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How low can we go? Influence of sample rate on equine pelvic displacement calculated from inertial sensor data

Pfau, T; Reilly, P

Authors

T Pfau

P Reilly



Abstract

Background

Low‐cost sensor devices are often limited in terms of sample rate. Based on signal periodicity, the Nyquist theorem allows determining the minimum theoretical sample rate required to adequately capture cyclical events, such as pelvic movement in trotting horses.

Objectives

To quantify the magnitude of errors arising with reduced sample rates when capturing biological signals using the example of pelvic time‐displacement series and derived minima and maxima used to quantify movement asymmetry in lame horses.

Study design

Data comparison.

Methods

Root mean square (RMS) errors between the ‘reference’ time‐displacement series, captured with a validated inertial sensor at 100 Hz sample rate, and down‐sampled time‐series (8 Hz to 50 Hz) are calculated. Accuracy and precision are determined for maxima and minima derived from the time‐displacement series.

Results

Average RMS errors are

Citation

Pfau, T., & Reilly, P. (2020). How low can we go? Influence of sample rate on equine pelvic displacement calculated from inertial sensor data. Equine Veterinary Journal, https://doi.org/10.1111/evj.13371

Journal Article Type Other
Acceptance Date Oct 28, 2020
Publication Date Oct 28, 2020
Deposit Date Nov 6, 2020
Publicly Available Date Oct 29, 2021
Journal Equine Veterinary Journal
Print ISSN 0425-1644
Publisher Wiley
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1111/evj.13371
Keywords Equine, General Medicine
Public URL https://rvc-repository.worktribe.com/output/1441201

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