Skin is the largest organ of the human body, and it offers a diagnostic interface rich with vital
biological signals from the inner organs, blood vessels, muscles, and dermis/epidermis. Soft …

As personal portable devices, wearable sensors supply a leading-edge pathway to
diagnose various diseases through actuating biological, physical, and chemical sensing …

In this paper, we investigate stable patterns of electroencephalogram (EEG) over time for
emotion recognition using a machine learning approach. Up to now, various findings of …

Despite its short history, the use of Riemannian geometry in brain-computer interface (BCI)
decoding is currently attracting increasing attention, due to accumulating documentation of …

Wearable electronics is a rapidly growing field that recently started to introduce successful
commercial products into the consumer electronics market. Employment of biopotential …

Objective. Processing strategies are analyzed with respect to the classification of
electroencephalographic signals related to brain-computer interfaces (BCIs) based on motor …

Bioelectrical or electrophysiological signals generated by living cells or tissues during daily
physiological activities are closely related to the state of the body and organ functions, and …

Dry electrode electroencephalogram (EEG) recording combined with wireless data
transmission offers an alternative tool to conventional wet electrode EEG systems. However …

The electroencephalogram (EEG) is a widely used non-invasive method for monitoring the
brain. It is based upon placing conductive electrodes on the scalp which measure the small …

Developing reliable and user-friendly electroencephalography (EEG) electrodes remains a
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …