Electroencephalography acquisition system: Analog design

被引:6
作者
Alkhorshid D.R. [1 ]
Molaeezadeh S.F. [1 ]
Alkhorshid M.R. [2 ]
机构
[1] Department of Electrical and Computer Engineering, Jundi-Shapur University of Technology, Dezful
[2] Department of Electrical Engineering, Islamic Azad University of Izeh, Izeh
关键词
High pass filters - Electrophysiology - Electroencephalography - Anti-aliasing - Radio interference - Feedback amplifiers - Mergers and acquisitions;
D O I
10.2345/0899-8205-54.5.346
中图分类号
学科分类号
摘要
Electroencephalography (EEG) is a sensitive and weak biosignal that varies from person to person. It is easily affected by noise and artifacts. Hence, maintaining the signal integrity to design an EEG acquisition system is crucial. This article proposes an analog design for acquiring EEG signals. The proposed design consists of eight blocks: (1) a radio-frequency interference filter and electro-static discharge protection, (2) a preamplifier and second-order high-pass filter with feedback topology and an unblocking mechanism, (3) a driven right leg circuit, (4) two-stage main and variable amplifiers, (5) an eight-order anti-aliasing filter, (6) a six-order 50-Hz notch filter (optional), (7) an opto-isolator circuit, and (8) an isolated power supply. The maximum gain of the design is approximately 94 dB, and its bandwidth ranges from approximately 0.18 to 120 Hz. The depth of the 50-Hz notch filter is -35 dB. Using this filter is optional because it causes EEG integrity problems in frequencies ranging from 40 to 60 Hz. © Copyright AAMI 2020.
引用
收藏
页码:346 / 351
页数:5
相关论文
共 32 条
[1]  
Okolo C, Omurtag A., Use of dry electroencephalogram and support vector for objective pain assessment, Biomed Instrum Technol, 52, 5, pp. 372-378, (2018)
[2]  
Ba Fadheel, Mahdi AJ, Jaafar HF, Et al., Speed control of a wheelchair prototype driven by a DC Motor through real EEG brain signals, IOP Conference Series Materials Science and Engineering, 671, (2020)
[3]  
Abdulkader SN, Atia A, Mostafa MM., Brain computer interfacing: applications and challenges, Egyptian Informatics Journal, 16, 2, pp. 213-230, (2015)
[4]  
Dondelinger RM., Sleep studies, Biomed Instrum Technol, 43, 6, pp. 458-462, (2009)
[5]  
Shin HW, Kim HJ, Jang YK, Et al., Monitoring of anesthetic depth and EEG band power using phase lag entropy during propofol anesthesia, BMC Anesthesiol, 20, 1, (2020)
[6]  
Richards D, Clarke CE, Clark T, The Human Brain and Its Disorders, (2007)
[7]  
Dondelinger RM., Electroencephalographs, Biomed Instrum Technol, 43, 5, pp. 388-391, (2009)
[8]  
Teplan M., Fundamentals of EEG Measurement, Measurement Science Review, 2, 2, pp. 1-11, (2002)
[9]  
Satheesh Kumar J, Bhuvaneswari P., Analysis of electroencephalography (EEG) signals and its categorization: a study, Procedia Engineering, 38, pp. 2525-2536, (2012)
[10]  
Saadi H, Attari M, Escid H., Noise optimization of cmos front-end amplifier for embedded biomedical recording, Arabian Journal for Science and Engineering, 45, pp. 1961-1968, (2020)