Development of LabVIEW Platform for EEG Signal Analysis

被引：0
|
作者：
Wadekar, Richa S. [1 ]
Kasambe, Prashant, V [2 ]
Rathod, Surendra S. [2 ]
机构：
[1] Sardar Patel Inst Technol, Dept Elect & Telecommun, Mumbai, Maharashtra, India
[2] Sardar Patel Inst Technol, Dept Elect, Mumbai, Maharashtra, India
来源：
PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL (I2C2) | 2017年
关键词：
EEG sensor; Neurosky; Signal processing; LabVIEW;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the most popular technique in the field of medical and research known as EEG (Electroencephalogram) is used in the analysis purpose for brain related abnormalities. It is extremely important to achieve accurate readings for the signal classification and signal representation. The purpose of this project was to develop a platform using LabVIEW software to acquire and record live EEG signal and to evaluate it based on certain parameters. The EEG signal was bifurcated into band named as delta band, theta band, alpha band, beta band. Here emphasis was set on the low cost raw acquisition of EEG signal with the help of a Neurosky headset. Furthermore, we discuss about the signal conditioning and signal processing to provide a platform for detecting abnormalities in EEG signals and remote monitoring based on parameters such as mean, standard deviation and variance, through the Neurosky headset device using LabVIEW.
引用
收藏
页数：5
相关论文
共 50 条
  • [41] Analysis of Conscious Alert System from EEG data using LabVIEW
    Babu, C. Ganesh
    Kumar, R. Hari
    Sampath, P.
    Bhuvaneshwari, P.
    Dharanya, M.
    [J]. 2018 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2018,
  • [42] Development of a Signal Acquisition Platform for Respiratory Assistance
    Garcia Rozo, Antonio
    Mendez Chavez, Diego
    Penuela, Lina
    Rivera, Jaime
    Torres, Jorge
    [J]. 2010 FIRST IEEE LATIN AMERICAN SYMPOSIUM ON CIRCUITS AND SYSTEMS (LASCAS), 2010, : 121 - 123
  • [43] Development of Soft Computing Technique for Classification of EEG Signal
    Jawanjalkar, Aditi R.
    Padole, Dinesh V.
    [J]. 2017 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS), 2017,
  • [44] EEG Signal Analysis using Sparse Approximations
    Ravali, Palakurthi
    Babu, J. Sheshagiri
    [J]. 2017 THIRD INTERNATIONAL CONFERENCE ON BIOSIGNALS, IMAGES AND INSTRUMENTATION (ICBSII), 2017,
  • [45] Identifying eye blinks in EEG signal analysis
    Sovierzoski, Miguel A.
    Argoud, Fernanda I. M.
    de Azevedo, Fernando M.
    [J]. 2008 INTERNATIONAL SPECIAL TOPIC CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS IN BIOMEDICINE, VOLS 1 AND 2, 2008, : 318 - +
  • [46] EVALUATION OF PARAMETRIC METHODS IN EEG SIGNAL ANALYSIS
    TSENG, SY
    CHEN, RC
    CHONG, FC
    KUO, TS
    [J]. MEDICAL ENGINEERING & PHYSICS, 1995, 17 (01) : 71 - 78
  • [47] Processing and Analysis of EEG Signal for SSVEP Detection
    Kolodziej, Marcin
    Majkowski, Andrzej
    Oskwarek, Lukasz
    Rak, Remigiusz J.
    Tarnowski, Pawel
    [J]. RECENT DEVELOPMENTS AND ACHIEVEMENTS IN BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2018, 647 : 3 - 21
  • [48] Bayesian Analysis of EEG Signal Frequency Components
    Chilinski, Jedrzej
    Bauer, Waldemar
    Baranowski, Jerzy
    [J]. 2016 21ST INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), 2016, : 767 - 771
  • [49] News and views in signal analysis of the electroencephalogram (EEG)
    Witte, H
    Breidbach, O
    Schmidt, K
    Schwab, M
    [J]. THEORY IN BIOSCIENCES, 1999, 118 (3-4) : 284 - 299
  • [50] Evaluation of parametric methods in EEG signal analysis
    Tseng, S.-Y.
    Chen, R.-C.
    Chong, F.-C.
    Kuo, T.-S.
    [J]. Medical Engineering and Physics, 1995, 17 (01): : 71 - 78
12345