Model-based Systems for Professional Football Teams, Aimed at Optimizing Health and Performance

NCT05872945 | Completed

• 1 other identifier: 1573N19
• Study Type: observational
• Target: 54
• Locations: 1 country
• Sites: 1

Brief Summary

LIST OF PLANNED ORIGINAL PUBLICATIONS

1. 1.T wave inversion detection with machine learning to prevent sudden death in professional football players.
2. 2.Machine learning applied to biological parameters for control and advisory in professional football players (Machine learning applied to biological parameters for control and advisory in professional football players.)
3. 3.Machine learning applied to sport geolocation systems for injury prevention in professional football players.

Conditions

Electrocardiogram; Arrhythmias, Cardiac

Keywords

Artificial Intelligence; Performance; Pro Football Players; Sudden Death Prevention

Outcome Measures

Primary Outcomes (1)

• Waves Detection

  Detection waves changes in the electrocardiogram from pro football players

  2023-2024

Interventions

Electrocardiogram DIAGNOSTIC_TEST

Study by Artificial Intelligence the biosignal or biodata from profesional football players

Also known as: Blood Analitycs, GPS Data

Eligibility Criteria

• Age: 18 Years - 45 Years
• Sex: male
• Healthy Volunteers: No
• Age Groups: Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

Pro Football Players

You may qualify if:

• Healthy young and professional players of legal age who play their role in professional football teams.

You may not qualify if:

• Players who are not a regular part of these professional teams.
• Players with known pathology.

Sponsors & Collaborators

• RCD Mallorca SAD: lead

Study Sites (1)

RCD Mallorca SAD

Palma de Mallorca, 07011, Spain

Location

Related Links

• Repository to view the dataset

Biospecimen

Retention: SAMPLES WITHOUT DNA

Electrocardiogram Blood Analytics GPS Physical Data

MeSH Terms

Conditions

Arrhythmias, Cardiac

Interventions

Electrocardiography

Condition Hierarchy (Ancestors)

Heart Diseases; Cardiovascular Diseases; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

Heart Function Tests; Diagnostic Techniques, Cardiovascular; Diagnostic Techniques and Procedures; Diagnosis; Electrodiagnosis

Study Officials

• Adolfo Munoz Macho, Dr.

  RCD Mallorca SAD

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: May 2, 2023
• First Posted: May 24, 2023
• Study Start: July 1, 2019
• Primary Completion: June 1, 2024
• Study Completion: July 30, 2024
• Last Updated: November 13, 2024

Record last verified: 2024-11

Data Sharing

• IPD Sharing: Will share
• Shared Documents: STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
• Time Frame: The information will be available from June 2023 onwards
• Access Criteria: Information that is public and available on request to researchers with an interest in physiological datasets

Locations

ES (1)