Vertical head and trunk movement adaptations of sound horses trotting in a circle on a hard surface

Starke, Sandra D.; Willems, E.; May, S. A.; Pfau, Thilo

doi:10.1016/j.tvjl.2011.10.019

Cited by 79 publications

(126 citation statements)

References 22 publications

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“…Inertial sensor data were recorded wirelessly at 100 Hz. Data were processed as described previously (Pfau et al, 2005;Starke et al, 2012c), deriving vertical (aligned with gravity) displacement of all three body landmarks after double-integration and filtering (4th order, zero-lag Butterworth highpass filter, cut-off frequency 1 Hz). Data were segmented into strides from early stance of the left hind (LH) limb based on translatory and rotational recordings of the sacrum sensor as validated previously (Starke et al, 2012d).…”

Section: Experimental Datamentioning

confidence: 99%

“…The mean (SD) number of retained strides per horse was 47 (22), ranging from nine to 117 strides depending on the individual data collection session. Data of LH lame horses were converted to the RH lameness equivalent (see supplementary material S2 for details); the side of lameness was established based on the sign of the Symmetry Index SI up (see below and (Uhlir et al, 1997;Starke et al, 2012c)). The experimental portion of the study was approved by the local ethics committee and complied with the RVC's guidelines.…”

Section: Experimental Datamentioning

confidence: 99%

“…Similarly, for computerised detection of hind limb lameness, studies have focussed either on the quantification of sacrum movement asymmetry (Buchner et al, 1996;Kramer et al, 2000Peham et al, 2001;Audigie et al, 2002;Church et al, 2009) or comparative tubera coxae movement asymmetry (May and Wyn-Jones, 1987;Kramer et al, 2000;Church et al, 2009). Studies that used both approaches came to varying conclusions regarding optimal landmark choice and asymmetry features (Buchner et al, 1996;Kramer et al, 2000;Church et al, 2009;Starke et al, 2012c;Starke et al, 2013;Pfau et al, 2014). To date, these studies have not tested the basic mechanics that form the foundation for the response to lameness and association between different measures.…”

Section: Introductionmentioning

confidence: 99%

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Understanding hind limb lameness signs in horses using simple rigid body mechanics

Starke

May

Pfau

2015

Journal of Biomechanics

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Section: Experimental Datamentioning

confidence: 99%

Section: Experimental Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding hind limb lameness signs in horses using simple rigid body mechanics

Starke

May

Pfau

2015

Journal of Biomechanics

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“…L. H. Douilly et al [18] studied the hoof slip distance by placing piezoelectric accelerometer at the right front hoof of the horse. Other parts on the horse had also been tried, sensors attached to the poll (head) and withers [19], [20]; accelerometer placed on the sternum (the bone of the chest) [21]; accelerometer attached to the saddle had been used to measure the acceleration of different gaits [1] [22]. However, the purpose was different in this study, the aim was to find which part on the horse had the most stable acceleration, so in order to decide which part on the horse was the best place to mount the sensor, four sensors were put on the head, the back, the left side and the right side of the trunk of the horse respectively, and the results are shown in the Fig.…”

Section: Selection For Placements Of the Sensorsmentioning

confidence: 99%

Measurement of horses gaits using geo-sensors

Qin

Björsell

2015

2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

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Measurement of horses gaits using geo-sensors PrefaceThis project was mainly related to the Signal Processing in terms of me, although it had some overlaps with the animal science. I found this project from the Prof. Niclas Björsell, he is my supervisor, so first I would like to thank him, he gave me many useful suggestions on the project plan, methods for analysis, and the report. The project was actually conducted by Mr.Bengt Julin from the Future Position X (FPX) in Teknik Parken of Gävle, he made great efforts on this project, coordinated the time of different people and arranged the measurements, also thanks for his hard work. Prof. Lars Roepstorff from the Swedish University of Agricultural Sciences in Uppsala is the expert of horses, he attended the measurement, and gave many professional recommendations on the measurement set-up and photographed the horse with his camera. Miss. Camilla Alsen and her colleagues from the Gävletravet gave great support to this project, and they provided the horse and the track. I am very appreciating for the support and understanding from all of them.There is one thing I should mention, since this project contains some secrets, so no appendices will be put in the end. Measurement of horses gaits using geo-sensors AbstractThe aim of this thesis is to determine the horse's gait types using the acceleration values measured from the horse. A measurement was taken in Gävletravet, a total of five Nanotrak sensors were used, four on the different parts of the horse, and one on the hand of the horse's driver, a car was driven parallel to the horse and the motions of the horse was recorded by a camera in order to synchronize with the data measured by the sensors, a total of four videos were recorded. The software to process the data was Matlab R2010b, and the methods to analyze them were Fast Fourier Transform (FFT), Short Time Fourier Transform (STFT), and Least Squares (LS). Different window functions were tried when applying the STFT, and the Hanning window was the best to smooth the curves, different window sizes (or data length)were also tried, the data length of 512 was found to be the most proper value. The methods for classification of horse's gaits included amplitude, ratio, and LS. The method of amplitude worked well for the first three videos except for the last one, and performed better than the other two. The method of ratio was more reliable, but the results were not satisfactory. The method of LS gave bad results, so it was not trustworthy. More measurements and more analysis needed to be done in the future to find a proper way to automatic determine the horse's gaits, and the use of modern technology will be very popular in other fields like animal science.

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“…Bias and limits of agreement (Bland and Altman, 1986) were established with respect to a validated system based on multiple synchronized 6-DoF IMUs (MTx, Xsens, The Netherlands, Pfau et al, 2005, 2007, Warner et al, 2010, Starke et al, 2012a, 2012c). …”

Section: Introductionmentioning

confidence: 99%

Is a standalone inertial measurement unit accurate and precise enough for quantification of movement symmetry in the horse?

Brighton

Olsen

Pfau

2013

Computer Methods in Biomechanics and Biomedical Engineering

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Vertical head and trunk movement adaptations of sound horses trotting in a circle on a hard surface

Cited by 79 publications

References 22 publications

Understanding hind limb lameness signs in horses using simple rigid body mechanics

Understanding hind limb lameness signs in horses using simple rigid body mechanics

Measurement of horses gaits using geo-sensors

Is a standalone inertial measurement unit accurate and precise enough for quantification of movement symmetry in the horse?

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