Over the last ten years blind source separation (BSS) has become a prominent processing
tool in the study of human electroencephalography (EEG). Without relying on head modeling …

Surface chest motion can be easily monitored with a wide variety of sensors such as
pressure belts, fiber Bragg gratings and inertial sensors, etc. The current applications of …

The underdetermined blind source separation method based on sparse component analysis
in the time–frequency domain is introduced to estimate the modal parameters in this study …

The movement related cortical potential (MRCP), a slow cortical potential from the scalp
electroencephalogram (EEG), has been used in real-time brain-computer-interface (BCI) …

Induced gamma band responses (iGBRs) in the human electroencephalogram (EEG) have
been ascribed to the activation of cortical object representations. Recently, this claim was …

For machine fault diagnosis the signals from working machine are always numerous, even
uncountable, but there contains only a little useful information. Hence how to find out the …

Vibration from incipient faults of rolling element bearings (REBs) is usually too weak to be
observed in a conventional spectrum analysis. The envelope analysis or high-frequency …

This paper proposes a new framework for measuring sternal cardio-mechanical signals from
moving subjects using multiple sensors. An array of inertial measurement units are attached …

In order to improve the fault diagnosis ability of electric isolation valves in nuclear power
plants, especially for the diagnosis of concurrent faults, a novel concurrent fault diagnosis …

Compared with independent component analysis (ICA), constrained ICA (CICA) has unique
advantages in functional magnetic resonance image (fMRI) data analysis by introducing …