Dry and Noncontact EEG Sensors for Mobile Brain-Computer Interfaces

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 20; no. 2; pp. 228 - 235
• Main Authors: Chi, Yu Mike, Wang, Yu-Te, Wang, Yijun, Maier, Christoph, Jung, Tzyy-Ping, Cauwenberghs, Gert
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2012; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Benchmarking; Brain-computer interface (BCI); capacitive electrodes; Correlation; dry electrodes; Electric Impedance; Electrocardiography; Electrodes; electroencephalographic (EEG); Electroencephalography; Electroencephalography - instrumentation; Equipment Design; Evoked Potentials, Somatosensory - physiology; Evoked Potentials, Visual - physiology; Hair; Humans; Hydrogels; Impedance; Noise; noncontact electrodes; Sensors; Signal Processing, Computer-Assisted; steady state visual evoked potential (SSVEP); Telemetry; User-Computer Interface; Wireless Technology

Dry and noncontact electroencephalographic (EEG) electrodes, which do not require gel or even direct scalp coupling, have been considered as an enabler of practical, real-world, brain-computer interface (BCI) platforms. This study compares wet electrodes to dry and through hair, noncontact electrode...