title: An Inflatable and Wearable Wireless System for Making 32-Channel Electroencephalogram Measurements.
abstract: Potable electroencephalography (EEG) devices have become critical for important research. They have various applications, such as in brain-computer interfaces (BCI). Numerous recent investigations have focused on the development of dry sensors, but few concern the simultaneous attachment of high-density dry sensors to different regions of the scalp to receive qualified EEG signals from hairy sites. An inflatable and wearable wireless 32-channel EEG device was designed, prototyped, and experimentally validated for making EEG signal measurements; it incorporates spring-loaded dry sensors and a novel gasbag design to solve the problem of interference by hair. The cap is ventilated and incorporates a circuit board and battery with a high-tolerance wireless (Bluetooth) protocol and low power consumption characteristics. The proposed system provides a 500/250 Hz sampling rate, and 24 bit EEG data to meet the BCI system data requirement. Experimental results prove that the proposed EEG system is effective in measuring audio event-related potential, measuring visual event-related potential, and rapid serial visual presentation. Results of this work demonstrate that the proposed EEG cap system performs well in making EEG measurements and is feasible for practical applications.
authors.forename: Yi-Hsin
authors.initials: YH
authors.lastname: Yu
authors.forename: Shao-Wei
authors.initials: SW
authors.lastname: Lu
authors.forename: Chun-Hsiang
authors.initials: CH
authors.lastname: Chuang
authors.forename: Jung-Tai
authors.initials: JT
authors.lastname: King
authors.forename: Che-Lun
authors.initials: CL
authors.lastname: Chang
authors.forename: Shi-An
authors.initials: SA
authors.lastname: Chen
authors.forename: Sheng-Fu
authors.initials: SF
authors.lastname: Chen
authors.forename: Chin-Teng
authors.initials: CT
authors.lastname: Lin
mesh_terms: D000669:Amplifiers, Electronic; D000703:Analog-Digital Conversion; D003195:Computer Communication Networks / Q000295:instrumentation*; D011211:Electric Power Supplies; D004566:Electrodes; D004569:Electroencephalography / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005240:Feasibility Studies; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D059015:Wireless Technology / Q000295:instrumentation*