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CMOS Nano-Pore Technology Read chapter Read first chapter

2018 | OriginalPaper | Chapter

7. Design and Optimization of ICs for Wearable EEG Sensors

Authors : Jiawei Xu, Rachit Mohan, Nick Van Helleputte, Srinjoy Mitra

Published in: CMOS Circuits for Biological Sensing and Processing

Publisher: Springer International Publishing

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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.

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Metadata
Title
Design and Optimization of ICs for Wearable EEG Sensors
Authors
Jiawei Xu
Rachit Mohan
Nick Van Helleputte
Srinjoy Mitra
Copyright Year
2018
Book
CMOS Circuits for Biological Sensing and Processing

Print ISBN: 978-3-319-67722-4

Electronic ISBN: 978-3-319-67723-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67723-1_7