How Do We Calculate MoM Data?

Examine an athlete's cognitive and physiological indicators during a cognitive task.

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Written by Axon
Updated over a week ago

Minute on Minute (MoM) tracking serves as a method to examine an athlete's cognitive and physiological indicators during a cognitive task.

The Advantages of MoM Monitoring

MoM monitoring presents a range of benefits for coaches and trainers, including:

Adaptation to Cognitive Stress: MoM monitoring offers valuable insights into the fluctuations in an athlete's cognitive stress levels during the cognitive task. This data enables coaches to tailor their training programs appropriately.

Performance Consistency: Through MoM monitoring, coaches can evaluate the uniformity of an athlete's performance, helping them identify potential areas for improvement.

Identification of Cognitive and Physiological Thresholds: MoM monitoring enables coaches to pinpoint the exact moment when an athlete's cognitive and physiological performance starts to decline. This knowledge aids in modifying the training regimen.

Insight into Grand Mean: By providing a holistic view of an athlete's grand mean, MoM monitoring allows coaches to gain a more in-depth understanding of an athlete's performance.

So, how is MoM Data Calculated?

MoM data is derived using two key measures - the Grand Mean (GM) and the Mean of Minute Means (MoM). The GM is the average of all individual trial responses, while the MoM represents the unweighted average of the mean values for each minute. When the minute means are derived from the same number of trials, the MoM aligns with the GM. However, a larger divergence between the MoM and GM occurs when an athlete's performance demonstrates greater variability.

Data Available with MoM Monitoring

  • Reaction Time

  • Speed

  • Variation

  • Accuracy

  • RCS

  • BPM

  • rMSSD

  • SDNN

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