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March 6, 20260 citationsOpen Access

AFEtm Protocolo de Prevención en Afectaciones Fisiológicas Tempranas

COCarlos Julio Caicedo Ortega

Key Result

AFEtm algorithm detected physiological pauses during sports using heart rate and accelerometer data without GPS, enabling calculation of cardiovascular recovery at 90s and 180s post pause to inform load management zones.

Key Points

  • The aim is to evaluate AFEtm as a non-clinical method for assessing cardiac recovery post-exercise.
  • Non-clinical preventive approach
  • Measures heart rate during recovery intervals
  • Transforms discrete heart rate data into recovery metrics
  • Assesses residual load and effort zones
  • Demonstrated effectiveness in quantifying cardiac recovery
  • Identified clear zones (Low, Moderate, High, Critical) for effort decisions
  • Facilitated informed decision-making for return to exercise

Structured PICO

I
Intervention
AFEtm protocol (automated detection of physiological pauses using heart rate and accelerometer data to calculate heart rate recovery at 90s and 180s post-effort)

The document outlines a technical protocol and pseudocode for AFEtm, a non-clinical sports technology system that automatically detects physiological pauses to calculate heart rate recovery and provide training load recommendations.

Limitations

  • No clinical trial data or validation metrics provided
  • No comparison with gold standard pause detection methods
  • No patient demographic or clinical outcome data available
  • Described as a technical-academic document, not a clinical study

Abstract

AFEtm es un metodo no clinico y preventivo que cuantifica la recuperacion cardiaca posterior al esfuerzo durante una ventana de 'tiempo muerto' (entretiempo, pausa o fin de sesion). El sistema transforma mediciones discretas de frecuencia cardiaca en metricas de recuperacion (HRR), carga residual (FCR) y una zona final (Bajo, Moderado, Alto, Critico) para apoyar decisiones de carga y retorno al esfuerzo.

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Cite This Study

Carlos Julio Caicedo Ortega (2026) studied Athletes during sport play with cardiovascular monitoring. AFEtm algorithm with automatic physiological pause detection vs. No pause detection or manual detection was evaluated on Effective detection of physiological pause using HR and accelerometer signals and calculation of cardiovascular recovery metrics (HRR90, HRR180, Residual180) to guide load management. AFEtm algorithm detected physiological pauses during sports using heart rate and accelerometer data without GPS, enabling calculation of cardiovascular recovery at 90s and 180s post pause to inform load management zones.

synapsesocial.com/papers/69aa70c8531e4c4a9ff5ad4fhttps://doi.org/10.5281/zenodo.18857472
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