Why the study?
Researcher subjective decision-making during manual processing of short-term HRV recordings could produce inter- or intra-researcher differences whose magnitude had not been previously quantified across three independent human cohorts.
Does manual processing of short-term HRV recordings by different researchers or the same researcher affect the reproducibility of HRV parameters in different human cohorts?
Does manual processing of short-term HRV recordings by different researchers or the same researcher affect the reproducibility of HRV parameters in different human cohorts?
Manual processing of short-term HRV recordings should be performed by the same trained researcher to minimize variability, highlighting the need for automated ECG selection algorithms.
Answers are grounded in this paper and cite their sources.
Subjective HRV processing decisions introduce variability; leaves open need for standardized automated protocols before wider clinical or research adoption.
Heart rate variability (HRV) is a valid and non-invasive indicator of cardiac autonomic nervous system functioning. Short-term HRV recordings (e.g., 10 min long) produce data that usually is manually processed. Researcher subjective decision-making on data processing could produce inter- or intra-researcher differences whose magnitude has not been previously quantified in three independent human cohorts. This study examines the inter- and intra-researcher reproducibility of HRV parameters (i.e., the influence of R-R interval selection by different researchers and by the same researcher in different moments on the quantification of HRV parameters, respectively) derived from short-term recordings in a cohort of children with overweight/obesity, young adults and middle-age adults. Participants were recruited from 3 different studies: 107 children (10.03 ± 1.13 years, 58% male), 132 young adults (22.22 ± 2.20 years, 33% males) and 73 middle-aged adults (53.62 ± 5.18 years, 48% males). HRV was measured using a Polar RS800CX heart rate monitor. The intraclass correlation coefficient (ICC) ranged from 0.703 to 0.989 and from 0.950 to 0.998 for inter-and intra-researcher reproducibility, respectively. Limits of agreement for HRV parameters were higher for the inter-researcher processing compared with the intra-researcher processing. On average, the intra-researcher differences were 31%, 62%, and 80% smaller than the inter-researchers differences based on Coefficient of Variation in children, young and middle-aged adults, respectively. Our study provides the quantification of the inter-researcher and intra-researcher differences in three independent human cohorts, which could elicit some clinical relevant differences for HRV parameters. Based on our findings, we recommend the HRV data signal processing to be performed always by the same trained researcher and we postulate a development of algorithms for an automatic ECG selection.
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Plaza‐Florido et al. (2020) studied this question.
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