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步态守护者:一种测量犬步态的系统。

GaitKeeper: A System for Measuring Canine Gait.

机构信息

Centre for Behaviour and Evolution, Henry Wellcome Building, Newcastle University, Newcastle NE2 4HH, UK.

Centre for Behaviour and Evolution, Henry Wellcome Building, Newcastle University, Newcastle NE2 4HH, UK. J.O'

出版信息

Sensors (Basel). 2017 Feb 8;17(2):309. doi: 10.3390/s17020309.

Abstract

It is understood gait has the potential to be used as a window into neurodegenerative disorders, identify markers of subclinical pathology, inform diagnostic algorithms of disease progression and measure the efficacy of interventions. Dogs' gaits are frequently assessed in a veterinary setting to detect signs of lameness. Despite this, a reliable, affordable and objective method to assess lameness in dogs is lacking. Most described canine lameness assessments are subjective, unvalidated and at high risk of bias. This means reliable, early detection of canine gait abnormalities is challenging, which may have detrimental implications for dogs' welfare. In this paper, we draw from approaches and technologies used in human movement science and describe a system for objectively measuring temporal gait characteristics in dogs (step-time, swing-time, stance-time). Asymmetries and variabilities in these characteristics are of known clinical significance when assessing lameness but presently may only be assessed on coarse scales or under highly instrumented environments. The system consists an inertial measurement unit, containing a 3-axis accelerometer and gyroscope coupled with a standardized walking course. The measurement unit is attached to each leg of the dog under assessment before it is walked around the course. The data by the measurement unit is then processed to identify steps and subsequently, micro-gait characteristics. This method has been tested on a cohort of 19 healthy dogs of various breeds ranging in height from 34.2 cm to 84.9 cm. We report the system as capable of making precise step delineations with detections of initial and final contact times of foot-to-floor to a mean precision of 0.011 s and 0.048 s, respectively. Results are based on analysis of 12,678 foot falls and we report a sensitivity, positive predictive value and F-score of 0.81, 0.83 and 0.82 respectively. To investigate the effect of gait on system performance, the approach was tested in both walking and trotting with no significant performance deviation with 7249 steps reported for a walking gait and 4977 for a trotting gait. The number of steps reported for each leg were approximately equal and this consistency was true in both walking and trotting gaits. In the walking gait 1965, 1790, 1726 and 1768 steps were reported for the front left, front right, hind left and hind right legs respectively. 1361, 1250, 1176 and 1190 steps were reported for each of the four legs in the trotting gait. The proposed system is a pragmatic and precise solution for obtaining objective measurements of canine gait. With further development, it promises potential for a wide range of applications in both research and clinical practice.

摘要

步态有望成为了解神经退行性疾病的窗口,可以识别亚临床病理的标志物,为疾病进展的诊断算法提供信息,并衡量干预措施的效果。在兽医环境中,经常评估狗的步态以发现跛行迹象。尽管如此,仍然缺乏一种可靠、经济实惠且客观的方法来评估狗的跛行。大多数描述的犬跛行评估都是主观的、未经验证的,并且存在很高的偏倚风险。这意味着可靠地早期发现犬类步态异常具有挑战性,这可能对犬的福利产生不利影响。在本文中,我们借鉴了人类运动科学中使用的方法和技术,并描述了一种客观测量犬类时间步态特征的系统(步时、摆时、站立时)。在评估跛行时,这些特征的不对称性和可变性具有已知的临床意义,但目前可能只能在粗糙的尺度上或在高度仪器化的环境中进行评估。该系统由一个惯性测量单元组成,该单元包含一个三轴加速度计和陀螺仪,与一个标准化的步行道相结合。在狗被评估之前,将测量单元附着在狗的每条腿上,然后让狗在步行道上行走。然后,通过测量单元的数据来识别步骤,然后是微步态特征。该方法已经在 19 只不同品种、身高从 34.2 厘米到 84.9 厘米的健康犬中进行了测试。我们报告说,该系统能够精确地划分步骤,检测到脚与地面的初始和最终接触时间,平均精度分别为 0.011 秒和 0.048 秒。结果基于对 12678 次脚部下降的分析,我们报告的灵敏度、阳性预测值和 F 分数分别为 0.81、0.83 和 0.82。为了研究步态对系统性能的影响,该方法在行走和小跑两种步态下进行了测试,没有明显的性能偏差,报告的行走步态步数为 7249 步,小跑步态步数为 4977 步。每条腿报告的步数大致相等,这种一致性在行走和小跑步态中都是如此。在行走步态中,前脚的左腿、右腿、后腿的左腿和右腿分别报告了 1965、1790、1726 和 1768 步。在小跑步态中,每只脚分别报告了 1361、1250、1176 和 1190 步。该系统是一种实用且精确的解决方案,可用于获取犬类步态的客观测量值。随着进一步的发展,它有望在研究和临床实践中为广泛的应用提供潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7551/5335924/91076bd30650/sensors-17-00309-g001.jpg

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