ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis.
Open accessAbstract
The importance of appropriate handling of artifacts in interbeat interval (IBI) data must not be underestimated. Even a single artifact may cause unreliable heart rate variability (HRV) results. Thus, a robust artifact detection algorithm and the option for manual intervention by the researcher form key components for confident HRV analysis. Here, we present ARTiiFACT, a software tool for processing electrocardiogram and IBI data. Both automated and manual artifact detection and correction are available in a graphical user interface. In addition, ARTiiFACT includes time- and frequency-based HRV analyses and descriptive statistics, thus offering the basic tools for HRV analysis. Notably, all program steps can be executed separately and allow for data export, thus offering high flexibility and interoperability with a whole range of applications.
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New softwares like gHRV and ARTiiFACT are in development and offer other analysis tools.
“New softwares like gHRV (Rodriguez-Linares et al., 2014), a package for the R statistical environment, and ARTiiFACT (Kaufmann et al., 2011) are in development and offer other analysis tools such as different analysis options, visualize and export the HRV data, as well as the possibility to edit the source code for gHRV.”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Kaufmann et al., 2011
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- Authors
- Kaufmann, T., Sütterlin, S., Schulz, S. M., & Vögele, C.
- Affiliations
- University of Würzburg (DE)
- University of Luxembourg (LU)
- Corresponding author
- Kaufmann, Tobias
- Venue
- Behavior Research Methods
- Published
- 2011-05-14
- Volume
- 43
- Issue
- 4
- Pages
- 1161-1170
- ISSN
- 1554-351X (ISSN-L)
- 1554-3528
- OpenAlex
- W2073800110
- Cited by
- 284
- References
- 28
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 23 · 2023: 21 · 2022: 28 · 2021: 24 · 2020: 32 · 2019: 32 · 2018: 19 · 2017: 24 · 2016: 23 · 2015: 15 · 2014: 13 · 2013: 6 · 2012: 1
- FWCI
- 5.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Behavior Research Methods (publishedVersion)
- PubMed (publishedVersion)
- Lirias (KU Leuven) (submittedVersion)
- Open Repository and Bibliography (University of Luxembourg) (submittedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- heart rate variability, artifact removal, graphical user interface software
- MeSH terms
- Algorithms, Heart Rate, Humans, Signal Processing, Computer-Assisted, Software, Electrocardiography, Ambulatory, Artifacts
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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