AIMC Topic: Athletes
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IMU Airtime Detection in Snowboard Halfpipe: U-Net Deep Learning Approach Outperforms Traditional Threshold Algorithms.
Sensors (Basel, Switzerland)
Oct 22, 2024
Airtime is crucial for high-rotation tricks in snowboard halfpipe performance, significantly impacting trick difficulty, the primary judging criterion. This study aims to enhance the detection of take-off and landing events using inertial measurement...
Neural network and layer-wise relevance propagation reveal how ice hockey protective equipment restricts players' motion.
PloS one
Oct 15, 2024
Understanding the athlete's movements and the restrictions incurred by protective equipment is crucial for improving the equipment and subsequently, the athlete's performance. The task of equipment improvement is especially challenging in sports incl...
Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.
The international journal of cardiovascular imaging
Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Predictive Value of Tests
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Male
Middle Aged
Severity of Illness Index
Humans
Running
Reproducibility of Results
Athletes
Artificial Intelligence
Aged
Prospective Studies
Coronary Vessels
Asymptomatic Diseases
Computed Tomography Angiography
Coronary Stenosis
Fractional Flow Reserve, Myocardial
From data to decision: Machine learning determination of aerobic and anaerobic thresholds in athletes.
PloS one
Aug 29, 2024
Lactate analysis plays an important role in sports science and training decisions for optimising performance, endurance, and overall success in sports. Two parameters are widely used for these goals: aerobic (AeT) and anaerobic (AnT) thresholds. Howe...
Using machine learning to determine the nationalities of the fastest 100-mile ultra-marathoners and identify top racing events.
PloS one
Aug 22, 2024
The present study intended to determine the nationality of the fastest 100-mile ultra-marathoners and the country/events where the fastest 100-mile races are held. A machine learning model based on the XG Boost algorithm was built to predict the runn...
Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics?
Neuroinformatics
Jul 30, 2024
Over the past decade, the intricacies of sports-related concussions among female athletes have become readily apparent. Traditional clinical methods for diagnosing concussions suffer limitations when applied to female athletes, often failing to captu...
Measuring Vertical Jump Height With Artificial Intelligence Through a Cell Phone: A Validity and Reliability Report.
Journal of strength and conditioning research
Jul 2, 2024
Erik, HT, Onn, SW, and Montalvo, S. Vertical jump height with artificial intelligence through a cell phone: a validity and reliability report. J Strength Cond Res 38(9): e529-e533, 2024-This study estimated the reliability and validity of an artifici...
Systematic training of table tennis players' physical performance based on artificial intelligence technology and data fusion of sensing devices.
SLAS technology
May 23, 2024
This research emphasises the value of physical training for table tennis players, particularly as ball speed and spin rate decline and emphasises how important intensity quality is to the game. Chinese table tennis players' dual identities place grea...
Athlete body fat rate monitoring and motion image simulation based on SDN data center network and sensors.
Preventive medicine
Jul 13, 2023
With the development of artificial intelligence technology, new software is also emerging in an endless stream. On the basis of sensors, the new software realizes the separation of network control layer and data layer, thereby improving network throu...
Artificial intelligence as a potential teaching tool for athletes: when the skate and the smartphone run together.
The Journal of sports medicine and physical fitness
Jun 14, 2023
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