Multi-scale sample entropy-based energy moment features applied to fault classification

W Jiao, G Li, Y Jiang, R Baim, C Tang, T Yan… - Ieee …, 2021 - ieeexplore.ieee.org
Rolling element bearings are crucial, of high failure rate and easy damage parts of rotating
machinery, and significantly affect safe and reliable production processes. Much more …

Heart rate variability analysis for seizure detection in neonatal intensive care units

B Olmi, C Manfredi, L Frassineti, C Dani, S Lori… - Bioengineering, 2022 - mdpi.com
In Neonatal Intensive Care Units (NICUs), the early detection of neonatal seizures is of
utmost importance for a timely clinical intervention. Over the years, several neonatal seizure …

Windowed scalogram entropy: wavelet-based tool to analyze the temporal change of entropy of a time series

M Akıllı, N Yılmaz - The European Physical Journal Plus, 2021 - Springer
In this paper, we propose a new entropy calculation method to observe the temporal change
of the entropy of dynamical systems. The proposed entropy calculation method is based on …

Multiscale Cumulative Residual Dispersion Entropy with Applications to Cardiovascular Signals

Y Kim, YS Choi - Entropy, 2023 - mdpi.com
Heart rate variability (HRV) is used as an index reflecting the adaptability of the autonomic
nervous system to external stimuli and can be used to detect various heart diseases. Since …

Quantifying Heart Rate Variability Using Multiscale Fuzzy Dispersion Entropy

CM Kim, YS Choi - IEEE Access, 2024 - ieeexplore.ieee.org
Heart rate variability (HRV), which is the variation of inter-beat intervals, exhibits complex
characteristics on multiple temporal scales due to the balancing function of the autonomic …

On change detection in the complexity of the time series with multiscale Renyi entropy processing

D Aiordachioaie, TD Popescu… - 2020 24th International …, 2020 - ieeexplore.ieee.org
The objective of the paper refers to change detection in the structure of time series data, with
direct application in fault detection of industrial processes and their components. The …

[HTML][HTML] Multiscale distribution entropy analysis of short epileptic EEG signals

DH Kim, JO Park, DY Lee, YS Choi - Mathematical Biosciences and …, 2024 - aimspress.com
This paper proposes an information-theoretic measure for discriminating epileptic patterns in
short-term electroencephalogram (EEG) recordings. Considering nonlinearity and …

A Novel Deep Learning Based Emotion Recognition Approach to well Being from Fingertip Blood Volume Pulse

HP Fordson, K Gardhouse, N Cicero… - … on machine learning …, 2022 - ieeexplore.ieee.org
Emotions are central to physical and mental health and general well being. There is a great
need to affordably and non invasively track moment to moment changes in emotional states …

Performance evaluation of new feature based on ordinal pattern analysis for iris biometric recognition

S Sheena, S Mathew… - International Journal of …, 2022 - search.proquest.com
The Iris recognition technique is currently the most efficient biometric identification system
and is a common system on the practical front. Though most of the commercial systems use …

Comparative study of Heart Rate Variability for Capacitive Electrocardiography and Reference Electrocardiography

V Ranjan, P Kumar, S Halder - 2022 IEEE 6th International …, 2022 - ieeexplore.ieee.org
Heart rate variability (HRV) is a clinical term for the fluctuation in heartbeat intervals
influenced by the sympathetic and parasympathetic activity of the autonomic nervous …