Design and optimization of ICs for wearable EEG sensor

Xu, J., Mohan, R., Van Helleputte, N. and Mitra, S. (2017) Design and optimization of ICs for wearable EEG sensor. In: Mitra, S. and Cumming, D. R.S. (eds.) CMOS Circuits for Biological Sensing and Processing. Springer, pp. 163-185. ISBN 9783319677224 (doi: 10.1007/978-3-319-67723-1_7)

Abstract

In modern clinical practice, scalp electroencephalography (EEG) recording is one of the most important noninvasive procedures to measure the electrical activity of the human brain. EEG has a wide range of applications from brain disorder diagnosis, stroke rehabilitation, brain-computer interface (BCI), and gaming. Conventionally, EEG signal is obtained by placing electrodes on the scalp along with conductive gel to reduce the electrode-tissue contact impedance. The recorded EEG signal between two electrodes is a differential voltage representing the average intensity and spontaneous activities of a group of neurons underlying the skull. In time domain, EEG response with peaks and valleys indicates the power spectrum associate with brain activities. In frequency domain, most of the signal falls within a narrow band of 0.5–100 Hz. Some of the prominent frequency bands are called alpha (7–14 Hz), beta (15–30 Hz), theta (4–7 Hz), and delta (1–4 Hz), each having characteristic neurophysiological traits.

• Item Type: Book Sections
• Status: Published
• Glasgow Author(s) Enlighten ID: Mitra, Dr Srinjoy
• Authors: Xu, J., Mohan, R., Van Helleputte, N., and Mitra, S.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Publisher: Springer
• ISBN: 9783319677224