| Summary: | Objective To investigate the effect of different signal length during electrocardiography (ECG) on results of heart rate (HR)-corrected heart rate variability (HRV) analysis and explore the minimum time window of signal collection for accurate HRV analysis. Methods 24-hour electrocardiogram signal were collected from 116 normal controls and 72 hypertrophic cardiomyopathy (HCM) patients admitted in the First Affiliated Hospital of Army Medical University during May 2017 to November 2019. Nine commonly used HRV metrics in clinical practice were obtained by HR-corrected HRV analysis. The HRV results of 24-hour signal length served as reference standards, and then the accuracy and reliability of HRV results at a signal length of 5, 30 and 60 min were compared, respectively. Results In results of HR-corrected HRV analysis at 3 different signal lengths, all the 9 HRV metrics were significantly lower in the HCM patients than the normal controls (P<0.05). With the increment of the signal length, the correlation coefficient between short-term HRV results and 24 h HRV results was elevated gradually (P<0.05), as 0.36±0.22, 0.76±0.14, and 0.97±0.04 for the length of 5, 30 and 60 min, respectively, and the relative error between short-term HRV results and 24 h HRV results was reduced (P<0.05), as (28.09±22.96)%, (7.78±4.78)%, and (3.27±1.79)% for the 3 signal lengths, with an AUC value of 0.75±0.04, 0.87±0.08, and 0.89±0.08, respectively (P<0.05). Conclusion The accuracy of short-term HRV analysis is decreased with the shortening of signal length in assessment for risk of HCM patients. For HR-corrected HRV analysis, the minimum time window of signal collection is 60 min in order to obtain accurate HRV results.
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