Anaerobic threshold measurement using dynamic neural network models
(Messung der anaeroben Schwelle mit Modellen dynamischer neuronaler Netze)
This paper deals with the subject of anaerobic threshold measurements for athletes involved in aerobic or aerobic/anaerobic sports. Traditionally, anaerobic threshold has been determined using invasive tests or using a non-invasive technique using steady-state heart-rate/work rate data. Non-invasive tests have the advantage of not requiring specialised equipment, but the acquisition of steady-state information can be problematic. This paper demonstrates how dynamical data can be used to accurately determine the steady-state heart-rate/work-rate curve (SSHW curve) using neural network dynamic models.
© Copyright 1999 Computers in Biology and Medicine. Elsevier. Alle Rechte vorbehalten.
| Schlagworte: | |
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| Notationen: | Biowissenschaften und Sportmedizin Naturwissenschaften und Technik |
| Veröffentlicht in: | Computers in Biology and Medicine |
| Sprache: | Englisch |
| Veröffentlicht: |
1999
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| Online-Zugang: | https://doi.org/10.1016/s0010-4825(99)00008-6 |
| Jahrgang: | 29 |
| Heft: | 4 |
| Seiten: | 259-271 |
| Dokumentenarten: | elektronische Publikation |
| Level: | hoch |