MoM data is derived from two key statistical measures:

1. Grand Mean (GM) – The overall average of all individual trial responses.

2. Mean of Minute Means (MoM) – The unweighted average of the mean values calculated for each minute.

When each minute contains the same number of trials, the MoM and GM are identical. However, if the number of trials per minute varies, the MoM can diverge from the GM, indicating higher performance variability in an athlete’s session.

Data Available With MoM Monitoring

MoM tracking provides insights into several key performance metrics, including:

Reaction Time – The time taken to respond to a stimulus.

Speed – A normalized measure of response performance, reducing the impact of outliers.

Variation (CV) – The consistency of response times across trials.

Accuracy – The percentage of correct responses.

RCS (Rate Correct Score) – The number of correct responses per second, balancing speed and accuracy.

BPM (Beats Per Minute) – Heart rate data for physiological monitoring.

rMSSD (Root Mean Square of Successive Differences) – A measure of short-term heart rate variability (HRV) linked to autonomic function.

SDNN (Standard Deviation of Normal-to-Normal Intervals) – A broader HRV metric reflecting overall variability in heart rate.

By analyzing MoM data, coaches and athletes can assess cognitive and physiological trends, detect inconsistencies, and optimize training strategies for improved performance.