McCrae Persephone, Spong Hannah, Golestani Nadia, Mahnam Amin, Bashura Yana, Pearson Wendy
Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Department of Research and Development, Myant Inc., Toronto, ON M9W 1B6, Canada.
Animals (Basel). 2023 Feb 1;13(3):512. doi: 10.3390/ani13030512.
Electrocardiograms (ECGs), and associated heart rate (HR) and heart rate variability (HRV) measurements, are essential in assessing equine cardiovascular health and fitness. Smart textiles have gained popularity, but limited validation work has been conducted. Therefore, the objective of this study was to compare HR and HRV data obtained using a smart textile system (Myant) to the gold-standard telemetric device (Televet). Simultaneous ECGs were obtained using both systems in seven horses at rest and during a submaximal exercise test. Bland-Altman tests were used to assess agreement between the two devices. Strong to perfect correlations without significant differences between the two devices were observed for all metrics assessed. During exercise, mean biases of 0.31 bpm (95% limits of agreement: -1.99 to 2.61) for HR, 1.43 ms (-11.48 to 14.33) for standard deviation of R-R intervals (SDRR), and 0.04 (-2.30 to 2.38) for the HRV triangular index (TI) were observed. A very strong correlation was found between the two devices for HR ( = 0.9993, < 0.0001) and for HRV parameters (SDRR = 0.8765, < 0.0001; TI = 0.8712, < 0.0001). This study demonstrates that a smart textile system is reliable for assessment of HR and HRV of horses at rest and during submaximal exercise.
心电图（ECGs）以及相关的心率（HR）和心率变异性（HRV）测量，对于评估马的心血管健康和体能至关重要。智能纺织品已受到广泛关注，但相关的验证工作有限。因此，本研究的目的是比较使用智能纺织品系统（Myant）和金标准遥测设备（Televet）获得的HR和HRV数据。在七匹马休息时和进行次最大运动试验期间，同时使用这两种系统获取心电图。采用Bland-Altman检验评估两种设备之间的一致性。对于所有评估指标，观察到两种设备之间具有强至完美的相关性，且无显著差异。在运动期间，HR的平均偏差为0.31次/分钟（95%一致性界限：-1.99至2.61），RR间期标准差（SDRR）的平均偏差为1.43毫秒（-11.48至14.33），HRV三角指数（TI）的平均偏差为0.04（-2.30至2.38）。两种设备在HR方面（ = 0.9993， < 0.0001）以及HRV参数方面（SDRR = 0.8765， < 0.0001；TI = 0.8712， < 0.0001）发现具有非常强的相关性。本研究表明，智能纺织品系统在评估马休息时和次最大运动期间的HR和HRV方面是可靠的。
