AIMC Topic: Athletes
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Footballer Action Tracking and Intervention Using Deep Learning Algorithm.
Journal of healthcare engineering
Mar 15, 2021
Fédération Internationale de Football Association is the governing body of the football world cup. The international tournament of football requires extensive training of all football players and athletes. In the training process of footballers, play...
Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes.
JAMA network open
Feb 1, 2021
IMPORTANCE: An objective, reliable indicator of the presence and severity of concussive brain injury and of the readiness for the return to activity has the potential to reduce concussion-related disability.
Relationship between training load and recovery in collegiate American football players during pre-season training.
Science & medicine in football
Dec 22, 2020
: The purpose of this study was to examine the relationship between training load and next-day recovery in collegiate American football (AF) players during pre-season.: Seventeen athletes (Linemen, n = 6; Non-linemen, n = 11) participated in the 14-d...
A Random Forest Machine Learning Framework to Reduce Running Injuries in Young Triathletes.
Sensors (Basel, Switzerland)
Nov 9, 2020
BACKGROUND: The running segment of a triathlon produces 70% of the lower limb injuries. Previous research has shown a clear association between kinematic patterns and specific injuries during running.
On-field player workload exposure and knee injury risk monitoring via deep learning.
Journal of biomechanics
Jul 8, 2019
In sports analytics, an understanding of accurate on-field 3D knee joint moments (KJM) could provide an early warning system for athlete workload exposure and knee injury risk. Traditionally, this analysis has relied on captive laboratory force plate...
Intelligent prediction of kinetic parameters during cutting manoeuvres.
Medical & biological engineering & computing
Jun 15, 2019
Due to its capabilities in analysing injury risk, the ability to analyse an athlete's ground reaction force and joint moments is of high interest in sports biomechanics. However, using force plates for the kinetic measurements influences the athlete'...
Cocoa flavanol effects on markers of oxidative stress and recovery after muscle damage protocol in elite rugby players.
Nutrition (Burbank, Los Angeles County, Calif.)
Nov 24, 2018
OBJECTIVES: Strenuous exercise can impair athletic performance due to muscular inflammation and oxidative stress. Antioxidants such as cocoa flavanols have been used as a supplement to prevent oxidative stress; however, the benefits of dietary antiox...
Predicting Athlete Ground Reaction Forces and Moments From Spatio-Temporal Driven CNN Models.
IEEE transactions on bio-medical engineering
Jul 9, 2018
The accurate prediction of three-dimensional (3-D) ground reaction forces and moments (GRF/Ms) outside the laboratory setting would represent a watershed for on-field biomechanical analysis. To extricate the biomechanist's reliance on ground embedded...
Test-retest reliability of the KINARM end-point robot for assessment of sensory, motor and neurocognitive function in young adult athletes.
PloS one
Apr 24, 2018
BACKGROUND: Current assessment tools for sport-related concussion are limited by a reliance on subjective interpretation and patient symptom reporting. Robotic assessments may provide more objective and precise measures of neurological function than ...
Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data.
Sensors (Basel, Switzerland)
Dec 28, 2017
The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization and flexibility of wearabl...
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