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可穿戴传感器被证明能专门量化犬类的瘙痒行为。

Wearable sensor shown to specifically quantify pruritic behaviors in dogs.

作者信息

Griffies Joel D, Zutty Jason, Sarzen Marcel, Soorholtz Stuart

机构信息

Animal Dermatology Clinic, Marietta, GA, USA.

Georgia Institute of Technology, Atlanta, GA, USA.

出版信息

BMC Vet Res. 2018 Apr 3;14(1):124. doi: 10.1186/s12917-018-1428-x.

DOI:10.1186/s12917-018-1428-x
PMID:29615019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5883579/
Abstract

BACKGROUND

Wearable technology is an exciting new field in humans and animals. In dogs activity monitors have helped to provide objective measurement tools where pet owner observation had been the only source of information. Previous research has focused on measuring overall activity versus rest. This has been relatively useful in determining changes in activity in orthopedic disease or post-surgical cases [Malek et al., BMC Vet Res 8:185, 2012, Yashari et al., BMC Vet Res 11:146, 2015]. Assessment of pruritus via changes in activity, however, requires an assumption that increased activity is due to scratching or other pruritic behaviors. This is an inaccurate method with obvious flaws as other behaviors may also register as greater activity. The objective of this study was to validate the ability of a multidimensional high frequency sensor and advanced computer analysis system, (Vetrax®, AgLogica Holdings, Inc., Norcross, GA, USA) to specifically identify pruritic behaviors (scratching and head shaking). To establish differences between behaviors, sensor and time stamped video data were collected from 361 normal and pruritic dogs. Video annotations were made by two observers independently, while blinded to sensor data, and then evaluated for agreement. Annotations that agreed between the two were used for further analysis. The annotations specified behaviors at specific times in order to compare with sensor data. A computer algorithm was developed to interpret and differentiate between these behaviors. Test subject data was then utilized to test and score the system's ability to accurately predict behaviors.

RESULTS

Results for prediction of head shaking behavior included sensitivity and specificity of 72.16% and 99.78% respectively. Analysis of scratching produced sensitivity and specificity of 76.85% and 99.73% respectively. These results illustrate the ability of the system to accurately report both scratching and head shaking with an overall accuracy of 99.24% and 99.56% respectively.

CONCLUSIONS

This study validates the use of this system to accurately and objectively report scratching and head shaking in dogs. While a small portion of scratching or head shaking behaviors may be missed, as indicated by the sensitivity, when detected, the confidence that these behaviors occurred is extremely high. These factors make this system a very useful tool for objective assessment of pruritus in clinical and research settings.

摘要

背景

可穿戴技术在人类和动物领域是一个令人兴奋的新领域。在犬类中,活动监测器有助于提供客观的测量工具,在此之前,宠物主人的观察一直是唯一的信息来源。先前的研究主要集中在测量总体活动与休息情况。这在确定骨科疾病或术后病例的活动变化方面相对有用[马利克等人,《BMC兽医研究》8:185,2012年;亚沙里等人,《BMC兽医研究》11:146,2015年]。然而,通过活动变化来评估瘙痒需要假设活动增加是由于抓挠或其他瘙痒行为所致。这是一种不准确的方法,存在明显缺陷,因为其他行为也可能被记录为活动增加。本研究的目的是验证一种多维高频传感器和先进计算机分析系统(Vetrax®,AgLogica控股公司,美国佐治亚州诺克罗斯)准确识别瘙痒行为(抓挠和摇头)的能力。为了确定不同行为之间的差异,从361只正常犬和瘙痒犬收集了传感器及带时间戳的视频数据。两名观察者在对传感器数据不知情的情况下独立进行视频标注,然后评估一致性。两人意见一致的标注用于进一步分析。标注指定了特定时间的行为,以便与传感器数据进行比较。开发了一种计算机算法来解释和区分这些行为。然后利用测试对象的数据来测试和评分该系统准确预测行为的能力。

结果

摇头行为预测的结果包括敏感性和特异性分别为72.16%和99.78%。抓挠行为分析的敏感性和特异性分别为76.85%和99.73%。这些结果表明该系统能够准确报告抓挠和摇头行为,总体准确率分别为99.24%和99.56%。

结论

本研究验证了该系统在准确、客观报告犬类抓挠和摇头行为方面的应用。虽然如敏感性所示,可能会遗漏一小部分抓挠或摇头行为,但一旦检测到,这些行为发生的可信度极高。这些因素使该系统成为临床和研究环境中客观评估瘙痒的非常有用的工具。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66ec/5883579/7617bdf507c2/12917_2018_1428_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66ec/5883579/974ef9b53eb2/12917_2018_1428_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66ec/5883579/ff5e88cc22eb/12917_2018_1428_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66ec/5883579/f9110cedce7a/12917_2018_1428_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66ec/5883579/3523c25f8ec7/12917_2018_1428_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66ec/5883579/d9e3491cde7d/12917_2018_1428_Fig7_HTML.jpg
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