Predicting Survival in Heart Failure Case and Control Subjects by Use of Fully Automated Methods for Deriving Nonlinear and Conventional Indices of Heart Rate Dynamics

Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use

Electrophysiology, T. F. O. T. E. S. O. C. T. N. A. (1996) · Circulation · doi:10.1161/01.cir.93.5.1043 · Cited by 17,159

Heart rate variability: Standards of measurement, physiological interpretation, and clinical use

Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J. (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a014868 · Cited by 15,289

Analysis of Survival Data

Cox, D. R., & Oakes, D. (2018) · Chapman & Hall/CRC eBooks · doi:10.1201/9781315137438 · Cited by 6,269

Decreased heart rate variability and its association with increased mortality after acute myocardial infarction

Kleiger, R. E., Miller, J. P., Bigger, J. T., & Moss, A. J. (1987) · The American Journal of Cardiology · doi:10.1016/0002-9149(87)90795-8 · Cited by 3,995

Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series

Peng, C., Havlin, S., Stanley, E., & Goldberger, A. L. (1995) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.166141 · Cited by 3,865

The natural history of congestive heart failure: the Framingham study

McKee, P. A., Castelli, W. P., McNamara, P. M., & Kannel, W. B. (1971) · New England Journal of Medicine · doi:10.1056/nejm197112232852601 · Cited by 3,448

Assessment of autonomic function in humans by heart rate spectral analysis

Pomeranz, B., Macaulay, R. J., Caudill, M. A., Kutz, I., Adam, D., Gordon, D., Kilborn, K. M., Barger, A. C., Shannon, D. C., Cohen, R. J., et al. (1985) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1985.248.1.h151 · Cited by 2,876

Epidemiological approaches to heart disease: the Framingham study

Dawber, T. R., Meadors, G. F., & Moore, F. E. (1951) · American Journal of Public Health and the Nations Health · doi:10.2105/ajph.41.3.279 · Cited by 2,148

Survival after the onset of congestive heart failure in Framingham Heart Study subjects.

Ho, K. K. L., Anderson, K. M., Kannel, W. B., Grossman, W., & Levy, D. A. (1993) · Circulation · doi:10.1161/01.cir.88.1.107 · Cited by 1,865

Frequency domain measures of heart period variability and mortality after myocardial infarction

Bigger, J. T., Fleiss, J. L., Steinman, R. C., Rolnitzky, L. M., Kleiger, R. E., & Rottman, J. N. (1992) · Circulation · doi:10.1161/01.cir.85.1.164 · Cited by 1,712

Entropy analysis in foreign exchange markets and economic crisis

Ha, J.-G., Yim, K., Kim, S., & Jung, W. (2012) · Journal of the Korean Physical Society · doi:10.3938/jkps.61.638 · Cited by 2

Abnormal Cardiac Autonomic Activity and Complexity in Newly Diagnosed and Untreated Hypertensive Patients after General Anesthesia

Kim, H.-S., Kim, C. S., & Yum, M. (1999) · Clinical and Experimental Hypertension · doi:10.3109/10641969909070854 · Cited by 2

β-adrenoceptor Modulation and Heart Rate Variability—The Value of Scatterplot Measures of Compactness

Silke, B., Hanratty, C. G., Veres, S. M., & Riddell, J. G. (2000) · Cardiovascular Drugs and Therapy · doi:10.1023/a:1007872418215 · Cited by 2

MULTIFRACTAL ANALYSIS OF HEART RATE VARIABILITY IN NORMAL AND GROWTH-RESTRICTED FETUSES

Kikuchi, A., & Unno, N. (2009) · Fractals · doi:10.1142/s0218348x09004624 · Cited by 2

HEART RATE VARIABILITY IN PREGNANT WOMEN WITH VENTRICULAR EXTRASYSTOLES

Chekashkina, Y., Геннадьевна, Н. М., Leshchankina, N. Y., Владимировна, С. В., & Викторовна, Ш. М. (2016) · Mordovia University Bulletin · doi:10.15507/0236-2910.026.201601.122-133 · Cited by 2

Non-linear Analysis of Heart Rate Variability

Germán-Salló, Z. (2017) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-319-52875-5_38 · Cited by 2

The Hurst Exponent: A Novel Approach for Assessing Focus During Trauma Resuscitation

Ohu, I. P. N., Carlson, J. N., & Piovesan, D. (2020) · Springer eBooks · doi:10.1007/978-3-030-36844-9_5 · Cited by 2

MULTISCALE ENTROPY AND MULTISCALE TIME IRREVERSIBILITY ANALYSIS OF RR TIME SERIES DEPENDING ON AMBIENT TEMPERATURE

Abellán‐Aynés, O., Orellana, J. N., Manonelles, P., & Alacid, F. (2020) · Journal of Mechanics in Medicine and Biology · doi:10.1142/s0219519420500293 · Cited by 2

Application of weighted sample entropy in detection of abnormal signal

Zhang, H., Lv, S., & He, S. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1827/1/012080 · Cited by 2

Heart Rate Variability

Sosnowski, M. (2011) · Springer eBooks · doi:10.1007/978-0-85729-880-5_3 · Cited by 2

Faster Detection of Abnormal Electrocardiogram (ECG) Signals Using Fewer Features of Heart Rate Variability (HRV)

Gong, X. (2018) · Journal of Computer Science & Systems Biology · doi:10.4172/jcsb.1000295 · Cited by 2

Classification of Arrhythmia using Time-domain Features and Support Vector Machine

Dhaka, M. S., & Khetarpal, P. (2019) · IEEE Conference on Information and Communication Technology (CICT) · doi:10.1109/cict48419.2019.9066181 · Cited by 2

Discrimination of Alcoholics from Non-Alcoholics using Supervised Learning on Resting EEG

Brooks, J. D. (2014) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 2

ESTIMATION OF HEART RATE COMPLEXITY OF BEHAVIOR USING DIFFERENT METHODS OF NONLINEAR DYNAMICS

Kyselova, O., & Настенко, Є. А. (2010) · Cited by 2

Robustness of AIC-Based AR Order Selection in HRV Analysis

Yuda, E., Kaneko, I., Hirahara, D., & Hayano, J. (2026) · Electronics · doi:10.3390/electronics15061319 · Cited by 1

Chapter 50 Advances in EEG telemetry

Schomer, D. L. (2004) · Supplements to Clinical neurophysiology · doi:10.1016/s1567-424x(09)70386-1 · Cited by 1

Correlation between Mortality of Prehospital Trauma Patients and Their Heart Rate Complexity

Erjaee, G., Foroutan, A. R., Keshtkar, S., ShojaMozafar, P., & Benabas, A. (2012) · International Journal of Clinical Medicine · doi:10.4236/ijcm.2012.37103 · Cited by 1

Hemodynamic Monitoring Today

Cecconi, M., Alhashemi, J. A., Cannesson, M. P., & Hofer, C. K. (2011) · Anesthesiology Research and Practice · doi:10.1155/2011/535912 · Cited by 1

CinC challenge 2002 undertaken by non-stationary and fractal techniques

Echeverría, J. C., Woolfson, M. S., Crowe, J. A., & Hayes‐Gill, B. (2003) · Computers in cardiology · doi:10.1109/cic.2002.1166727 · Cited by 1

CARDIOVASCULAR AUTONOMIC DYSFUNCTION IN PARKINSONIAN SYNDROMES

Kallio, M. (2001) · Cited by 1

The effect of static magnetic field on heart rate variability - an experimental study

Koppel, T., Vilcāne, I., Carlberg, M., Tint, P., Priiman, R., Riisik, K., Haldre, H., & Visnapuu, L. (2015) · International Conference Biosystems Engineering · Cited by 1

Electrophysiological Investigations in Neurosurgically Treated Movement Disorders

Kovács, N. (2009) · Pesci Egyetemi Archivum (University of Pécs) · Cited by 1

Multifractal Approach for Quantification of Autonomic Deregulation Due to Epileptic Seizure with ECG Data

Ghosh, D. C., Samanta, S., & Chakraborty, S. (2019) · Springer eBooks · doi:10.1007/978-981-13-3552-5_3 · Cited by 1

Generalized magnitude and sign correlations in nonlinear time series

Zhang, J., Jin, N., & Ren, W. (2024) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2024.129519 · Cited by 1

Application of early warning signs to physiological contexts: a comparison of multivariate indices in patients on long-term hemodialysis

Legault, V., Pu, Y., Weinans, E., & Cohen, A. A. (2024) · Frontiers in Network Physiology · doi:10.3389/fnetp.2024.1299162 · Cited by 1

Entropia w badaniach zaburzeń rytmu serca

Graff, B., Graff, G., & Kolesiak, A. (2008) · Cited by 1

Impulse Fault Analysis

Chakravorti, S., Dey, D., & Chatterjee, B. (2013) · Power systems · doi:10.1007/978-1-4471-5550-8_2 · Cited by 1

Correlation Properties Applied Detrended Fluctuation Analysis Method for Cue-induced EEG in Drug Dependence

Jing, P., Bo, Y., Xu, Z., & Hong, L. (2012) · International Conference on Computer Science and Electronics Engineering (ICCSEE) · doi:10.1109/iccsee.2012.189 · Cited by 1

A New Entropy-Based Heart Failure Detector

Xiong, J., Liang, X., & Liu, C. (2019) · doi:10.23919/cinc49843.2019.9005559 · Cited by 1

Effects of Age and Illness to the Complexity of Human Stabilogram

Halfar, R. (2020) · Springer proceedings in complexity · doi:10.1007/978-3-030-35441-1_9 · Cited by 1

Heart rate variability parameters among acute heart failure patients in a tertiary center in Nigeria

Adeyemi, O. A., Akinlade, O. M., Ogunmodede, J. A., Kolo, P. M., Katibi, I. A., & Omotoso, A. B. O. (2020) · World Journal of Advanced Research and Reviews · doi:10.30574/wjarr.2020.7.2.0274 · Cited by 1

A New Entropy-based Heart Failure Detector

Xiong, J., Liang, X., & Liu, C. (2019) · Computing in cardiology · doi:10.22489/cinc.2019.060 · Cited by 1

Entropy Estimation Methods in HRV Analysis of Patients with Myocardial Infarction

Zur, J. S. (2005) · Cited by 1

Nonlinear Analysis of Experimental Time Series

Signorini, M. G., & Ferrario, M. (2011) · doi:10.1002/9781118007747.ch14 · Cited by 1

Balance control in dance positions

Huh, R. E. (2016) · Bucks New University Repository (Bucks New University) · Cited by 1

Automated Nonlinear Analysis of Newborn Electroencephalographic Signals

Djordjevic, V. (2015) · Czech Technical University Digital Library (Czech Technical University in Prague) · Cited by 1

On the Application of the SDLE to the Analysis of Complex Time Series

Gao, J., Hu, J., & Tung, W. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4145-8_9

An Intelligent Tool for Bio-magnetic Signal Processing

Lambros, S., Adamopoulos, A. V., Stratos, G., & LIKOTHANASSIS, S. D. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24674-9_30

Altered Fractal and Irregular Heart Rate Behavior in Sick Fetuses

Yum, M. K., Hwang, J. H., & Park, M. I. (2000) · Defense Technical Information Center (DTIC)

Preterm Birth Analysis Using Nonlinear Methods (a preliminary study)Preprint

Ivancevic, T. T., Jain, L. C., Pattison, J., & Hariz, A. J. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0807.4279

Challenges in intraoperative monitoring

Subramaniam, B. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6092081

A PROBABILITY ANALYSIS OF HEART RATE VARIABILITY FOR HEART TRANSPLANT AND MYOCARDIAL INFARCTION PATIENTS AND FOR HEALTHY SUBJECTS

Særmark, K., Lewkowicz, M., Levitan, J., Moelgaard, H., Boberg, B., PEHRSSON, S. K., & Thomsen, P. E. B. (2001) · Fractals · doi:10.1142/s0218348x01000762

Ultraweak Electromagnetic Fields and Sub-Atomic Dynamics - A Possible Subset of Signal-Transduction and -Storage Mechanisms in the Cardiovascular System (Non-Linearity, Small-Scale Fluctuations and Predictive Aspects)

Gasser, R. N. A., Gasser, S., & Hecking, C. (2003) · Journal für Kardiologie (Krause & Pachernegg GmbH)

Exhaled nitric oxide and asthma in childhood

van der Valk, R. J. P. (2013)

Factores pronósticos en la insuficiencia cardíaca

Asensi, J. O., & de León, A. J. C. (2004) · Medicina de Familia SEMERGEN · doi:10.1016/s1138-3593(04)74348-8

Surface EMG Classification Using Moving

Ahmad, S. A., & Chappell, P. H. (2007)

Frailty Assessment Based on Trunk Accelerometry during Walking

Martinikorena, I., Martínez-Ramírez, A., Lecumberri, P., Millor, N., Gómez, M., & Izquierdo, M. (2014) · Biosystems & biorobotics · doi:10.1007/978-3-319-08072-7_79

Impact of maturation and disease on respiratory system dynamics in infants

Baldwin, D. N. (2008) · UWA Profiles and Research Repository (University of Western Australia)

Prevalence and characteristics of ectopic atrial tachycardia and inappropriate sinus tachycardia

Still, A.-M. (2004)

The Effects of Ketamine on the Brain’s Spontaneous Activity as Measured by Temporal Variability and Scale-Free Properties. A Resting-State fMRI Study in Healthy Adults.

Ayad, O. (2016) · uO Research (University of Ottawa) · doi:10.20381/ruor-5979

Audio segmentation based on transform domain

Moe, P. (2005) · doi:10.32657/10356/4897

The PREVEND risk model for new onset heart failure with preserved and reduced ejection fraction

Brouwers, F. P. J., Cao, Q., van Geel, P. P., Voors, A. A., Gansevoort, R. T., de Boer, R. A., van der Harst, P., van Veldhuisen, D. J., van Gilst, W. H., & Hillege, J. (2014) · University of Groningen research database (University of Groningen / Centre for Information Technology)

Autonomic Nervous System Dysfunction in Stroke Patients: Clinical Asessment by Sympathetic Skin Response(SSR) and Heart Rate Variability.

Ikai, T., & MIYANO, S. (1999) · リハビリテーション医学 : 日本リハビリテーション医学会誌 · doi:10.2490/jjrm1963.36.658

Anàlisi de la dinàmica no lineal del ritme cardíac

Ramírez, E. C. (2003) · RECERCAT (Consorci de Serveis Universitaris de Catalunya)

Feasibility Study of Human Lumbar Motion using Variability Techniques

Pawar, Y. (2011)

A Diagnosis Feature Space for Condition Monitoring and Fault Diagnosis of Ball Bearings

Kahirdeh, A. (2014) · doi:10.31390/gradschool_theses.1579

Measurements of Cardiovascular Signal Complexity for Advanced Clinical Applications

Sassi, R., & Cerutti, S. (2017) · Springer eBooks · doi:10.1007/978-3-319-58709-7_10

Detección de isquemia de miocardio y estudio de la respuesta autónoma asociada mediante procesamiento de la señal de EGG

Magrans, R. (2016) · doi:10.5821/dissertation-2117-106278

Caracterização da modulação autonômica cardiovascular nas posições supina e vertical, usando-se a manobra postural passiva, em pacientes com história clínica de síncope neurocardiogênica e indivíduos saudáveis

Leite, M. A. (2018) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.17.2018.tde-24042018-171611

Asociación de una respuesta inflamatoria con la dinámica de las fluctuaciones de la frecuencia cardiaca durante el trabajo de parto a término y de bajo riesgo

Lagos, J. J. R. (2017) · doi:10.24275/uami.kp78gg36g

Historical Development of HRV Analysis

Voss, A. (2017) · CRC Press eBooks · doi:10.4324/9781315372921-2

An investigation into the relationship between locomotor dynamics and adaptability

Cone, B. L. (2018) · NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)

Avaliação da modulação autonômica cardíaca no teste de caminhada de seis minutos e da qualidade de vida na insuficiência cardíaca

Scheucher, D. (2014) · doi:10.14393/ufu.di.2014.179

Modulação autonômica cardíaca em mulheres na pós-menopausa com síndrome do olho seco

Júnior, Á. D. D. A. (2019) · doi:10.11606/d.5.2019.tde-11122019-104523

Characterization of Cardiac Cell Electrophysiology Model Using Recurrence Plots

Halfar, R. (2020) · Springer proceedings in complexity · doi:10.1007/978-3-030-35441-1_8

Short-term heart rate dynamics : methodology and novel applications

Tarkiainen, T. H. (2012) · UEF eRepo (University of Eastern Finland)

Outliers detection for accurate HRV-seizure baseline estimation using modern numerical algorithms

Muñoz‐Minjares, J., Lopez–Ramirez, M., Vázquez-Olguín, M. A., Lastre-Domínguez, C., & Shmaliy, Y. S. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102553

Subject Independent Classification of Hand Gesture from sEMG using an Approximate Entropy Based Approach

Paul, J., Alam, M. T., & Paul, S. (2020) · International Conference on Electrical and Computer Engineering (ICECE) · doi:10.1109/icece51571.2020.9393127

Relación entre complejidad de la variabilidad de la frecuencia cardiaca y neurodesarrollo en niños con hipotiroidismo congénito

Aquino, J. E. P. (2010) · doi:10.24275/uami.j3860715g

Effects of some class IC antarrhythmic drugs on the human heart rate variability (HRV): a new original methodology to evaluate effectiveness and contraindications of a biochemical compound on the human health. Preliminary results

Barra, O. A., & Giordano, G. (2018) · MOJ Bioorganic & Organic Chemistry · doi:10.15406/mojboc.2018.02.0063

Heart Rate Variability: Measurements and Risk Stratification

Gang, Y. (2013) · Springer eBooks · doi:10.1007/978-1-4471-4978-1_11

Digital Transformation is a Way to Increase the Effectiveness of Personal Telemedicine

Fedorov, V. F., & Stolyar, V. L. (2022) · International Conference on Digital Signal Processing and its Applications (DSPA) · doi:10.1109/dspa53304.2022.9790766

References and further reading

(2011) · Elsevier eBooks · doi:10.1016/b978-0-7020-3571-5.00037-8

Application of Linear Methods for Analysis of Heart Rate Variability

Georgieva-Tsaneva, G. N. (2020) · Innovative STEM Education · doi:10.55630/stem.2020.0203

Finding chaos in cardiac electrophysiology

Halfar, R. (2023) · AIP conference proceedings · doi:10.1063/5.0164155

Caracterització multiescala de dades fisiològiques en la cardiologia translacional

Marimon, X. (2023) · doi:10.5821/dissertation-2117-405580

Smart Posture Cover

Shanmugaraja, T., Amish Gurubaran, K., N, A. K., Dhanasekar, S., R, G. P. S., Siddharthraju, K., & Shnain, A. H. (2023) · International Conference for Technological Engineering and its Applications in Sustainable Development (ICTEASD) · doi:10.1109/icteasd57136.2023.10584898

Multiscale Entropy of Resting-State fMRI Signals Reveals Differences in Brain Complexity in AutismPreprint

Xiao, W., & Jones, M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.22.655518

Stress recognition of automobile drivers using chaos based nonlinear technique

Chakraborty, S. (2025) · AIP conference proceedings · doi:10.1063/5.0309436

Stress in the workplace the contrasting effects of 10 minutes of listening to Chopin vs. HRV biofeedback on autonomic reactivity and cognitive performance

Smit, S. (2012) · Open University of Cape Town (University of Cape Town)

Information domain analysis of physiological signals

Moraru, L. (2006) · doi:10.12681/eadd/26562

Heart rate variability at ICU admission in Covid-19 patients in sitting position: a prospective studyPreprint

González, T. F. F., Martínez‐Sagasti, F., Hernando, M. E., García, I. O., Núñez-Reiz, A., González-Gallego, M. A., Latorre, J., & Quintana-Díaz, M. (2025) · medRxiv · doi:10.64898/2025.12.25.25343013

Etude des interactions cardiorespiratoires chez le patient sous ventilation mécanique : contribution respective des effets mécaniques et nerveux dans la genèse de la variabilité à court terme des paramètres cardiovasculaires

Louw, A. V. D. (2010) · doi:10.70675/6a139b7czcb56z44f4zb708z6dd1a2726a68

Dynamiques individuelles et collectives de la complexité de signaux physiologiques en situation de stress induit

Blons, E. (2020) · theses.fr (ABES) · doi:10.70675/bf1e2cf7z9308z4a53zb8d1zdbdb81ecf706

Détection des signaux faibles de la fatigue cognitive chez l’Homme à partir du suivi des régulations physiologiques, implication dans les techniques d’entrainement de bio- et neurofeedback

Bouny, P. (2023) · theses.fr (ABES) · doi:10.70675/0e80054cz624ez458dz9c33z5f2ac7d843a8

Dynamique de la construction de la perception auditive consciente : aspects électrophysiologiques et corrélats informationnels neuronaux

Veyrié, A. (2023) · theses.fr (ABES) · doi:10.70675/23e281a7zdc6cz4e1az85e2z9a85f114ce71

Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform

Giri, D., Rajendra Acharya, U., Martis, R. J., Vinitha Sree, S., Lim, T.-C., Ahamed, T., & Suri, J. S. (2013) · Knowledge-Based Systems · doi:10.1016/j.knosys.2012.08.011 · Cited by 221

Multiparametric analysis of HRV signal by linear and nonlinear methods in heart failure patient population

Signorini, M. G., Guzzetti, S., Manzoni, C., Milani, S., & Cerutti, S. (2002) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.1998.745907 · Cited by 2

Nonlinear Indices of Heart Rate Variability in Chronic Heart Failure Patients: Redundancy and Comparative Clinical Value

Maestri, R., Pinna, G. D., Accardo, A., Allegrini, P., Balocchi, R., D’Addio, G., Ferrario, M., Menicucci, D., Porta, A., Sassi, R., et al. (2007) · Journal of Cardiovascular Electrophysiology · doi:10.1111/j.1540-8167.2007.00728.x · Cited by 146

Linear and non-linear indices of heart rate variability in chronic heart failure: mutual interrelationships and prognostic value

Maestri, R., Pinna, G. D., Allegrini, P., Balocchi, R., Casaleggio, A., D’Addio, G., Ferrario, M., Menicucci, D., Porta, A., Sassi, R., et al. (2005) · Computers in cardiology · doi:10.1109/cic.2005.1588273 · Cited by 8

, A Bayes de Luna

Voss, A., Schroeder, R., Vallverdu, M., Cygankiewicz, I., Vazquez, R., & Caminal, P. (2016)

Linear and nonlinear heart rate variability risk stratification in heart failure patients

Voss, A., Schroeder, R., Vallverdú, M., Cygankiewicz, I., Vázquez, R., de Luna, A. B., & Caminal, P. (2008) · Computers in cardiology · doi:10.1109/cic.2008.4749102 · Cited by 26