ReviewInternational journal of biological sciences2017
Complexity Change in Cardiovascular Disease.
Review in International journal of biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Multicomponent exercise training in cardiovascular complexity in prefrail older adults: a randomized blinded clinical pilot study.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021Trial
- Autonomic impairment in advanced heart-failure patients revealed by nonlinear heart rate variability measured during exercise.Scientific reports · 2026Article
- Temporal Properties of Cardiorespiratory Coupling in Patients with Heart Failure During the Circadian Cycle.Entropy (Basel, Switzerland) · 2026Article
- Cardiovascular Entropy and Mortality Prediction in Hemodialysis Patients.Journal of clinical medicine · 2026Article
- Associations between body composition and autonomic cardiorespiratory modulation in young adults.Physiological reports · 2026Article
- The complexity of glucose time series is associated with short- and long-term mortality in critically ill adults: a multi-center, prospective, observational study.Journal of endocrinological investigation · 2024Observational
- RespirAnalyzer: an R package for analyzing data from continuous monitoring of respiratory signals.Bioinformatics advances · 2024Article
- Tablet-Based Wearable Patch Sensor Design for Continuous Cardiovascular System Monitoring in Postoperative Settings.Biosensors · 2023Article
- Sample, Fuzzy and Distribution Entropies of Heart Rate Variability: What Do They Tell Us on Cardiovascular Complexity?Entropy (Basel, Switzerland) · 2023Article
- Cardioautonomic lability assessed by heart rate variability changes in Royal Canadian Mounted Police cadets during the cadet training program.Frontiers in psychology · 2023Article
- On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI.Entropy (Basel, Switzerland) · 2022Article
- A Flexible, Wearable, and Wireless Biosensor Patch with Internet of Medical Things Applications.Biosensors · 2022Article
- Prognostic values of modifiable risk factors for cardiovascular events in South African health promotion.PloS one · 2022Article
- On Entropy of Probability Integral Transformed Time Series.Entropy (Basel, Switzerland) · 2020Article
- Dynamic properties of glucose complexity during the course of critical illness: a pilot study.Journal of clinical monitoring and computing · 2020Observational
- Application of Time-Scale Decomposition of Entropy for Eye Movement Analysis.Entropy (Basel, Switzerland) · 2020Article
- Causal Link between Ventricular Ectopy and Concussion.Case reports in medicine · 2020Article
- Impact of chronic obstructive pulmonary disease on linear and nonlinear dynamics of heart rate variability in patients with heart failure.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2020Article
- Article
- Complexity-Based Decoding of the Coupling Among Heart Rate Variability (HRV) and Walking Path.Frontiers in physiology · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the fast development of wearable medical device in recent years, it becomes critical to conduct research on continuously measured physiological signals. Entropy is a key metric for quantifying the irregularity and/or complexity contained in human physiological signals. In this review, we focus on exploring how entropy changes in various physiological signals in cardiovascular diseases. Our review concludes that the direction of entropy change relies on the physiological signals under investigation. For heart rate variability and pulse index, the entropy of a healthy person is higher than that of a patient with cardiovascular diseases. For diastolic period variability and diastolic heart sound, the direction of entropy change is reversed. Our conclusion should not only give valuable guidance for further research on the application of entropy in cardiovascular diseases but also provide a foundation for using entropy to analyze the irregularity and/or complexity of physiological signals measured by wearable medical device.
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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.