Q - Power

Indoor Rowing Team

Fatigue (2)

(3) Interpreting the data

Kubios produces a pdf of the log analysis in the format set out below. This page gives an overview of the main areas of analysis. The detail of each part will be considered in due course. However in broad terms what we are looking for is a strong sympathetic nervous system, a strong parasympathetic nervous system, and therefore necessarily a strong autonomic nervous system as a whole. Some of the parameters that are measured isolated either sympathetic or parasympathetic, and others provide information about the whole. By taking the data together, a picture is revealed showing how the athletes nervous system is coping.

The top part of the analysis reproduces a graph of heart rate against time. The bottom graph sets out the data as recorded. The top graph depicts adjusted data (depending on the detrending method applied). This can be used to reduce or remove the effect of any obvious errors (e.g. a momentary loss of signal). In this case there is no detrending needed.

The first set of results use a time domain analysis. This method is particularly useful where the data sample is short (as in the case if a 1 minute log).

The second set of results transforms the data into a frequency domain analysis. This enables the HR graph to be split into its component parts by frequency (very low frequency, low frequency and high frequency).

The third set of results are nonlinear which we do not need.


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