Schumann Andy, Lukas Franziska, Rieger Katrin, Gupta Yubraj, Bär Karl-Jürgen
Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany.
Sci Data. 2025 Jan 3;12(1):12. doi: 10.1038/s41597-024-04303-y.
Heart rate variability (HRV) is a key indicator of cardiac autonomic function, making reliable assessment crucial. To examine the test-retest stability of resting HRV in healthy individuals, fifty participants attended two lab sessions within a week, at the same time of day. After a 5-minute acclimatization period, electrocardiogram and respiration were recorded at rest. For validation, average heart rate and RMSSD were assessed over 15 minutes using a validated open-source toolbox. Test-retest agreement was evaluated using intra-class correlation (ICC), and coefficients of variation (CV). Mean heart rate showed high stability (ICC = 0.81, CV = 6%), while RMSSD had lower concordance (ICC = 0.75) and greater variation (CV = 30%). These findings indicate good test-retest agreement for standard HRV features. However, a wide range of methodologies exists for assessing various properties of heart rate dynamics. This database is intended to support other researchers in testing additional HRV metrics to evaluate their reliability in healthy individuals.
心率变异性（HRV）是心脏自主神经功能的关键指标，因此进行可靠评估至关重要。为了检验健康个体静息HRV的重测稳定性，50名参与者在一周内于同一天的同一时间参加了两次实验室测试。经过5分钟的适应期后，记录静息状态下的心电图和呼吸情况。为进行验证，使用经过验证的开源工具箱在15分钟内评估平均心率和RMSSD。使用组内相关系数（ICC）和变异系数（CV）评估重测一致性。平均心率显示出较高的稳定性（ICC = 0.81，CV = 6%），而RMSSD的一致性较低（ICC = 0.75）且变异较大（CV = 30%）。这些发现表明标准HRV特征具有良好的重测一致性。然而，存在多种方法用于评估心率动态的各种属性。该数据库旨在支持其他研究人员测试额外的HRV指标，以评估其在健康个体中的可靠性。
