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

Pfau, T; Reilly, P

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