental understanding of the types and levels of factors that explain when concussions are reported can help identify promising directions for intervention.
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