Ultra-short heart rate variability recordings: Are they reliable for use with resting sows?

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ID: 333132
2026
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Abstract
The objective of this study was to determine whether ultra-short heart rate variability (US-HRV) datasets (30-, 60-, 120-, 180-, and 240-s) were comparable with short-term heart rate variability (ST-HRV) datasets (300 s) collected from individually- and group-housed inactive sows. A total of 62 ST-HRV datasets were collected from 32 inactive sows (parity: 3.2 ± 0.25 SE) while housed in individual farrowing stalls during the nursing period (i.e. baseline period; n = 26 datasets) and after reintroduction to group housing (i.e. post-mixing period; n = 36 datasets) within a commercial swine production environment. Each ST-HRV dataset was divided into ultra-short-term dataset lengths (30, 60, 120, 180, and 240 s), resulting in a total of 62 ST-HRV datasets and 310 US-HRV datasets. Average inter-beat interval length (RR), root mean square of successive differences (RMSSD), and standard deviation of RR intervals (SDNN) were calculated for each dataset. Short-term HRV datasets were then compared with their respective US-HRV datasets using Pearson correlations, Bland-Altman analyses, and Friedman tests of equality. Using the most stringent criteria, (i.e., Pearson > 0.9, Bland-Altman 5% difference threshold, Friedman test P > 0.05), RMSSD can be reliably estimated using 240 s of data. Alternatively, 180-s datasets provide reliable, but less robust, RMSSD results where the Bland-Altman 10% difference threshold is reached while maintaining a Pearson correlation coefficient above 0.9 and comparable Friedman test results (P > 0.05). No US-HRV dataset length was capable of producing comparable Friedman Test results for RR. Finally, no US-HRV dataset length was sufficient for SDNN to reach the Bland-Altman 5% difference threshold. However, the Bland-Altman 10% difference threshold, a Pearson correlation coefficient ≥ 0.9, and comparable SDNN Friedman Test results were obtained with 240 s of data.
Reference Key
openalex_W7223061753 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Christopher J. Byrd, J. M. Young, Dominique M. Sommer
Journal italian journal of animal science
Year 2026
DOI
10.1093/jas/skag337
URL
https://doi.org/10.1093/jas/skag337
Keywords Keywords not found

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