Epilepsy is an electrophysiological disorder of the brain, characterized by recurrent seizures.
Electroencephalogram (EEG) is a test that measures and records the electrical activity of the …

Epilepsy is a common neurological condition that can occur in anyone at any age.
Electroencephalogram (EEG) signals of non-focal (NF) and focal (F) types contain brain …

Diabetic retinopathy (DR), which is seen in approximately one-third of diabetes patients
worldwide, leads to irreversible vision loss and even blindness if not diagnosed and treated …

Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …

The book systematically introduces theories of frequently-used modern signal processing
methods and technologies, and focuses discussions on stochastic signal, parameter …

Emotion recognition by artificial intelligence (AI) is a challenging task. A wide variety of
research has been done, which demonstrated the utility of audio, imagery, and …

The past 20 years have witnessed unprecedented progress in brain–computer interfaces
(BCIs). However, low communication rates remain key obstacles to BCI-based …

Recent evaluations such as ASVspoof 2015 and the similarly-named AVspoof have
stimulated a great deal of progress to develop spoofing countermeasures for automatic …

Objective. Recently, canonical correlation analysis (CCA) has been widely used in steady-
state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) due to its …

Electrocardiogram (ECG) signal is significant to diagnose cardiac arrhythmia among various
biological signals. The accurate analysis of noisy electrocardiographic (ECG) signal is a …