Wireless EEG monitoring system

Human medical data collection system, especially patient monitoring system is always a challenge for designers. The system should be able to extract weak electric signal from strong common-mode voltage and noise. Besides, conventional electroencephalogram (EEG) monitoring systems are usually bulky,...

Full description

Saved in:
Bibliographic Details
Main Author: Lu, Yuncheng
Other Authors: Goh Wang Ling
Format: Theses and Dissertations
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/76015
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-76015
record_format dspace
spelling sg-ntu-dr.10356-760152023-07-04T15:56:08Z Wireless EEG monitoring system Lu, Yuncheng Goh Wang Ling School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Human medical data collection system, especially patient monitoring system is always a challenge for designers. The system should be able to extract weak electric signal from strong common-mode voltage and noise. Besides, conventional electroencephalogram (EEG) monitoring systems are usually bulky, expensive and power hungry, which is not convenient for family use. Therefore, in this project, a portable wireless monitoring device with high common-mode rejection ratio (CMRR) analog-end and high digital resolution is designed. The device mainly contains two parts: the front-end (i.e. analog part) and the back-end (i.e. digital part). The analog part is made up of high CMRR amplifiers, precision operational amplifier and low-pass filter; the digital part mainly assembles the Analog-to-Digital Converter (ADC) and Bluetooth transmission module. The analog electric signal from electrodes can be amplified about 600 times by amplifiers, then the bandwidth is filtered to range 20 – 500 Hz. After being biased, the signal is sampled and converted by SAR ADC and then sent to PC or mobile equipment through Bluetooth module. Finally, the signal received will be observed and analyzed on LabVIEW. The performance of the entire system has been tested by amounts of simulations and analyses from design-stage to testing-stage. The experimental results show that the EEG signal can be detected and processed accurately by this wireless EEG monitoring system. Besides, the device can also be used to detect electrocardiogram (ECG) and electromyogram (EMG) signal. Master of Science (Electronics) 2018-09-18T05:07:45Z 2018-09-18T05:07:45Z 2018 Thesis http://hdl.handle.net/10356/76015 en 90 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Lu, Yuncheng
Wireless EEG monitoring system
description Human medical data collection system, especially patient monitoring system is always a challenge for designers. The system should be able to extract weak electric signal from strong common-mode voltage and noise. Besides, conventional electroencephalogram (EEG) monitoring systems are usually bulky, expensive and power hungry, which is not convenient for family use. Therefore, in this project, a portable wireless monitoring device with high common-mode rejection ratio (CMRR) analog-end and high digital resolution is designed. The device mainly contains two parts: the front-end (i.e. analog part) and the back-end (i.e. digital part). The analog part is made up of high CMRR amplifiers, precision operational amplifier and low-pass filter; the digital part mainly assembles the Analog-to-Digital Converter (ADC) and Bluetooth transmission module. The analog electric signal from electrodes can be amplified about 600 times by amplifiers, then the bandwidth is filtered to range 20 – 500 Hz. After being biased, the signal is sampled and converted by SAR ADC and then sent to PC or mobile equipment through Bluetooth module. Finally, the signal received will be observed and analyzed on LabVIEW. The performance of the entire system has been tested by amounts of simulations and analyses from design-stage to testing-stage. The experimental results show that the EEG signal can be detected and processed accurately by this wireless EEG monitoring system. Besides, the device can also be used to detect electrocardiogram (ECG) and electromyogram (EMG) signal.
author2 Goh Wang Ling
author_facet Goh Wang Ling
Lu, Yuncheng
format Theses and Dissertations
author Lu, Yuncheng
author_sort Lu, Yuncheng
title Wireless EEG monitoring system
title_short Wireless EEG monitoring system
title_full Wireless EEG monitoring system
title_fullStr Wireless EEG monitoring system
title_full_unstemmed Wireless EEG monitoring system
title_sort wireless eeg monitoring system
publishDate 2018
url http://hdl.handle.net/10356/76015
_version_ 1772828189057351680