Real Time Eye Blink Extraction Circuit Design from EEG Signal for ALS Patients

doi:10.1007/s40846-017-0357-7

	Real Time Eye Blink Extraction Circuit Design from EEG Signal for ALS Patients
	Ranjan, Rakesh 1; Arya, Rajeev 1; Kshirsagar, Poonam 1; Jain, Vinay 2; Jain, Deepak K.3; Sangaiah, Arun Kumar 4
刊名	JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
	2018-12-01
卷号	38 期号:6 页码:933-942
关键词	Amyotrophic lateral sclerosis (ALS) Electroencephalogram (EEG) Eye blinks Brain-computer interface (BCI) Brain waves
ISSN号	1609-0985
DOI	10.1007/s40846-017-0357-7
通讯作者	Ranjan, Rakesh(rakeshranjan385@gmail.com)
英文摘要	The paper explores the detail design of electroencephalogram (EEG) based eye blink circuit module for Amyotrophic Lateral Sclerosis (ALS) patients using the Multisim Circuit design software. The EEG gives information about physiological function. It is the recording of electrical activity of the brain waves. The brain wave signal is a random, frequency domain and non-stationary signal. It is not easy to get the information from EEG signals in the time domain. Some biological artifacts (Eye blink artifacts, EMG artifacts and ECG) and technical artifacts (amplitude artifact, noise present in the power source artifact etc.) are the some artifacts in EEG signals. Eye blinks is considered as one of the important artifact for feature extraction of EEG signal. Hence, Eye blinks act as control or input signal in this paper. The goal of this paper is tracking an eye blink of a person from EEG signal sequences and extracts only intentionally eye blinks. In this work the patient EEG data is acquired, amplified and filtered. The filtered data is compared with the reference voltage level of the eye blink signal. In this way the eye blinks are extracted from ALS patient EEG data. Thus, The EEG based eye blink extraction circuit for ALS patient has been successfully designed and simulated on Multisim circuit design software. The future goal is to establish a communication channel for the patents suffering from motor disabilities using this biological artifact.
WOS关键词	COMMUNICATION ; ARTIFACT ; REMOVAL ; QUALITY ; SYSTEM
WOS研究方向	Engineering
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000450528300009
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/25691]
专题	中国科学院自动化研究所
通讯作者	Ranjan, Rakesh
作者单位	1.CMR Engn Coll, Dept ECE, Hyderabad, Telangana, India 2.Jaypee Univ Engn & Technol, Dept CSE, Guna, India 3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 4.VIT Univ, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India
推荐引用方式 GB/T 7714	Ranjan, Rakesh,Arya, Rajeev,Kshirsagar, Poonam,et al. Real Time Eye Blink Extraction Circuit Design from EEG Signal for ALS Patients[J]. JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING,2018,38(6):933-942.
APA	Ranjan, Rakesh,Arya, Rajeev,Kshirsagar, Poonam,Jain, Vinay,Jain, Deepak K.,&Sangaiah, Arun Kumar.(2018).Real Time Eye Blink Extraction Circuit Design from EEG Signal for ALS Patients.JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING,38(6),933-942.
MLA	Ranjan, Rakesh,et al."Real Time Eye Blink Extraction Circuit Design from EEG Signal for ALS Patients".JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING 38.6(2018):933-942.