One-week test-retest recordings of resting cardiorespiratory data for reliability analysis
Abstract 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-minut...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04303-y |
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| author | Andy Schumann Franziska Lukas Katrin Rieger Yubraj Gupta Karl-Jürgen Bär |
| author_facet | Andy Schumann Franziska Lukas Katrin Rieger Yubraj Gupta Karl-Jürgen Bär |
| author_sort | Andy Schumann |
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| description | Abstract 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. |
| format | Article |
| id | doaj-art-ae1d9b1c78a547fc8aa7ade2afb0b5a1 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-ae1d9b1c78a547fc8aa7ade2afb0b5a12025-01-05T12:08:18ZengNature PortfolioScientific Data2052-44632025-01-011211510.1038/s41597-024-04303-yOne-week test-retest recordings of resting cardiorespiratory data for reliability analysisAndy Schumann0Franziska Lukas1Katrin Rieger2Yubraj Gupta3Karl-Jürgen Bär4Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University HospitalLab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University HospitalLab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University HospitalLab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University HospitalLab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University HospitalAbstract 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.https://doi.org/10.1038/s41597-024-04303-y |
| spellingShingle | Andy Schumann Franziska Lukas Katrin Rieger Yubraj Gupta Karl-Jürgen Bär One-week test-retest recordings of resting cardiorespiratory data for reliability analysis Scientific Data |
| title | One-week test-retest recordings of resting cardiorespiratory data for reliability analysis |
| title_full | One-week test-retest recordings of resting cardiorespiratory data for reliability analysis |
| title_fullStr | One-week test-retest recordings of resting cardiorespiratory data for reliability analysis |
| title_full_unstemmed | One-week test-retest recordings of resting cardiorespiratory data for reliability analysis |
| title_short | One-week test-retest recordings of resting cardiorespiratory data for reliability analysis |
| title_sort | one week test retest recordings of resting cardiorespiratory data for reliability analysis |
| url | https://doi.org/10.1038/s41597-024-04303-y |
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