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Heart Rate Chaos as a Mortality Predictor in Mild to Moderate Heart Failure

Arzeno, N. M., Kearney, M. T., Eckberg, D. L., Nolan, J., & Poon, C. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4353475 · Cited by 12

Scaling graphs of heart rate time series in athletes demonstrating the VLF, LF and HF regions

Baumert, M., Brechtel, L. M., Lock, J., Voss, A., & Abbott, D. (2006) · Physiological Measurement · doi:10.1088/0967-3334/27/9/n01 · Cited by 12

Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method.

Wang, Y., Chen, W., Heard, K. M., Kollef, M. H., Bailey, T. C., Cui, Z., He, Y., Lu, C., & Chen, Y. (2015) · PubMed Central · Cited by 11

Investigation of denoising effects on forecasting models by statistical and nonlinear dynamic analysis

Rahmani, F., & Fattahi, M. H. (2020) · Journal of Water and Climate Change · doi:10.2166/wcc.2020.014 · Cited by 11

Heart rhythm complexity as predictors for the prognosis of end-stage renal disease patients undergoing hemodialysis

Liu, H., Zhan, P., Shi, J., Hu, M., Wang, G., & Wang, W. (2020) · BMC Nephrology · doi:10.1186/s12882-020-02196-8 · Cited by 11

Nonlinear Analysis of Heart Rate Variability: Fractal and Complexity Measures of Heart Rate Behavior

Perkiömäki, J. S., Mäkikallio, T. H., & Huikuri, H. V. (2000) · Annals of Noninvasive Electrocardiology · doi:10.1111/j.1542-474x.2000.tb00384.x · Cited by 10

A simple approach to determine loss of physiological complexity in heart rate series

Özel, H. F., & Kazdağlı, H. (2023) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/acd254 · Cited by 10

Common bean under different water availability reveals classifiable stimuli-specific signatures in plant electrome

de Toledo, G. R. A., Reissig, G. N., Senko, L. G. S., Pereira, D. R., da Silva, A. F., & Souza, G. M. (2024) · Plant Signaling & Behavior · doi:10.1080/15592324.2024.2333144 · Cited by 10

SUSPEND: Determining software suspiciousness by non-stationary time series modeling of entropy signals

Wojnowicz, M., Chisholm, G., Wallace, B., Wolff, M., Zhao, X., & Luan, J. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.11.027 · Cited by 10

Classification of patient by analyzing EEG signal using DWT and least square support vector machine

Zuhair, M., & Thomas, S. (2017) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj0203162 · Cited by 10

Heart rate variability dynamics during treatment for exertional heat strain when immediate response is not possible

Flouris, A. D., Friesen, B. J., Herry, C. L., SEELY, A. J. E., Notley, S. R., & Kenny, G. P. (2019) · Experimental Physiology · doi:10.1113/ep087297 · Cited by 10

A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases

Xiong, J., Liang, X., Zhu, T., Zhao, L., Li, J., & Liu, C. (2019) · Entropy · doi:10.3390/e21090830 · Cited by 10

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