Reinstein Rainer da Silva, Pozzobon Franciéli Mallmann, Caye Pâmela, Paraguassú Amanda Oliveira, Socolhoski Brenda Viviane Götz, Schiefler Otávio Henrique de Melo, Pozzobon Ricardo, Müller Daniel Curvello de Mendonça, Brun Maurício Veloso
Postgraduate Program in Veterinary Medicine, Center for Rural Sciences, Federal University of Santa Maria, Santa Maria, Brazil.
Department of Large Animal Clinic, Rural Science Center, Federal University of Santa Maria, Santa Maria, Brazil.
Front Vet Sci. 2025 Apr 30;12:1551341. doi: 10.3389/fvets.2025.1551341. eCollection 2025.
The analysis of canine locomotion has significantly advanced over the past few decades with the advent of technologies that enable more precise measurements. Traditional methods, such as force platforms and three-dimensional kinematic systems, though accurate, are often costly and require specialized equipment, limiting their broader application. This study aims to evaluate an alternative approach using a single triaxial accelerometer positioned in different anatomical regions (neck, sternum, pelvis, and right knee) to analyze gait patterns in healthy dogs.
Twenty-four clinically healthy dogs were used, divided into two groups based on body weight: ≤ 15 kg (G-15) and >15 kg (G+15). A wireless triaxial accelerometer sensor was utilized. Acceleration data were collected during walking and trotting in different anatomical positions: neck, sternum, pelvis, and right knee. The data were processed using Fourier analysis to extract harmonic frequencies and analyzed for acceleration peaks and autocorrelation to assess gait symmetry.
The findings showed that larger and heavier dogs (G+15) exhibited lower movement frequencies and more stable patterns, especially during trotting, while smaller and lighter dogs (G-15) demonstrated higher frequencies and greater variability. Significant differences in acceleration peaks were observed between body regions, with the pelvis and knee showing the highest values. However, harmonic frequencies did not vary significantly between the different anatomical regions. The autocorrelation analysis revealed that, in larger dogs, the sternum and pelvis regions presented greater consistency, indicating enhanced stability during locomotion.
These findings suggest that using a single accelerometer in different body regions is a practical and effective methodology for gait analysis in dogs, allowing the identification of locomotion differences among dogs of varying sizes and movement phases. This approach offers an accurate alternative for veterinary biomechanical studies, with potential clinical applications in the diagnosis and monitoring of gait abnormalities. The use of a single triaxial accelerometer proved effective for canine gait analysis, revealing differences by body weight. The sternum and pelvis are ideal monitoring regions, suggesting applications in biomechanical and clinical studies.
随着能够实现更精确测量的技术的出现,在过去几十年里犬类运动分析有了显著进展。传统方法,如测力平台和三维运动学系统,虽然准确,但往往成本高昂且需要专门设备,限制了它们的更广泛应用。本研究旨在评估一种替代方法,即使用单个三轴加速度计放置在不同解剖区域(颈部、胸骨、骨盆和右膝)来分析健康犬的步态模式。
使用了24只临床健康的犬,根据体重分为两组:≤15千克(G - 15组)和>15千克(G + 15组)。使用了无线三轴加速度计传感器。在不同解剖位置(颈部、胸骨、骨盆和右膝)行走和小跑期间收集加速度数据。使用傅里叶分析处理数据以提取谐波频率,并分析加速度峰值和自相关以评估步态对称性。
研究结果表明,体型较大且较重的犬(G + 15组)表现出较低的运动频率和更稳定的模式,尤其是在小跑时,而体型较小且较轻的犬(G - 15组)表现出较高的频率和更大的变异性。在身体区域之间观察到加速度峰值存在显著差异,骨盆和膝盖处的值最高。然而,不同解剖区域之间的谐波频率没有显著变化。自相关分析表明,在体型较大的犬中,胸骨和骨盆区域表现出更大的一致性,表明运动过程中稳定性增强。
这些发现表明,在不同身体区域使用单个加速度计是犬类步态分析的一种实用且有效的方法,能够识别不同体型犬和运动阶段之间的运动差异。这种方法为兽医生物力学研究提供了一种准确的替代方法,在步态异常的诊断和监测方面具有潜在的临床应用。使用单个三轴加速度计被证明对犬类步态分析有效,揭示了体重差异。胸骨和骨盆是理想的监测区域,表明在生物力学和临床研究中的应用价值。