ArticleJournal of applied physiology (Bethesda, Md. : 1985)2012
A method for analyzing temporal patterns of variability of a time series from Poincare plots.
Article in Journal of applied physiology (Bethesda, Md. : 1985), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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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.
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Who cites it
34 citing papers in PubMed.
- Antioxidant Upregulation Contributes to Improvements in Diaphragm Function Following Cervical Spinal Cord Injury and Hyperbaric Oxygen Therapy.Antioxidants (Basel, Switzerland) · 2026Article
- Overview of Mathematical Relations Between Poincaré Plot Measures and Time and Frequency Domain Measures of Heart Rate Variability.Entropy (Basel, Switzerland) · 2025Article
- Leveraging intrinsic non-sinusoidal patterns to infer search behavior to predict exposure to respiratory stressors.American journal of physiology. Lung cellular and molecular physiology · 2025Article
- Heart rate variability parameters indicate altered autonomic tone in subjects with COVID-19.Scientific reports · 2024Article
- Nonlinear Dynamics Analysis of Handgrip Strength Using the Poincaré Plot Method Through Video Processing Techniques.Journal of functional morphology and kinesiology · 2024Article
- Examination of Cardiac Activity with ECG Monitoring Using Heart Rate Variability Methods.Diagnostics (Basel, Switzerland) · 2024Article
- Understanding daily rhythms in weakly electric fish: the role of melatonin on the electric behavior of Brachyhypopomus gauderio.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2024Article
- The Constrained Disorder Principle Accounts for the Variability That Characterizes Breathing: A Method for Treating Chronic Respiratory Diseases and Improving Mechanical Ventilation.Advances in respiratory medicine · 2023Review
- Fractal complexity alternations in paroxysmal atrial fibrillation patients with and without recurrence after pulmonary vein isolation.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2023Article
- P2X3 receptor antagonism attenuates the progression of heart failure.Nature communications · 2023Article
- Nonlinear Heart Rate Dynamics Before and After Paroxysmal Atrial Fibrillation Events.Acta Cardiologica Sinica · 2022Article
- Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion.Sensors (Basel, Switzerland) · 2022Article
- Heart Rate Variability Reveals Altered Autonomic Regulation in Response to Myocardial Infarction in Experimental Animals.Frontiers in cardiovascular medicine · 2022Article
- Multiparametric Investigation of Dynamics in Fetal Heart Rate Signals.Bioengineering (Basel, Switzerland) · 2021Article
- A Comprehensive Review of Techniques for Processing and Analyzing Fetal Heart Rate Signals.Sensors (Basel, Switzerland) · 2021Review
- The Applicability of the Poincaré Plot in the Analysis of Variability of Reaction Time during Serial Testing.International journal of environmental research and public health · 2021Observational
- Rhythm dynamics of the aging heart: an experimental study using conscious, restrained mice.American journal of physiology. Heart and circulatory physiology · 2020Article
- Hand grip strength variability during serial testing as an entropic biomarker of aging: a Poincaré plot analysis.BMC geriatrics · 2020Article
- Collection and Analysis of Multimodal Data for SUDEP Biomarker Discovery.IEEE sensors letters · 2019Article
- Increasing Local Excitability of Brainstem Respiratory Nuclei Reveals a Distributed Network Underlying Respiratory Motor Pattern Formation.Frontiers in physiology · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The Poincaré plot is a popular two-dimensional, time series analysis tool because of its intuitive display of dynamic system behavior. Poincaré plots have been used to visualize heart rate and respiratory pattern variabilities. However, conventional quantitative analysis relies primarily on statistical measurements of the cumulative distribution of points, making it difficult to interpret irregular or complex plots. Moreover, the plots are constructed to reflect highly correlated regions of the time series, reducing the amount of nonlinear information that is presented and thereby hiding potentially relevant features. We propose temporal Poincaré variability (TPV), a novel analysis methodology that uses standard techniques to quantify the temporal distribution of points and to detect nonlinear sources responsible for physiological variability. In addition, the analysis is applied across multiple time delays, yielding a richer insight into system dynamics than the traditional circle return plot. The method is applied to data sets of R-R intervals and to synthetic point process data extracted from the Lorenz time series. The results demonstrate that TPV complements the traditional analysis and can be applied more generally, including Poincaré plots with multiple clusters, and more consistently than the conventional measures and can address questions regarding potential structure underlying the variability of a data set.
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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.