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一种用于监测绵羊心率变异性的新型智能纺织品生物技术的验证。

Validation of a new smart textiles biotechnology for heart rate variability monitoring in sheep.

作者信息

Turini Luca, Bonelli Francesca, Lanatà Antonio, Vitale Valentina, Nocera Irene, Sgorbini Micaela, Mele Marcello

机构信息

Dipartimento di Scienze Agrarie, Alimentari, Agro-ambientali, University of Pisa, Pisa, Italy.

Centro di Ricerche Agro-Ambientali "E. Avanzi", University of Pisa, Pisa, Italy.

出版信息

Front Vet Sci. 2022 Nov 22;9:1018213. doi: 10.3389/fvets.2022.1018213. eCollection 2022.

Abstract

Robust Animal-Based Measures (ABMs) are fundamental in order to assess animal welfare, however in semi-extensive sheep farming systems is not easy to collect ABMs without inducing additional stress in the animals. Heart rate variability (HRV) is a non-invasive technique of assessing stress levels related to animal welfare. It is considered a sensitive indicator of the functional regulatory characteristics of the autonomic nervous system. Several studies investigated the use of HRV for welfare assessment in dairy cows while research on sheep is scarce. Moreover, assessing HRV in small ruminants at pasture is critical because of the lack of a solution adoptable for field conditions. This study aimed to evaluate if a smart textiles technology is comparable to a Standard base-apex electrocardiogram (ECG) for measuring HRV in small ruminants. Eight healthy Massese dairy sheep were recruited. Standard base-apex ECG and smart textiles technology (Smartex ECG) were simultaneously acquired for 5 min in the standing, unsedated, unclipped sheep. The ECG tracings were recorded when animals were standing quietly. The Bland-Altman test and the linear regression analysis were applied after parameter extraction in time, frequency, and non-linear methods to compare Smartex against standard base-apex ECG systems. The Bland-Altman test was applied to all HRV extracted parameters (Mean RR, pNN50, RMSSD, LF/HF, SampEn, SD1, SD2, stdRR) to evaluate the agreement between the two different instruments, and a linear regression analysis was performed to evaluate the relationship between the two methods. The smart textiles biotechnology was simple to wear and clean. It can be worn without using glue and without shaving the sheep's wool, limiting animal handling and stress. Bland Altman test reported a robust agreement between the two systems. In fact, the regression analysis of HRV parameters showed that half of the parameters recorded had an R2 coefficient >0.75. Results also showed a very small reproducibility coefficient that indicated that the two methods were really close to each other. Smartex textiles technology can be used for HRV evaluation in sheep species as a potential ABM for animal welfare assessment.

摘要

可靠的基于动物的测量方法(ABMs)对于评估动物福利至关重要,然而在半粗放式养羊系统中,在不给动物带来额外压力的情况下收集ABMs并非易事。心率变异性(HRV)是一种评估与动物福利相关的应激水平的非侵入性技术。它被认为是自主神经系统功能调节特征的敏感指标。多项研究调查了HRV在奶牛福利评估中的应用,而关于绵羊的研究较少。此外,由于缺乏适用于野外条件的解决方案,在牧场的小型反刍动物中评估HRV至关重要。本研究旨在评估智能纺织品技术与标准基尖心电图(ECG)在测量小型反刍动物HRV方面是否具有可比性。招募了八只健康的马塞塞奶羊。在站立、未镇静、未剪毛的羊身上同时采集标准基尖ECG和智能纺织品技术(Smartex ECG)5分钟。当动物安静站立时记录心电图描记。在对时间、频率和非线性方法提取的参数进行比较后,应用Bland-Altman检验和线性回归分析,将Smartex与标准基尖ECG系统进行比较。对所有提取的HRV参数(平均RR、pNN50、RMSSD、LF/HF、SampEn、SD1、SD2、stdRR)应用Bland-Altman检验来评估两种不同仪器之间的一致性,并进行线性回归分析以评估两种方法之间的关系。智能纺织品生物技术易于穿戴和清洁。无需使用胶水且无需剃羊毛即可穿戴,减少了对动物的处理和应激。Bland Altman检验表明两种系统之间具有很强的一致性。事实上,HRV参数的回归分析表明,记录的参数中有一半的R2系数>0.75。结果还显示了非常小的重复性系数,表明两种方法非常接近。Smartex纺织品技术可用于绵羊物种的HRV评估,作为动物福利评估潜在的ABM。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6005/9722759/4c10a44831fe/fvets-09-1018213-g0001.jpg

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