Abstract

This paper aims to develop a novel computational technique for the detection of the transit through the anaerobic threshold. This technique uses only cardiac intervals derived from the electrocardiogram and is based on algebraic relationships between RR and QRS intervals. Electrocardiograms are measured during the load and the recovery processes. Algebraic relationships between cardiac intervals are used not only to identify the anaerobic threshold but also to characterise individual features of the person during the transit through the threshold. The ratio between carbon dioxide and oxygen in the exhaled air is used to validate the results. The algebraic relationship between cardiac intervals serves as a stand-alone indicator for both the determination of the anaerobic threshold and the characterization of the performance of the person during the load and the recovery processes.

Highlights

  • Anaerobic threshold (AnT) is a frequently used standard term in sports medicine

  • The AnT is the point at which increased carbon dioxide production and minute ventilation result from increased levels of lactic acid during exercise

  • Anaerobic threshold based on RR and QRS cardiac intervals intervals and blood samples are taken at each increment

Read more

Summary

Introduction

Anaerobic threshold (AnT) is a frequently used standard term in sports medicine. The AnT is a reliable and powerful predictor of performance under the load. The AnT is sometimes defined equivalently to the lactate threshold (LT). The LT describes the exercise intensity beyond which blood lactate concentration is no longer linearly related to exercise intensity— but increases with both exercise intensity and duration [1]. The blood lactate concentration at the AnT is called the “maximum steady-state lactate concentration” (MLSS) [2]. The AnT is the point at which increased carbon dioxide production and minute ventilation result from increased levels of lactic acid during exercise. The LT and the AnT occur together under most conditions, strictly speaking even these two terms are not the same [3]

Objectives
Methods
Results
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.