title: A Feasibility Study on a Single-Unit Wireless EEG Sensor.
abstract: The electroencephalography (EEG) is a widely used diagnostic tool for a number of clinical applications, such as diagnosis of epilepsy and study of sleep. Traditionally, to acquire a single channel of EEG signal, at least three electrodes must be installed on the skin separated at certain distances. They must also be connected to an amplifier by electrode leads. These basic requirements are acceptable in most clinical laboratories, but are unacceptable in certain point-of-care applications, such as during patient transportation. In order to remove these requirements, we are designing a single-unit EEG sensor in the size of a U.S. penny. It contains multiple closely spaced dry electrodes that can hook onto the skin, an electronic circuitry for signal amplification, digitization and wireless transmission, and a battery providing power. In this paper, we answer two key questions regarding the feasibility of the single-unit design: 1) can the closely-spaced electrodes obtain EEG signal reliably? and 2) will the electrodes orientated in certain ways improve signal quality? We conducted experiments utilizing closely spaced electrodes to record the alpha wave in the EEG. Our results have shown positive answers to the two feasibility questions.
authors.affiliation: Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: Bo
authors.initials: B
authors.lastname: Luan
authors.affiliation: Department of Neurosurgery, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: Wenyan
authors.initials: W
authors.lastname: Jia
authors.affiliation: Department of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: Parthasarathy D
authors.initials: PD
authors.lastname: Thirumala
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Balzer
authors.forename: Di
authors.initials: D
authors.lastname: Gao
authors.forename: Mingui
authors.initials: M
authors.lastname: Sun
keywords: Alpha rhythm; Analysis of variance (ANOVA); Electroencephalography (EEG); Single-unit EEG sensor