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An innovative mathematical model was constructed to analyze effects of gender, landing type, shoes, ankle stabilizers, surface stiffness and sample frequency on PvGRF based on the pooled data.
The landing biomechanics is often affected by the landing type [ 1, 23], instruction [ 14], shoe [ 39], ankle stabilizer [ 16], surface stiffness [ 2], and participant's age [ 40], sex [ 41], fatigue [ 42], and vision [ 43].
Therefore, the purposes of this study were to (1) systematically review PvGRF data when participants landed from specific DHs with two legs; (2) construct a mathematical model describing the constitutive relationship between PvGRF and DH; and (3) analyze the effects of gender, landing type, shoes, ankle stabilizers, and surface stiffness on PvGRF regardless of DH based on the proposed models.
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