Search Results - Entropy

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  1. 1

    HRV and blood parameters for assessing the physiological functioning of cyclists during long-distance rides across different altitudes

    Du, W., Zhang, M., Niu, X., Li, H., Wan, Y.
    Published in Frontiers in Physiology (2025)
    “…Among nonlinear HRV metrics, the short-term standard deviation of the Poincaré plot (SD1) and long-term standard deviation (SD2) significantly decreased at 4,182 m (P < 0.01), while approximate entropy (ApEn), sample entropy (SampEn), and alpha2 significantly increased (P < 0.05). …”
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  2. 2

    Pedaling variability in cycling: A nonlinear approach

    Albano, D.
    Published in Journal of Science and Cycling (2024)
    “…Moreover, variability has a specific structure and organization that can be quantified by nonlinear measures of complexity, such as entropy, fractal dimension, largest Lyapunov exponent (LyE). …”
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  3. 3

    Pedaling variability in cycling: A nonlinear approach

    Albano, D.
    Published in Journal of Science and Cycling (2024)
    “…Moreover, variability has a specific structure and organization that can be quantified by nonlinear measures of complexity, such as entropy, fractal dimension, largest Lyapunov exponent (LyE). …”
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  4. 4

    Shannon entropy and herfindahl-hirschman index as team's performance and competitive balance indicators in cyclist multi-stage races

    Ausloos, M.
    Published in Entropy (2023)
    “…Shannon-Entropie und Herfindahl-Hirschman-Index als Indikatoren für die Mannschaftsleistung und das Wettbewerbsgleichgewicht bei Radrennen über mehrere Etappen…”
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  5. 5

    The influence of cyclists' competitive level and exercise intensity on crank torque variability during pedalling

    Herrero-Molleda, A., Floría, P., Garcia-Lopez, J. “…Multiple-trial variability (average standard deviation) and complexity (Sample Entropy) analyses were applied. Both competitive level and pedalling intensity showed a significant effect on Sample Entropy values of crank torque, with a significant interaction between the two factors, while average standard deviation was only affected by pedalling intensity. …”
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  6. 6

    Immediate and long term effects of endurance and high intensity interval exercise on linear and nonlinear heart rate variability

    Perkins, S. E., Jelinek, H. F., Al-Aubaidy, H. A., de Jong, B. “…The long term correlation of the heart rate applying detrended fluctuation analysis was decreased immediately following endurance training (p = 0.039) and trended to increase immediately following the interval protocol (p = 0.156). Sample entropy was decreased immediately following both the endurance (p = 0.023) and interval (p = 0.031) protocols. …”
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