Technology applications in bovine gait analysis: A scoping review

被引:11
|
作者
Nejati, Amir [1 ]
Bradtmueller, Anna [1 ]
Shepley, Elise [2 ]
Vasseur, Elsa [1 ]
机构
[1] McGill Univ, Dept Anim Sci, Sainte Anne De Bellevue, PQ, Canada
[2] Univ Minnesota, Dept Vet Populat Med, St Paul, MN USA
来源
PLOS ONE | 2023年 / 18卷 / 01期
基金
加拿大自然科学与工程研究理事会;
关键词
LAMENESS SCORING SYSTEM; GROUND REACTION FORCE; DAIRY-COWS; PRESSURE DISTRIBUTION; AUTOMATIC-MEASUREMENT; WEIGHT DISTRIBUTION; KINEMATIC MEASURES; FLOORING SYSTEMS; LOCOMOTION SCORE; DETECT LAMENESS;
D O I
10.1371/journal.pone.0266287
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Quantitative bovine gait analysis using technology has evolved significantly over the last two decades. However, subjective methods of gait assessment using visual locomotion scoring remain the primary on-farm and experimental approach. The objective of this review is to map research trends in quantitative bovine gait analysis and to explore the technologies that have been utilized to measure biomechanical parameters of gait. A scoping literature review was conducted according to PRISMA guidelines. A search algorithm based on PICO framework generated three components-bovine, gait, and technology-to address our objectives. Three online databases were searched for original work published from January 2000 to June 2020. A two-step screening process was then conducted, starting with the review of article titles and abstracts based on inclusion criteria. A remaining 125 articles then underwent a full-text assessment, resulting in 82 final articles. Thematic analysis of research aims resulted in four major themes among the studies: gait/claw biomechanics, lameness detection, intervention/comparison, and system development. Of the 4 themes, lameness detection (55% of studies) was the most common reason for technology use. Within the literature identified three main technologies were used: force and pressure platforms (FPP), vision-based systems (VB), and accelerometers. FPP were the first and most popular technologies to evaluate bovine gait and were used in 58.5% of studies. They include force platforms, pressure mapping systems, and weight distribution platforms. The second most applied technology was VB (34.1% of studies), which predominately consists of video analysis and image processing systems. Accelerometers, another technological method to measure gait characteristics, were used in 14.6% of studies. In sum, the strong demand for automatic lameness detection influenced the path of development for quantitative gait analysis technologies. Among emergent technologies, deep learning and wearable sensors (e.g., accelerometers) appear to be the most promising options. However, although progress has been made, more research is needed to develop more accurate, practical, and user-friendly technologies.
引用
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页数:27
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