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Validation of an Equine Smart Textile System for Heart Rate Variability: A Preliminary Study.

Persephone McCraeHannah SpongNadia GolestaniAmin MahnamYana BashuraWendy Pearson
Published in: Animals : an open access journal from MDPI (2023)
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 ( r = 0.9993, p < 0.0001) and for HRV parameters (SDRR r = 0.8765, p < 0.0001; TI r = 0.8712, p < 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.
Keyphrases
  • heart rate variability
  • heart rate
  • blood pressure
  • physical activity
  • high intensity
  • wastewater treatment
  • multiple sclerosis
  • resistance training
  • machine learning
  • ms ms
  • electronic health record
  • big data
  • data analysis