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dc.contributor.authorBisschoff, Christo A.
dc.contributor.authorCoetzee, Ben
dc.contributor.authorEsco, Michael R.
dc.date.accessioned2018-05-10T13:05:19Z
dc.date.available2018-05-10T13:05:19Z
dc.date.issued2018
dc.identifier.citationBisschoff, C.A. et al. 2018. Heart rate variability and recovery as predictors of elite, African, male badminton players’ performance levels. International journal of performance analysis in sport, 18(1):1-16. [https://doi.org/10.1080/24748668.2018.1437868]en_US
dc.identifier.issn2474-8668
dc.identifier.issn1474-8185 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/26857
dc.identifier.urihttps://doi.org/10.1080/24748668.2018.1437868
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/24748668.2018.1437868
dc.description.abstractThe aim of this study was to determine whether pre-match, in-match, resting and post-match heart rate variability (HRV) as well as resting and post-match heart rate recovery (HRR) can serve as significant predictors of male, elite, African, singles badminton players’ performance levels. Twenty-two male badminton players were categorised into successful and less successful player groups according to match results. Heart rates were recorded every second before (pre-match), during (in-match) and directly after (post-match) 46 matches to determine 14 HRV and 2 HRR indices. Binary, forward, stepwise logistic regression analyses’ results showed that log transformed low frequency to high frequency ratio (Ln-LFnu/Ln-HFnu ratio) and peak very low frequency power (VLF power (Hz)), were significantly (p < .05) related to group allocation of successful and less successful badminton players. Overall model fit was good and 75% of players could be classified into their original groups by making use of the HRV-based logistic regression formulas. Furthermore, all models had a large effect in predicting player classification, although only the pre- and in-match models emerged as being useful. In conclusion, short-term frequency domain-related HRV variables are related to badminton match performances and should be considered when measuring HRV in sport and exercise settingsen_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectAutonomic nervous systemen_US
dc.subjectHeart rate variabilityen_US
dc.subjectBadmintonen_US
dc.subjectPerformanceen_US
dc.titleHeart rate variability and recovery as predictors of elite, African, male badminton players’ performance levelsen_US
dc.typeArticleen_US
dc.contributor.researchID13234358 - Bisschoff, Christo Alfonzo
dc.contributor.researchID10090053 - Coetzee, Ben


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