ArticlePhysiological reports2023
The effectiveness of time domain and nonlinear heart rate variability metrics in ultra-short time series.
Article in Physiological reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Differential Cardiac and Peripheral Vascular Low-Frequency Oscillation Responses to Voluntary Breath-Hold.Life (Basel, Switzerland) · 2026Article
- Integrated brain and body mechanisms underlying acute stress and trauma-related vulnerability.Neurobiology of stress · 2026Article
- Environmental conditions and cardiac autonomic function during an Antarctic summer expedition at James Ross Island.Scientific reports · 2026Article
- SOFA score combined with heart rate variability predicts in-hospital mortality in patients with intra-abdominal hypertension: a retrospective study.BMC medical informatics and decision making · 2026Article
- Identification of Stress Location During Low-Speed Mobility Travel Using Environmental Data.Sensors (Basel, Switzerland) · 2026Article
- ECG-derived Poincaré plot graphical metrics for differentiating axillary lymph node metastasis in breast cancer.Frontiers in physiology · 2026Article
- The effectiveness of time domain and nonlinear heart rate variability metrics in ultra-short time series.Physiological reports · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ultra short-term (UST) heart rate variability (HRV) has been used to establish normative HRV values. This study aims to investigate whether HRV metrics can capture changes in HRV from external stimuli, and whether these metrics remain effective under various recording length. Participants completed varying stimulating activities including viewing images, arithmetic tasks, and memory recall of viewed images. SDNN, RMSSD, pNN50, SD2, SD1/SD2, and DFA were extracted from the data. Comparing arithmetic calculation and the first minute of memory recall, SDNN, pNN50, SD2, and SD1/SD2 had significant HRV differences; this suggests that these metrics can distinguish the inherently different stimuli participants were exposed to. However, comparing first minute of viewing with that of the second, SDNN, pNN50, and SD2, presented some significant HRV differences during two inherently similar stimuli. Comparing the first 60-120 s during viewing, SDNN, pNN50, and SD2 also presented significant differences. Our results suggest that SDNN, pNN50, and SD2 may not be robust in evaluating UST HRVs in replacement of the standard short-term HRV. It may be beneficial to analyze multiple HRV metrics, particularly SD1/SD2, to achieve a more holistic understanding of the underlying physiology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.