Data processing and error estimation

John H. Challis

doi:10.4324/9780203095546-9

Data processing and error estimation

John H. Challis

Kinesiology

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

Measured values differ from their actual (true) values; they contain errors. Errors can arise during all four stages of the experimental process (calibration, acquisition, data analysis, data combination). The key terms associated with error analysis are defined and then discussed in the following contexts: The sampling of time-series data, data derived from image based motion analysis, determining human body segment inertial parameters, time-series low-pass filtering and the computation of their derivatives, the measurement of segment and joint orientations, data derived from force plates, and the combination of variables and parameters to determine other variables (e.g. resultant joint moments).

Original language	English (US)
Title of host publication	Biomechanical Evaluation of Movement in Sport and Exercise
Subtitle of host publication	The British Association of Sport and Exercise Sciences Guide
Publisher	Taylor and Francis
Pages	168-194
Number of pages	27
ISBN (Electronic)	9781136214462
ISBN (Print)	9780415632645
DOIs	https://doi.org/10.4324/9780203095546-9
State	Published - Jan 1 2017

All Science Journal Classification (ASJC) codes

General Medicine

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10.4324/9780203095546-9

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ER -

Data processing and error estimation

Abstract

All Science Journal Classification (ASJC) codes

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