Advances in Sensing-Based Animal Biomechanics

A special issue of Biomechanics (ISSN 2673-7078).

Deadline for manuscript submissions: closed (20 October 2024) | Viewed by 2756

Special Issue Editor


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Guest Editor
Department for Companion Animals and Horses, University of Veterinary Medicine, Veterinärplatz 1, 1210 Vienna, Austria
Interests: equine biomechanics; motion analysis; canine biomechanics; muskolo-skeletal modelling and simulation
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Special Issue Information

Dear Colleagues,

Sensors in animal biomechanics are used for clinical applications as well as for animal monitoring in all areas. In particular, inertial measurement units (IMU) are key elements in lameness evaluation, feedback systems, and motion analysis in animal biomechanics and can be combined with EMG systems (muscle activity) and ultrasound systems to detect muscle activity and tendon strains.

High-precision detection and feedback systems of biomechanical parameters in veterinary medicine, animal sports, research, and animal farming will be part of animal lives in the near future and essential in animal welfare. This growing progress in the performance of sensors leads to a steady approach to practical needs.

This Special Issue aims to highlight advances sensing in animal biomechanics covering the development, testing, and modeling of biomechanical sensors on the component level as well as within biomechanical systems. Topics include but are not limited to:

  • Accelerometers;
  • Gyroscopes;
  • Force sensors (strain gauge, piezo, etc.);
  • Pressure sensors (capacitive, optical, piezo, strain gauge, etc.);
  • Fibre optic sensors;
  • EMG electrodes (surface, needle, array, capacitive);
  • Ultrasound sensors;
  • Ultra-wide band radar;
  • Gonimeters;
  • Optical tracking systems;
  • Nanomaterial-based sensors;
  • Advanced sensor characterization techniques;
  • Sensor error modeling and online calibration;
  • Pattern recognition algorithm;
  • Deep learning.

Prof. Dr. Christian Peham
Guest Editor

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Published Papers (1 paper)

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Research

19 pages, 4850 KiB  
Article
The Development of a Standardized Protocol for Quantifying Equestrian Eventing Cross-Country Ground
by Robert Graydon, Alison J. Northrop, Jaime H. Martin, Mark Lucey, Johannes Peter Schramel, Christian Peham, Lars Roepstorff, Jonathan Sinclair and Sarah Jane Hobbs
Biomechanics 2023, 3(3), 343-361; https://doi.org/10.3390/biomechanics3030029 - 7 Aug 2023
Cited by 3 | Viewed by 2052
Abstract
The ground has long been cited as a key contributing factor for injury risk in the cross-country phase of eventing. The current study aimed to develop a practically useful standardized protocol for measuring eventing cross country ground. Data collection was split into three [...] Read more.
The ground has long been cited as a key contributing factor for injury risk in the cross-country phase of eventing. The current study aimed to develop a practically useful standardized protocol for measuring eventing cross country ground. Data collection was split into three phases: Phase 1 (Validation), Phase 2 (Expansion of data set), and Phase 3 (Threshold establishment). During Phase 1, data from nine event courses were collected using an Orono Biomechanical Surface Tester (OBST), Vienna Surface Tester (VST), Lang Penetrometer, Going Stick, and moisture meter. Using linear regression, 80% of the variability in cushioning measured with the OBST was predicted from moisture and VST measurements (p < 0.001). In Phase 2, objective data from 81 event courses and subjective assessments from 180 event riders were collected. In Phase 3, k-means cluster analysis was used to classify the courses into ten clusters based on average course measurements of moisture, cushioning, firmness, stiffness, depth, and coefficient of restitution. Based on cluster membership, course average subjective data (16 courses) were compared using a General Linear Model. Significant differences (p < 0.05) in subjective impact firmness (p = 0.038) and subjective cushioning (p = 0.010) were found between clusters. These data and cluster thresholds provide an event course baseline for future comparisons. Full article
(This article belongs to the Special Issue Advances in Sensing-Based Animal Biomechanics)
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