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The benefit of continuous data analysis to analyze countermovement jump performance

Richter, Chris and O'Connor, Noel E. and Moran, Kieran (2012) The benefit of continuous data analysis to analyze countermovement jump performance. In: BIG 2012 - Biomechanics Interest Group, 4 Apr 2012, Belfast, UK.

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While discrete point analysis (DPA; e.g. peak power) is by far the most common method of analyzing movement data, it has significant limitations because it ignores the vast majority of a signal’s data. In response, functional principal component analysis (fPCA) has been proposed, which allows an investigation of the underlying structure of the continuous signal. However, a limitation to fPCA is that it may mask key phases of differences between subjects, and hence we propose a modified fPCA (modfPCA). We report on the direct comparison between DPA, fPCA and modfPCA in identifying performance determining factors (PDF) from vertical ground reaction force (vGRF) data for counter movement jumps (CMJ).

Item Type:Conference or Workshop Item (Speech)
Event Type:Conference
Uncontrolled Keywords:discrete point analysis; DPA; peak power; movement data; functional principal component analysis; fPCA
Subjects:Medical Sciences > Sports sciences
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16865
Deposited On:10 Apr 2012 11:44 by Chiu Soon Wong. Last Modified 08 Dec 2016 10:47

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