Since the accelerating development of technology applied to team sports and its subsequent high amount of information available, the need for data mining leads to the use of data …
The availability of critical information about training and competition is fundamental on performance. Principal components analysis (PCA) is widely used in sports as a multivariate …
LP James, H Suppiah… - … journal of sports …, 2021 - journals.humankinetics.com
Purpose: Dozens of variables can be derived from the countermovement jump (CMJ). However, this does not guarantee an increase in useful information because many of the …
This study aimed to determine the effects of different verbal instructions, intended to affect the countermovement jump (CMJ) execution time, on the reactive strength index modified …
The purpose of this study was to relate the shape of countermovement jump (CMJ) vertical ground reaction force waveforms to discrete parameters and determine if waveform shape …
Background Establishing the reliability of countermovement jump (CMJ) metrics over multiple weeks can be important in understanding and tracking changes in jump …
A Navandar, K Kipp, E Navarro - Journal of Sports Sciences, 2022 - Taylor & Francis
This study used principal component analysis (PCA) of waveforms to extract movement patterns from hip and knee angle time-series data; and determined if the extracted …
MGE White, NE Bezodis, J Neville, H Summers… - Plos one, 2022 - journals.plos.org
External peak power in the countermovement jump is frequently used to monitor athlete training. The gold standard method uses force platforms, but they are unsuitable for field …