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Comparison of discrete point and continuous data analysis for identifying performance determining factors

Richter, Chris and O'Connor, Noel E. and Moran, Kieran (2012) Comparison of discrete point and continuous data analysis for identifying performance determining factors. In: 30th Conference of the International Society of Biomechanics in Sport, 2-6 July 2012, Melbourne, Australia.

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Abstract

The aim of this study is to compare the effectiveness in identifying performance determining factors (PDFs) using discrete point analysis (DPA), functional principal component analysis (fPCA) and a novel technique, analysis of characterizing phases (ACP). Twenty five vertical ground reaction force (vGRF) curves, recorded during a countermovement jump, were analyzed. DPA inappropriately identified the rate of force development as a PDF, due to bi-modal vGRF curves. In contrast, fPCA and ACP identified the phase around the peak vGRF before and after the rapid drop in force as a PDF. The continuous techniques showed greater benefit in analyzing the captured data as they are not affected by the timing of key variables (e.g. peak vGRF), indicate the period over which a PDF occurs and do not discard potentially important information.

Item Type:Conference or Workshop Item (Speech)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:DISCRETE POINT ANAYSIS; CONTINUOUS DATA ANALYSIS; FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS; PERFORMANCE DETERMINING FACTOR
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:16863
Deposited On:11 Jul 2012 15:28 by Chiu Soon Wong. Last Modified 11 Sep 2012 14:31

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