AI Medical Compendium Journal:
Journal of science and medicine in sport

Showing 1 to 9 of 9 articles

Comparing cadence-based and machine learning based estimates for physical activity intensity classification: The UK Biobank.

Journal of science and medicine in sport
OBJECTIVES: Cadence thresholds have been widely used to categorize physical activity intensity in health-related research. We examined the convergent validity of two cadence-based intensity classification approaches against a machine-learning-based i...

An artificial intelligence tool misclassifies sport science journals as predatory.

Journal of science and medicine in sport
OBJECTIVES: The choice of a scholarly journal, as opposed to a predatory journal, might impact a sport scientist's career negatively if the wrong choice is made, especially at an early stage of their research and publishing careers. Artificial intell...

Developing AI enabled sensors and decision support for military operators in the field.

Journal of science and medicine in sport
Wearable sensors enable down range data collection of physiological and cognitive performance of the warfighter. However, autonomous teams may find the sensor data impractical to interpret and hence influence real-time decisions without the support o...

Adaptive Athlete Training Plan Generation: An intelligent control systems approach.

Journal of science and medicine in sport
OBJECTIVES: The planning and control of team sport training activities is an extremely important aspect of athletic development and team performance. This research introduces a novel system which leverages techniques from the fields of control system...

The implications of emerging technology on military human performance research priorities.

Journal of science and medicine in sport
OBJECTIVES: To demonstrate the need for the military human performance research community to anticipate and evolve with the emergence of new and disruptive battlefield technologies that are changing the fundamental role of the human combatant.

Using machine learning to improve our understanding of injury risk and prediction in elite male youth football players.

Journal of science and medicine in sport
OBJECTIVES: The purpose of this study was to examine whether the use of machine learning improved the ability of a neuromuscular screen to identify injury risk factors in elite male youth football players.

Effects of reduced plantar cutaneous sensation on static postural control in individuals with and without chronic ankle instability.

Journal of science and medicine in sport
OBJECTIVES: The purpose of this study was to determine how reduced plantar cutaneous sensation influences static postural control in individuals with and without CAI.

Fuzzy logic for characterizing the moderate intensity of physical activity in children.

Journal of science and medicine in sport
OBJECTIVES: The aim of this study was to better characterize the moderate intensity of PA among children by applying fuzzy logic as the most appropriate analytical approach. In this perspective, the 6-MWT was selected as a pertinent exercise modality...

Prediction of activity type in preschool children using machine learning techniques.

Journal of science and medicine in sport
OBJECTIVES: Recent research has shown that machine learning techniques can accurately predict activity classes from accelerometer data in adolescents and adults. The purpose of this study is to develop and test machine learning models for predicting ...