Literature DB >> 21605759

Measurement of acceleration while walking as an automated method for gait assessment in dairy cattle.

N Chapinal1, A M de Passillé, M Pastell, L Hänninen, L Munksgaard, J Rushen.   

Abstract

The aims were to determine whether measures of acceleration of the legs and back of dairy cows while they walk could help detect changes in gait or locomotion associated with lameness and differences in the walking surface. In 2 experiments, 12 or 24 multiparous dairy cows were fitted with five 3-dimensional accelerometers, 1 attached to each leg and 1 to the back, and acceleration data were collected while cows walked in a straight line on concrete (experiment 1) or on both concrete and rubber (experiment 2). Cows were video-recorded while walking to assess overall gait, asymmetry of the steps, and walking speed. In experiment 1, cows were selected to maximize the range of gait scores, whereas no clinically lame cows were enrolled in experiment 2. For each accelerometer location, overall acceleration was calculated as the magnitude of the 3-dimensional acceleration vector and the variance of overall acceleration, as well as the asymmetry of variance of acceleration within the front and rear pair of legs. In experiment 1, the asymmetry of variance of acceleration in the front and rear legs was positively correlated with overall gait and the visually assessed asymmetry of the steps (r ≥ 0.6). Walking speed was negatively correlated with the asymmetry of variance of the rear legs (r=-0.8) and positively correlated with the acceleration and the variance of acceleration of each leg and back (r ≥ 0.7). In experiment 2, cows had lower gait scores [2.3 vs. 2.6; standard error of the difference (SED)=0.1, measured on a 5-point scale] and lower scores for asymmetry of the steps (18.0 vs. 23.1; SED=2.2, measured on a continuous 100-unit scale) when they walked on rubber compared with concrete, and their walking speed increased (1.28 vs. 1.22 m/s; SED=0.02). The acceleration of the front (1.67 vs. 1.72 g; SED=0.02) and rear (1.62 vs. 1.67 g; SED=0.02) legs and the variance of acceleration of the rear legs (0.88 vs. 0.94 g; SED=0.03) were lower when cows walked on rubber compared with concrete. Despite the improvements in gait score that occurred when cows walked on rubber, the asymmetry of variance of acceleration of the front leg was higher (15.2 vs. 10.4%; SED=2.0). The difference in walking speed between concrete and rubber correlated with the difference in the mean acceleration and the difference in the variance of acceleration of the legs and back (r ≥ 0.6). Three-dimensional accelerometers seem to be a promising tool for lameness detection on farm and to study walking surfaces, especially when attached to a leg.
Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21605759     DOI: 10.3168/jds.2010-3882

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  9 in total

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Authors:  Severiano R Silva; José P Araujo; Cristina Guedes; Flávio Silva; Mariana Almeida; Joaquim L Cerqueira
Journal:  Animals (Basel)       Date:  2021-07-30       Impact factor: 3.231

Review 2.  Lameness Detection in Dairy Cows: Part 2. Use of Sensors to Automatically Register Changes in Locomotion or Behavior.

Authors:  Annelies Van Nuffel; Ingrid Zwertvaegher; Stephanie Van Weyenberg; Matti Pastell; Vivi M Thorup; Claudia Bahr; Bart Sonck; Wouter Saeys
Journal:  Animals (Basel)       Date:  2015-08-28       Impact factor: 2.752

Review 3.  The Role of Infrared Thermography as a Non-Invasive Tool for the Detection of Lameness in Cattle.

Authors:  Maher Alsaaod; Allan L Schaefer; Wolfgang Büscher; Adrian Steiner
Journal:  Sensors (Basel)       Date:  2015-06-18       Impact factor: 3.576

Review 4.  Lameness Detection in Dairy Cows: Part 1. How to Distinguish between Non-Lame and Lame Cows Based on Differences in Locomotion or Behavior.

Authors:  Annelies Van Nuffel; Ingrid Zwertvaegher; Liesbet Pluym; Stephanie Van Weyenberg; Vivi M Thorup; Matti Pastell; Bart Sonck; Wouter Saeys
Journal:  Animals (Basel)       Date:  2015-08-28       Impact factor: 2.752

5.  Artificial Grass as an Alternative Laneway Surface for Dairy Cows Walking to Pasture.

Authors:  Stephanie Buijs; Gillian Scoley; Deborah McConnell
Journal:  Animals (Basel)       Date:  2019-11-01       Impact factor: 2.752

6.  A LoRa sensor network for monitoring pastured livestock location and activity.

Authors:  B R Dos Reis; Z Easton; R R White; D Fuka
Journal:  Transl Anim Sci       Date:  2021-01-25

7.  Use of Extended Characteristics of Locomotion and Feeding Behavior for Automated Identification of Lame Dairy Cows.

Authors:  Gian Beer; Maher Alsaaod; Alexander Starke; Gertraud Schuepbach-Regula; Hendrik Müller; Philipp Kohler; Adrian Steiner
Journal:  PLoS One       Date:  2016-05-17       Impact factor: 3.240

Review 8.  Association between Lameness and Indicators of Dairy Cow Welfare Based on Locomotion Scoring, Body and Hock Condition, Leg Hygiene and Lying Behavior.

Authors:  Mohammed B Sadiq; Siti Z Ramanoon; Wan Mastura Shaik Mossadeq; Rozaihan Mansor; Sharifah Salmah Syed-Hussain
Journal:  Animals (Basel)       Date:  2017-11-05       Impact factor: 2.752

9.  Supporting the Development and Adoption of Automatic Lameness Detection Systems in Dairy Cattle: Effect of System Cost and Performance on Potential Market Shares.

Authors:  Tim Van De Gucht; Stephanie Van Weyenberg; Annelies Van Nuffel; Ludwig Lauwers; Jürgen Vangeyte; Wouter Saeys
Journal:  Animals (Basel)       Date:  2017-10-08       Impact factor: 2.752

  9 in total

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