AI Medical Compendium Topic

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Athletic Performance

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Artificial neural networks and player recruitment in professional soccer.

PloS one
The aim was to objectively identify key performance indicators in professional soccer that influence outfield players' league status using an artificial neural network. Mean technical performance data were collected from 966 outfield players' (mean S...

Effective injury forecasting in soccer with GPS training data and machine learning.

PloS one
Injuries have a great impact on professional soccer, due to their large influence on team performance and the considerable costs of rehabilitation for players. Existing studies in the literature provide just a preliminary understanding of which facto...

IHMC's experience competing in the Cybathlon compared to the DARPA robotics challenge.

Journal of neuroengineering and rehabilitation
BACKGROUND: As a research scientist, my work tends to focus on scientific investigations. Our group occasionally makes discoveries or has a successful demonstration, and sometimes we can even repeatedly demonstrate something working on the hardware. ...

Monitoring Hitting Load in Tennis Using Inertial Sensors and Machine Learning.

International journal of sports physiology and performance
CONTEXT: Quantifying external workload is fundamental to training prescription in sport. In tennis, global positioning data are imprecise and fail to capture hitting loads. The current gold standard (manual notation) is time intensive and often not p...

Machine learning of swimming data via wisdom of crowd and regression analysis.

Mathematical biosciences and engineering : MBE
Every performance, in an officially sanctioned meet, by a registered USA swimmer is recorded into an online database with times dating back to 1980. For the first time, statistical analysis and machine learning methods are systematically applied to 4...

Evaluation of tactical training in team handball by means of artificial neural networks.

Journal of sports sciences
While tactical performance in competition has been analysed extensively, the assessment of training processes of tactical behaviour has rather been neglected in the literature. Therefore, the purpose of this study is to provide a methodology to asses...

A minimum attention control law for ball catching.

Bioinspiration & biomimetics
Digital implementations of control laws typically involve discretization with respect to both time and space, and a control law that can achieve a task at coarser levels of discretization can be said to require less control attention, and also reduce...