Fractal mechanisms and heart rate dynamics

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From Accelerometer to Cognition: Hand Motion Can Reflect Effects of Cardiac Coherence on Cognitive Flexibility

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Nonlinear Dynamics of Infant Sitting Postural Control

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A hybrid two-stage approach for paroxysmal atrial fibrillation prognosis problem

Lynn, K., & Chiang, H. (2003) · Computers in cardiology · doi:10.1109/cic.2002.1166814 · Cited by 1

A Study on Impact of Alcohol Among Young Indian Population Using HRV Analysis

Mahesh Kumar, D., Prasanna Kumar, S. C., Sudarshan, B., & Yadhuraj, S. R. (2014) · International Journal of Computer Science Engineering and Information Technology · doi:10.5121/ijcseit.2014.4406 · Cited by 1

Interplay of transitions between oscillations with emergence of fireballs and quantification of phase coherence, scaling index in a magnetized glow discharge plasma in a toroidal assembly

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Using Optical IoT Sensing for Detrended Fluctuation Analysis of Skin Blood Pulsation during Visual Stimulation Task

Milivojević, M. S., Gavrovska, A. M., Reljin, I. S., & Reljin, B. D. (2019) · Telecommunications Forum (TELFOR) · doi:10.1109/telfor48224.2019.8971288 · Cited by 1

Supporting Self-Reflection in Everyday Life

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Fractal coordination in cognitive performances

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Rearfoot, mid/forefoot, and barefoot running: biomechanical differences related to injury

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Nonlinear trend removal should be carefully performed in heart rate variability analysisPreprint

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Nonlinear Analysis of Experimental Time Series

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Shlomo Havlin — List of publications

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Processing of Biological Signals: A Bridge Between Structure and Function

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Heart Rate Variability and Cardiovascular Dynamic Changes during Local Anesthesia

Kyriacou, P. A., & Shafqat, K. (2012) · CRC Press eBooks · doi:10.1201/b12756-16

Quantificação da complexidade do ritmo cardíaco usando o método da Multiscale Entropy

Pires, T. M. (2011) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)

ANALYSIS OF HRV TO STUDY THE EFFECTS OF TOBACCO ON ANS AMONG YOUNG INDIANS

Kumar, D. M., & Kumar, P. (2014)

Methods for extracting self-similarity properties from heart rate variability signal in normal and heart failure patients

Signorini, M. G., Bellotti, M., & Cerutti, S. (2003) · Computers in cardiology · doi:10.1109/cic.1999.826024

TEMPORAL STRUCTURE OF PEDALING CADENCE VARIABILITY DURING ROAD-BASED CYCLING

Rouffet, D., Taylor, S. B., & Stergiou, N. (2012) · ISBS - Conference Proceedings Archive

Analysis of Heart Rate Variability

Norris, P. R. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8008-2_4

Spectral and fractal structures of heart rate variability in coronary artery disease patients without myocardial infarction

Castiglioni, P., Rienzo, M. D., & Radaelli, A. (2015) · Computing in cardiology · doi:10.1109/cic.2015.7411025

Complexity of Continuous Glucose Monitoring Data in Critically Ill Patients: CGM Devices, Sensor Locations, and DFA Methods

Signal, M., Thomas, F., Shaw, G. M., & Chase, J. G. (2013) · UC Research Repository (University of Canterbury)

BIOMEDICAL SIGNAL PROCESSING AND MODELING: MULTISCALE AND MULTIORGAN INTEGRATION OF INFORMATION

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fractal analysis comparison of conventional and new measures based on Fractal and periodic heart rate dynamics in fetal sheep

Am, J., Yasui, T., Chisaka, H., Sugawara, J., Okamura, K., Koshino, T., Kimura, Y., Kameyama, Y., & Takahashi, T. (2016)

Heart Rate Variability in the Intensive Care Unit

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Filtering high resolution hyperspectral imagery and analyzing it for quantification of water quality parameters and aquatic vegetation

Pande-Chhetri, R. (2012)

Detrended fluctuation analysis of photoplethysmogram pulse rate intervals in sleep disordered breathing

Dehkordi, P., Garde, A., Karlen, W., Petersen, C. L., Ansermino, J. M., & Dumont, G. A. (2014) · IEEE Healthcare Innovation Conference (HIC) · doi:10.1109/hic.2014.7038940

Heart rate dynamics and clinical episodes of atrial fibrillation

Vikman, S. (2004) · Tampere University Institutional Repository (Tampere University)

Stealth Assessment of Self-Regulative Behaviors within a Game-Based Environment

Snow, E. L. (2014)

Bepaling van harttempovariasie ’n vergelyking tussen direkte bepaling vanaf V6 van die EKG en tyddomein frekwensiedomein en nielineêre analise

Grant, C. C., Becker, P., & Viljoen, M. (2006) · UpSpace Institutional Repository (University of Pretoria)

An Assessment of Fractal Characterization Methods for 1/f Processes with Application to the Analysis of Stride Interval Time Series

Schaefer, A. (2013) · D-Scholarship@Pitt (University of Pittsburgh)

Different Biometrics for Clinical Trials That Measure Volitional Control

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Enhanced EMD multiscale poincaré plots (EEMP) of heartbeat time series for visual analysis

Liang, J. (2018) · Youth Academic Annual Conference of Chinese Association of Automation (YAC) · doi:10.1109/yac.2018.8406351

Long memory estimation of stochastic volatility for index prices

Chen, K. C. (2017)

A INTERAÇÃO ANALITO-NANOPORO GERA UM PROCESSO ESTOCÁSTICO MARKOVIANO OU COM MEMÓRIA?

Machado, D. C., Carneiro, C. M. M., Consoni, L. H. A., Rodrigues, C. G., & Nogueira, R. A. (2019) · doi:10.5151/biofisica2019-03

Chaos based novel non-invasive approach to assess intracranial pressure in the brain using ECG and arterial BP data

Ghosh, D. C., Samanta, S., & Samanta, S. (2019) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2019.122036

A complexity measure for heart rate signals

He, J., Shang, P., & Wang, J. (2019) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2019.122054

Sleep Apnea Event Detection System Based on Heart Rate Variability Analysis

Sia, C. W., Khalil-Hani, M., Shaikh-Husin, N., & Boon, K. H. (2019) · Lecture notes in electrical engineering · doi:10.1007/978-981-13-1799-6_64

Does Attention Modify Contributions to Heaviness Perception?

Waddell, M. L., & Amazeen, E. L. (2019) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2019.1668519

Sex Differences in Heart Rate Nonlinearity by Multifractal Multiscale Detrended Fluctuation Analysis

Castiglioni, P., Lazzeroni, D., Coruzzi, P., & Faini, A. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9176704

Impact Of Lifestyles On Fractal Complexity Of College Students’ Daily Physical Activity

Marx, T. J. (2019) · UA Campus Repository (The University of Arizona)

Linear, Non-Linear and Wavelet Analysis of Cardiac Health Using Heart Rate Signals

Acharya, U. R., Kannathal, N., Min, L. C., & Suri, J. S. (2007) · Springer eBooks · doi:10.1007/978-3-540-36675-1_16

The heterogeneity and effect of diabetes and hypertension on spectral characteristics of vasomotionPreprint

Zhao, L., Liu, S., Liu, Y., & Tang, H. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.10.548472

The future generation got this

Torres, E. B. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-818809-5.00008-2

Fractal and Complex Patterns Existing in Music: Application to the Composition DIAPHONIES of Michael Paouris

Nikolopoulos, D. N., & Petraki, E. (2024) · Mathematics · doi:10.3390/math12193111

A Comparative Analysis of Cardiac Sympathetic and Parasympathetic Activity in Sleep Using Linear and Nonlinear Indices

Matić, Z., Catrambone, V., Barbieri, R., & Valenza, G. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11253331

The impact of muscle oxidative capacity on neuromuscular recovery after exercise-induced muscle damage

Kipper, C. W., Kis, P., Burleson, K. N., Fredrickson, K. D., Hausselle, J., Bae, J., & Hammer, S. M. (2025) · European Journal of Applied Physiology · doi:10.1007/s00421-025-06073-w

Respiração freno labial em indivíduos com doença pulmonar obstrutiva crônica: revisão da literatura e influência sobre a modulação autonômica cardíaca

Rossi, R. C. (2011) · Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista)

Human movement patterns predict task-unrelated thought

Wong, A. Y., Charles, A. E., Mills, C., Stergiou, N., & Likens, A. D. (2026) · PLoS ONE · doi:10.1371/journal.pone.0341902 · Cited by 1

Exercise Intensity Modulates the Validity of Non-Linear Heart Rate Time Series Analysis Window Length: Implications for DFAa1 MonitoringPreprint

Maeseneer, J. D., Olieslagers, A., Gronwald, T., & de Beukelaar, T. T. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.02.703217

Dynamique des fluctuations posturales et influence de l'avancée en âge

Seigle, B. (2010) · doi:10.70675/80f7a451zdd6dz4f7bz9c60z683ecb987111

Effets d’un programme de marche « rapide » sur le système nerveux autonome chez le sujet âgé en EHPAD : Effet additif de la neurostimulation transcutanée du SNA

Raffin, J. (2019) · theses.fr (ABES) · doi:10.70675/3f7c65b2zf91cz4bd9z98b6zae84ef61fa4b

L'entraînement audio-moteur : dynamiques cérébrale et comportementale

Bouvet, C. J. (2020) · theses.fr (ABES) · doi:10.70675/0ee73c7fzbaf0z4de5zbb6fz9f905dc2fe29

Caractérisation de la fatigue neuromusculaire par des méthodes non-linéaires appliquées aux signaux de force : considérations méthodologiques et intérêts dans différents contextes et populations

Chatain, C. (2021) · doi:10.70675/6ee64b39z9a50z449aza6c2z46d1c02869f4

Adaptability as a new concept of health with complex systems approaches in the context of chronic disease individuals

Hognon, L. (2022) · theses.fr (ABES) · doi:10.70675/6c3ba768ze4f9z47ebz9355z057e60ce5da4

New insights in heart rate variability through non-linear methods for conditioning assessment in horses

Ramos, G. V., Ferraz, G. D. C., Fazan, R., Silva, L. E. V., & Neto, J. C. D. L. (2026) · The Veterinary Journal · doi:10.1016/j.tvjl.2026.106722

Fractal dynamics in spontaneous motor activity associate with effective antidepressant chronotherapeutic response, cerebellar volumes, and white matter microstructure in bipolar disorder

Verga, C., Bravi, B., Venturelli, E., Benatti, B. M., Maruca, S., Colombo, C., Li, P., Dallaspezia, S., & Benedetti, F. (2026) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.70107

A binary fuzzy relation-based approach supplementing rainfall time series over an Indian meteorological subdivision

Bhaumik, S., Devi, R. R., & Chattopadhyay, S. (2026) · Indian Journal of Physics · doi:10.1007/s12648-026-04164-8

Exploration of 24-hour ECG signal quality index using ensemble tree classifier with set of nonlinear features

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Fractal Mechanisms and Heart Rate Control: Long-Range Correlations and Their Breakdown with Disease

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Fractal scaling properties in nonstationary heartbeat time series

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Long-range Correlations and Their Breakdown With Disease

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Fractal dynamics in physiology: Alterations with disease and aging

Goldberger, A. L., Amaral, L. A. N., Hausdorff, J. M., Ivanov, P. C., Peng, C., & Stanley, E. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012579499 · Cited by 2,220

Fractal Scaling of Heartrate Dynamics in Health and Disease

Meyer, M. (2002) · Birkhäuser Basel eBooks · doi:10.1007/978-3-0348-8119-7_20 · Cited by 13