The time-series forecasting makes a substantial contribution in timely decision-making. In
this article, a recently developed eigenvalue decomposition of Hankel matrix (EVDHM) …

The heartbeat interval (HBI) signal (RR-time series), and electrocardiogram (ECG) derived
respiration (EDR) signal quantify the information about the cardiopulmonary activity, and …

The categorization of sleep stages helps to diagnose different sleep-related ailments. In this
paper, an entropy-based information–theoretic approach is introduced for the automated …

Brain-Computer Interface (BCI) provides a direct communicating pathway between the
human brain and the external environment. In the BCI systems, electroencephalography …

Signal decomposition (SD) approaches aim to decompose non-stationary signals into their
constituent amplitude-and frequency-modulated components. This represents an important …

Healthy sleep is essential for the rejuvenation of the body and helps in maintaining good
health. Many people suffer from sleep disorders that are characterized by abnormal sleep …

In this work, we present a new technique for the decomposition of multivariate data, which
we call Multivariate Fast Iterative Filtering (MvFIF) algorithm. We study its properties, proving …

This letter proposes the multiscale domain gradient boosting-based approach for the
automated recognition of imagined vowels using the multichannel electroencephalogram …

In this letter, a novel automated approach for recognizing imagined commands using
multichannel electroencephalogram (MEEG) signals is presented. The multivariate fast and …

Convolution neural network (CNN)-based fault diagnosis methods have been widely
adopted to obtain representative features and used to classify fault modes due to their …