Abstract
Assessment of the current physical performance of an athlete relies on monitoring several parameters in response to a stimulus. One of them is a fast march on a treadmill with regulated speed and incline. Because traditional parameters describing physical performance (heart rate, blood lactate concentration, VO2max ) do not provide specific information about muscle activity, an alternative approach is needed. This applies to muscle oxygen saturation (SmO2 ), which can be acquired in a noninvasive way based on near-infrared spectroscopy (NIRS). The changes of SmO2 are evaluated as fitting the linear regression to three phases of the experiment: the march with the velocity of 4 mph (6.44 km/h), the march with the highest walking velocity, and the rest. The coefficients of linear regression indicate the decrease of SmO2 level during the phases 1 and 2 and the increase of SmO2 level during the rest. Observed values of linear regression coefficients of SmO2 during the analyzed phases indicate the usefulness of NIRS in evaluating muscle fatigue, which may find its use in monitoring the interval training.
| Original language | English |
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| Title of host publication | Lecture Notes in Networks and Systems : nternational Conference on Information Technology and Systems, ICITS 2022 |
| Volume | 441 |
| Publisher | Springer, Cham |
| Publication date | 02.03.2022 |
| Pages | 96-105 |
| ISBN (Print) | 978-3-030-96292-0 |
| ISBN (Electronic) | 978-3-030-96293-7 |
| DOIs | |
| Publication status | Published - 02.03.2022 |
