The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Assessing the complexity of short-term heartbeat interval series by distribution entropy
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C.-K., & Stanley, H. E. (2000) · Circulation · doi:10.1161/01.cir.101.23.e215 · Cited by 14,809
Physiological time-series analysis using approximate entropy and sample entropy
Richman, J. S., & Moorman, J. R. (2000) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.2000.278.6.h2039 · Cited by 7,880
Approximate entropy as a measure of system complexity.
Pincus, S. M. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.6.2297 · Cited by 5,811
Permutation Entropy: A Natural Complexity Measure for Time Series
Bandt, C., & Pompe, B. (2002) · Physical Review Letters · doi:10.1103/physrevlett.88.174102 · Cited by 4,867
Testing for nonlinearity in time series: the method of surrogate data
Theiler, J., Eubank, S., Longtin, A., Galdrikian, B., & Doyne Farmer, J. (1992) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(92)90102-s · Cited by 3,732
Multiscale Entropy Analysis of Complex Physiologic Time Series
Costa, M., Goldberger, A. L., & Peng, C.-K. (2002) · Physical Review Letters · doi:10.1103/physrevlett.89.068102 · Cited by 3,207
Multiscale entropy analysis of biological signals
Costa, M., Goldberger, A. L., & Peng, C.-K. (2005) · Physical Review E · doi:10.1103/physreve.71.021906 · Cited by 2,482
Loss of 'Complexity' and Aging: Potential Applications of Fractals and Chaos Theory to Senescence
Lipsitz, L. A. (1992) · JAMA · doi:10.1001/jama.1992.03480130122036 · Cited by 1,256
An advanced detrending method with application to HRV analysis
Tarvainen, M. P., Ranta-aho, P. O., & Karjalainen, P. A. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.979357 · Cited by 1,131
The Appropriate Use of Approximate Entropy and Sample Entropy with Short Data Sets
Yentes, J. M., Hunt, N., Schmid, K. K., Kaipust, J. P., McGrath, D., & Stergiou, N. (2013) · Annals of Biomedical Engineering · doi:10.1007/s10439-012-0668-3 · Cited by 893
Cited by
Multi-Scale Permutation Entropy for Audio Deepfake Detection
Wang, C., He, J., Yi, J., Tao, J., Zhang, C. Y., & Zhang, X. (2024) · ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp48485.2024.10448095 · Cited by 31
Metadata
- Authors
- Li, P., Liu, C., Li, K., Zheng, D., Liu, C., & Hou, Y.
- Venue
- Medical & Biological Engineering & Computing
- Published
- 2014-10-29
- Volume
- 53
- Issue
- 1
- Pages
- 77-87
- ISSN
- 0140-0118 (ISSN-L)
- 1741-0444
- OpenAlex
- W2070051876
- Cited by
- 260
- References
- 38
- FWCI
- 6.74
- Type
- journal article
- Language
- en
- Open access
- green
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Assessing the complexity of short-term heartbeat interval series by distribution entropy. https://app.cochat.ai/papers/10.1007/s11517-014-1216-0
- The paper
- Li, P., Liu, C., Li, K., Zheng, D., Liu, C., & Hou, Y. (2015). Assessing the complexity of short-term heartbeat interval series by distribution entropy. Medical & Biological Engineering & Computing. https://doi.org/10.1007/s11517-014-1216-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.