The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance

Area of Science:

• Sports Science
• Biotechnology
• Data Science

Background:

• Growing interest in individualised athlete training using advanced data.
• Need for objective measures to guide training prescription and adaptation monitoring.

Purpose of the Study:

• Explore emerging technologies for athlete training individualisation.
• Develop a theoretical model for applying these technologies in elite sports.
• Address key coaching questions regarding athlete response, adaptation, and load management.

Main Methods:

• Review of evidence for epigenetic changes, microbiome analysis, and cell-free DNA.
• Integration of data mining and machine learning techniques.
• Development of a theoretical model for elite sport application.

Main Results:

• Identification of key emerging technologies applicable to athlete training.
• A proposed model to answer critical coaching questions.
• Consideration of the potential benefits and implementation challenges.

Conclusions:

• Emerging technologies offer potential for highly individualised athlete training.
• A structured model can guide the application of these technologies for enhanced performance.
• Further research and practical implementation are needed to validate the approach.