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Author  |
Guidi, A.; Lanata, A.; Valenza, G.; Scilingo, E.P.; Baragli, P. | ||||
| Title | Validation of smart textile electrodes for electrocardiogram monitoring in free-moving horses | Type | Journal Article | ||
| Year | 2017 | Publication | Journal of Veterinary Behavior: Clinical Applications and Research | Abbreviated Journal | J. Vet. Behav. |
| Volume | 17 | Issue | Pages | 19-23 | |
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| Abstract | This article focuses on the validation of smart textile electrodes used to acquire electrocardiogram (ECG) signals in horses in a comfortable and robust manner. The performance of smart textile electrodes is compared with standard Ag/AgCl electrodes in terms of the percentage of motion artifacts (MAs, the noise that results from the movement of electrodes against the skin) and signal quality. Seven healthy Standardbred mares were equipped with 2 identical electronic systems for the simultaneous collection of ECGs. One system was equipped with smart textile electrodes, whereas the second was equipped with standard Ag/AgCl electrodes. Each horse was then monitored individually in a stall for 1 hour, without any movement constraints. The ECGs were visually examined by an expert who blindly labeled the ECG segments that had been corrupted by MAs. Finally, the percentage of MAs (MA%) was computed as the number of samples of the corrupted segments over the whole length of the signal. The total MA% was found to be lower for the smart textiles than for the Ag/AgCl electrodes. Consistent results were also obtained by investigating MAs over time. These results suggest that smart textile electrodes are more reliable when recording artifact-free ECGs in horses at rest. Thus, improving the acquisition of important physiological information related to the activity of the autonomic nervous system, such as heart rate variability, could help to provide reliable information on the mood and state of arousal of horses. | ||||
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| Corporate Author | Thesis | ||||
| Publisher | Elsevier | Place of Publication | Editor | ||
| Language | Summary Language | Original Title | |||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 1558-7878 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | doi: 10.1016/j.jveb.2016.10.001 | Approved | no | ||
| Call Number | Equine Behaviour @ team @ | Serial | 6213 | ||
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| Author |
Lanata, A.; Guidi, A.; Valenza, G.; Baragli, P.; Scilingo, E. P. | ||||
| Title | The Role of Nonlinear Coupling in Human-Horse Interaction: a Preliminary Study | Type | Conference Article | ||
| Year | 2017 | Publication | 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | Abbreviated Journal | EMBC |
| Volume | Issue | Pages | |||
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| Abstract | This study focuses on the analysis of humanhorse dynamic interaction using cardiovascular information exclusively. Specifically, the Information Theoretic Learning (ITL) approach has been applied to a Human-Horse Interaction paradigm, therefore accounting for the nonlinear information of the heart-heart interplay between humans and horses. Heartbeat dynamics was gathered from humans and horses during three experimental conditions: absence of interaction, visual-olfactory interaction, and brooming. Cross Information Potential, Cross Correntropy, and Correntropy Coefficient were computed to quantitatively estimate nonlinear coupling in a group of eleven subjects and one horse. Results showed a statistical significant difference on all of the three interaction phases. Furthermore, a Support Vector Machine classifier recognized the three conditions with an accuracy of 90:9%. These preliminary and encouraging results suggest that ITL analysis provides viable metrics for the quantitative evaluation of human-horse interaction. |
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| Notes | Approved | no | |||
| Call Number | Equine Behaviour @ team @ | Serial | 6176 | ||
| Permanent link to this record | |||||