Alcoholism is attributed to regular or excessive drinking of alcohol and leads to the
disturbance of the neuronal system in the human brain. This results in certain malfunctioning …

Control systems are highly used in various signal processing systems like communication
system, biomedical system, etc. to measure the system output in real time. These signals are …

Due to the advancement in data collection and maintenance strategies, the current clinical
databases around the globe are rich in a sense that these contain detailed information not …

Objective. Recent results have shown the potentials of neural interfaces to provide sensory
feedback to subjects with limb amputation increasing prosthesis usability. However, their …

Electroencephalogram (EEG) extraction has widely used Stone's Blind Source Separation
(Stone's BSS) algorithm. However, Stone's BSS algorithm is sensitive to the initial half-life …

In this study, the transmissibility estimation of novel coronavirus (COVID-19) has been
presented using the generalized fractional-order calculus (FOC) based extended Kalman …

Fault diagnosis of mechanical systems is of special importance for better system
performance as well as its protection. In this work, a rotary machine laboratory system is …

The electroencephalogram (EEG) is the representation of brain activity. It is a non-invasive
technique to collect relevant data without causing any damage to the human subject. At the …

We propose a method based on the ensemble Kalman filter (EnKF) together with
quantitative electroencephalogram (QEEG) coherence and power spectrum analysis for …

Many applications in biomedicine, signal processing is the enabling technology for the
generation and interpretation of information. However electroencephalogram (EEG) signal is …