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马步态运动学中的节律类别。

Rhythmic categories in horse gait kinematics.

作者信息

Laffi Lia, Bigand Félix, Peham Christian, Novembre Giacomo, Gamba Marco, Ravignani Andrea

机构信息

Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.

Department of Life Sciences and Systems Biology, University of Torino, Turin, Italy.

出版信息

J Anat. 2025 Mar;246(3):456-465. doi: 10.1111/joa.14200. Epub 2025 Jan 15.

Abstract

Anecdotally, horses' gaits sound rhythmic. Are they really? In this study, we quantified the motor rhythmicity of horses across three different gaits (walk, trot, and canter). For the first time, we adopted quantitative tools from bioacoustics and music cognition to quantify locomotor rhythmicity. Specifically, we tested whether kinematics data contained rhythmic categories; these occur when adjacent temporal intervals are categorically, rather than randomly, distributed. We extracted the motion cycle duration (t) of two ipsilateral hooves from motion data of 13 ridden horses and calculated the ratios from two successive t values. We tested whether these ratios significantly fell within rhythmic categories and quantified how close they were to small-integer ratios, a rhythmic feature also present in animal vocalizations and human music. We found a strong isochronous pattern-a 1:1 rhythmic ratio, corresponding to the ticking of a clock-in the motion of single limbs for all gaits. We also analyzed the interlimb coordination of the two ipsilateral hooves' impacts to identify differences associated with the biomechanical patterns of the three gaits. We found an interlimb 1:1 rhythmic pattern for trot and 1:3 and 3:1 rhythmic categories for walk and canter. Our findings are a first step toward quantifying rhythmicity in horse locomotion and potentially the resulting rhythmic sounds, with possible implications as tools to detect gait irregularities. Overall, we show that rhythmic categories are a valuable tool for gait kinematic analysis and that they can be used to quantify temporal patterns in the motor domain.

摘要

据传闻,马的步态听起来有节奏。真的是这样吗?在本研究中,我们量化了马在三种不同步态(走、小跑和慢跑)中的运动节奏。我们首次采用生物声学和音乐认知的定量工具来量化运动节奏。具体而言,我们测试了运动学数据是否包含节奏类别;当相邻的时间间隔呈分类分布而非随机分布时,就会出现这些节奏类别。我们从13匹骑乘马的运动数据中提取了两个同侧蹄的运动周期时长(t),并计算了两个连续t值的比率。我们测试了这些比率是否显著落在节奏类别内,并量化了它们与小整数比率的接近程度,小整数比率是动物叫声和人类音乐中也存在的一种节奏特征。我们发现,在所有步态的单肢运动中都存在一种强烈的等时模式——1:1的节奏比率,类似于时钟的滴答声。我们还分析了两个同侧蹄撞击的肢体间协调性,以确定与三种步态的生物力学模式相关的差异。我们发现小跑存在肢体间1:1的节奏模式,而走和慢跑存在1:3和3:1的节奏类别。我们的研究结果是朝着量化马运动中的节奏以及潜在的由此产生的节奏声音迈出的第一步,这可能对检测步态异常的工具具有启示意义。总体而言,我们表明节奏类别是步态运动学分析的一种有价值的工具,并且可用于量化运动领域中的时间模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfd0/11828748/623cddd52d80/JOA-246-456-g001.jpg

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