Assessment of the cognitive functions and state of clinical subjects is an important aspect of
e-health care delivery, and in the development of novel human-machine interfaces. A …

Electroencephalogram (EEG) plays an important role in identifying brain activity and
behavior. However, the recorded electrical activity always be contaminated with artifacts and …

Contactless fault diagnosis is one of the most important technique for fault identification of
equipment. Based on the idea of contactless fault diagnosis, this paper presents a sound …

Objective: Artifact subspace reconstruction (ASR) is an automatic, online-capable,
component-based method that can effectively remove transient or large-amplitude artifacts …

Accurate binary classification of electroencephalography (EEG) signals is a challenging task
for the development of motor imagery (MI) brain–computer interface (BCI) systems. In this …

Heart rate (HR) estimation and monitoring is of great importance to determine a person's
physiological and mental status. Recently, it has been demonstrated that HR can be …

Removal of motion artifacts is a critical challenge, especially in wearable
electroencephalography (EEG) and photoplethysmography (PPG) devices that are exposed …

Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …

A potential limitation of a motor imagery (MI) based brain-computer interface (BCI) is that it
usually requires a relatively long time to record sufficient electroencephalogram (EEG) data …

A highly wearable single-channel instrument, conceived with off-the-shelf components and
dry electrodes, is proposed for detecting human stress in real time by …