Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Discrete vs. functional based data to analyze countermovement jump performance

Richter, Chris and O'Connor, Noel E. and Moran, Kieran (2012) Discrete vs. functional based data to analyze countermovement jump performance. In: ACSM's 59th Annual Meeting and 3rd World Congress on Exercise is Medicine, May 29 - June 2, 2012, San Francisco, California.

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
136Kb

Abstract

While discrete point analysis (DPA) (e.g. peak power) is by far the most common method of analyzing movement data, it may have significant limitations because it ignores the vast majority of a signal’s data. In response, there has been a small but growing use of methods, such as functional data analysis (FDA), which allow an investigation of the underlying structure of the continuous signal and may therefore provide a more powerful analysis. However, a direct comparison between DPA and FDA has not been previously reported.

Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:discrete point analysis; DPA; peak power; movement data; FDA; functional data analysis
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
Published in:Medicine and Science in Sports and Exercise. 44(5 (Supplement)). American College of Sports Medicine.
Publisher:American College of Sports Medicine
Copyright Information:© 2012 American College of Sports Medicine
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16862
Deposited On:15 Jun 2012 09:38 by Chiu Soon Wong. Last Modified 30 May 2013 04:02

Download statistics

Archive Staff Only: edit this record