Institute for Sport and Health, School of Public Health, Physiotherapy and Sport Science, University College Dublin, Dublin, Ireland.
Section Veterinary Clinical Sciences, School of Veterinary Medicine, University College Dublin, Dublin, Ireland.
Equine Vet J. 2019 Nov;51(6):813-824. doi: 10.1111/evj.13076. Epub 2019 Feb 3.
Since Muybridge's 'horse in motion', researchers in the equine movement analysis field continue to improve objective analysis and performance monitoring while ensuring representative data capture. However, subjective evaluation remains the primary method of equine gait analysis in the applied setting, despite evidence highlighting the unreliability of this approach.
To map research trends, limitations and opportunities across the diverse equine gait analysis literature.
Joanna Briggs Institute and Cochrane systematic scoping review.
Search terms were chosen based on the 'PICO' framework and included keywords such as: Equine, Gait, Kinematics and Analysis. Studies were excluded based on predetermined criteria by two independent researchers. Data were extracted from 510 articles from 1978 to 2018.
Insights derived from movement analysis appear to be driven by tool availability. Observational research (42.9%) was the most popular study design. Use of wearable technology as a primary research tool is established within the field, accounting for 13.5% of studies. Analysis of limitations identified 17.8% of studies citing challenges to the transferability of research results. Restricted sample size appears to be an underlying contributor to many of the limitations identified. In terms of research opportunities, advances in intervention studies were called for (10.4% of studies) in the following three areas; clinical, rehabilitative exercise and performance/training.
This review was confined to research in the English language.
Standardised research reporting may alleviate sample size issues by facilitating data pooling, database creation and meta-analyses. Large holistic data collections and application frameworks based on wearable technologies are not reflected in the current equine gait analysis literature and thus represent an interesting opportunity for this field. Progress and lessons learned from the human field of movement analysis can be useful in supporting this potential development.
自迈布里奇的“运动中的马”以来，马运动分析领域的研究人员在确保代表性数据采集的同时，不断改进客观分析和性能监测。然而，尽管有证据表明这种方法不可靠，主观评估仍然是应用环境中马步态分析的主要方法。
绘制马步态分析文献中多样化研究趋势、局限性和机遇的图谱。
乔安娜·布里格斯研究所和科克系统范围评价。
根据“PICO”框架选择搜索词，包括“马”、“步态”、“运动学”和“分析”等关键词。根据两位独立研究人员预先确定的标准排除研究。从 1978 年至 2018 年的 510 篇文章中提取数据。
运动分析得出的见解似乎取决于工具的可用性。观察性研究（42.9%）是最受欢迎的研究设计。可穿戴技术作为主要研究工具已在该领域得到应用，占研究的 13.5%。对局限性的分析确定了 17.8%的研究报告存在研究结果可转移性方面的挑战。研究人员认为，样本量有限似乎是许多已确定局限性的根本原因。在研究机会方面，呼吁在临床、康复运动和性能/训练这三个领域开展干预研究（占研究的 10.4%）。
本综述仅限于英文文献中的研究。
标准化的研究报告可以通过促进数据汇总、数据库创建和荟萃分析来缓解样本量问题。大型整体数据收集和基于可穿戴技术的应用框架在当前的马步态分析文献中并未体现，因此这是该领域的一个有趣机会。人类运动分析领域的进展和经验教训可能对支持这一潜在发展有用。
