Recurrence measures and transitions in stock market dynamics

M Krishnadas, KP Harikrishnan, G Ambika - Physica A: Statistical …, 2022 - Elsevier
The financial markets are understood as complex dynamical systems whose dynamics is
analysed mostly using nonstationary and brief data sets from stock markets. For such data …

An interpretable model for ECG data based on Bayesian neural networks

Q Hua, Y Yaqin, B Wan, B Chen, Y Zhong, J Pan - IEEE Access, 2021 - ieeexplore.ieee.org
Heart arrhythmia have been a life-threatening disease to human for a very long time, many
techniques and methods have been developed by human experts since the advent of ECG …

Multivariate joint order recurrence networks for characterization of multi-lead ECG time series from healthy and pathological heartbeat dynamics

X Yang, M Chen, Y Ren, B Hong, A He… - … Journal of Nonlinear …, 2023 - pubs.aip.org
Analysis of nonlinear dynamic characteristics of cardiac systems has been a hot topic of
clinical research, and the recurrence plots have earned much attention as an effective tool …

Recurrence analysis of meteorological data from climate zones in India

J John Bejoy, G Ambika - Chaos: An Interdisciplinary Journal of …, 2024 - pubs.aip.org
We present a study on the spatiotemporal pattern underlying the climate dynamics in various
locations spread over India, including the Himalayan region, coastal region, and central and …

Multiplex recurrence networks from multi-lead ECG data

S Kachhara, G Ambika - Chaos: An Interdisciplinary Journal of …, 2020 - pubs.aip.org
We present an integrated approach to analyze the multi-lead electrocardiogram (ECG) data
using the framework of multiplex recurrence networks (MRNs). We explore how their …

[PDF][PDF] Adaptive Multistage Method of Anomalies Detection in ECG Time Series.

I Baklan, Y Oliinyk, I Mukha, K Lishchuk, O Gavrilenko… - COLINS, 2020 - ceur-ws.org
This work proposes a new approach for identifying heart anomalies on electrocardiograms
data using adaptive multistage method of anomalies detection. The method includes: search …

Detection of healthy and pathological heartbeat dynamics in ECG signals using multivariate recurrence networks with multiple scale factors

L Ma, M Chen, A He, D Cheng, X Yang - Chinese Physics B, 2023 - iopscience.iop.org
The electrocardiogram (ECG) is one of the physiological signals applied in medical clinics to
determine health status. The physiological complexity of the cardiac system is related to age …

[PDF][PDF] Dynamical systems and complex systems approach to study transition to thermoacoustic instability in a model multi element rocket combustor

K PRAVEEN - 2022 - researchgate.net
Combustors in modern high-performing rocket engines are prone to transverse
thermoacoustic instability characterized by large amplitude high-frequency acoustic …

[PDF][PDF] Веб-застосування для виявлення аномалій в електрокардіограмах лінгвістичним методом

АВ Цицилюк - 2020 - ela.kpi.ua
The explanatory note consists of 4 sections and contains 11 figures, 26 tables, 6 appendices
and 40 sources-a total of 132 pages. The aim of the project is to develop a web application …