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Design and Implementation of Prototype for Portable and Wireless EEG Device

Hasan BİTAR, Cengiz TEPE
2021 European Journal of Science and Technology  
In the software section, a smartphone application interface is developed for that the measured raw EEG signal and rhythms can be displayed in real-time.  ...  In the hardware section, electronic circuit design and implementation are provided for measuring, amplifying, filtering, extracting EEG rhythms, and wirelessly transmitting the EEG signal.  ...  Graphs of the obtained EEG signal (a) Raw state, (b) Alpha rhythm, and (c) Beta rhythm  ... 
doi:10.31590/ejosat.1016694 fatcat:p2k5prx5jngcrjubocjd52d2ga

Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors

Lun-De Liao, Chi-Yu Chen, I-Jan Wang, Sheng-Fu Chen, Shih-Yu Li, Bo-Wei Chen, Jyh-Yeong Chang, Chin-Teng Lin
2012 Journal of NeuroEngineering and Rehabilitation  
We have also demonstrated a real-time cognitive stage detection application of gaming control using the proposed portable device.  ...  In the present study, a wearable, wireless and portable EEG-based BCI device with dry foam-based EEG sensors was developed and was demonstrated using a gaming control application.  ...  The average power within the alpha band P a is obtained by averaging the value of Y in the range from 8 to 12 Hz. PR a is the inverse of this average power in the alpha rhythm.  ... 
doi:10.1186/1743-0003-9-5 pmid:22284235 pmcid:PMC3283495 fatcat:ib3bqrqdv5b3vgfsdsodw54epm

Drowsiness detection for single channel EEG by DWT best m-term approximation

Tiago da Silveira, Alice de Jesus Kozakevicius, Cesar Ramos Rodrigues
2015 Research on Biomedical Engineering  
related to the alpha and beta rhythms.  ...  In this paper we propose a promising new technique for drowsiness detection.  ...  Hit rates higher than 94% were obtained by applying a sequential discounted autoregressive algorithm on a digital filtered EEG for detecting alpha spindles.  ... 
doi:10.1590/2446-4740.0693 fatcat:5aqz56amt5gyhayzdpeacifymq

A Spectral Power based Index using Wavelet Analysis of EEG for Drowsiness Detection

Yashwanth Vyza, Suman Dabbu, Malini Mudigonda
2022 International Journal of Computer Applications  
One such prospective application for the next generation of portable electroencephalogram (EEG) signal processing systems is to prevent hazards in attention-demanding activities.  ...  This work demonstrates a methodology for assessing alertness level based on a single EEG channel (PzOz), allowing the reduction of the required hardware and the computational time of the algorithms.  ...  Furthermore, the demand for methodologies based on fewer channels (Yu et al., 2013 [21] ) has increased in the present decade because of the blooming of portable devices.  ... 
doi:10.5120/ijca2022921731 fatcat:m2jy2jiv3vaqpgob22nqojkl2i

A Real-Time Wireless Brain–Computer Interface System for Drowsiness Detection

Chin-Teng Lin, Che-Jui Chang, Bor-Shyh Lin, Shao-Hang Hung, Chih-Feng Chao, I-Jan Wang
2010 IEEE Transactions on Biomedical Circuits and Systems  
A real-time wireless electroencephalogram (EEG)based brain-computer interface (BCI) system for drowsiness detection has been proposed.  ...  Index Terms-Drowsiness detection, electroencephalogram (EEG), brain-computer interface (BCI).  ...  In this study, we proposed a real-time wireless EEG-based brain-computer interface (BCI) system for drowsiness detection. There are some studies regarding the portable BCI devices [29] - [32] .  ... 
doi:10.1109/tbcas.2010.2046415 pmid:23853367 fatcat:73qycattgrbjhccre33jzgh6qa

An Improved EEG De-noising Approach in Electroencephalogram (EEG) for Home Care

Hong Peng, Bin Hu, Yanbing Qi, Qinglin Zhao, Martyn Ratcliffe
2011 Proceedings of the 5th International ICST Conference on Pervasive Computing Technologies for Healthcare  
In home environments without the supervision of a physician and absence of electromagnetic shielding, the raw EEG data, especially the most important alpha rhythm, which can be used to detect the mental  ...  In this paper, the raw data is processed in two steps: step one is a pre-process to remove DC adrift and 50/60Hz AC.  ...  ., EEG. A. The alpha band of EEG and Importance of alpha rhythm The EEG is a record of the oscillations of brain recorded from electrodes on the human scalp.  ... 
doi:10.4108/icst.pervasivehealth.2011.246021 dblp:conf/ph/PengHQZR11 fatcat:yg3b7p7uxnfddl5zar2nmdejka

Controlling Electronic Devices with Brain Rhythms/Electrical Activity Using Artificial Neural Network (ANN)

Yar Muhammad, Daniil Vaino
2019 Bioengineering  
The aim of the software was to separate important rhythms such as alpha, beta, gamma and delta from other EEG signals.  ...  BCI is an emerging technology which focuses on communication between software and hardware and permitting the use of brain activity to control electronic devices, such as wheelchairs, computers and robots  ...  Most of the devices described in this article are based on the principle of EEG-they measure the amount of alpha rhythm and are controlled through the relaxation/concentration of attention which allows  ... 
doi:10.3390/bioengineering6020046 pmid:31108931 pmcid:PMC6631339 fatcat:h6sevmyqzvcwvconzup4rkxdy4

Review of Wireless Brain-Computer Interface Systems [chapter]

Seungchan Lee, Younghak Shin, Soogil Woo, Kiseon Kim, Heung-No Lee
2013 Brain-Computer Interface Systems - Recent Progress and Future Prospects  
Also, they have developed a real-time drowsiness detection algorithm. The algorithm detects the user's drowsiness by analyzing the theta rhythm and the alpha rhythm of the EEG signals.  ...  These cognitive states are related to the power changes of specific rhythms, called alpha, beta, theta rhythms and so on.  ... 
doi:10.5772/56436 fatcat:fuz5zloxevgppigi5neowkj36e

Page 646 of Behavior Research Methods Vol. 10, Issue 5 [page]

1978 Behavior Research Methods  
Several EEG biofeedback systems have been described (see Paskewitz, 1975, for a review) that are based on different signal-detection paradigms.  ...  The alpha-detection system presented in this paper uses a relatively simple analog filtering amplitude threshold method that is inexpensive, compact, portable, and flexible.  ... 

Brain Computer Interface-Based Smart Living Environmental Auto-Adjustment Control System in UPnP Home Networking

Chin-Teng Lin, Bor-Shyh Lin, Fu-Chang Lin, Che-Jui Chang
2014 IEEE Systems Journal  
Moreover, different from other BCI systems, the property of using only a single EEG channel to monitor cognitive state also makes BSLEACS become more practicable.  ...  Based on the advantage of our technique on brain computer interface (BCI), we integrated the BCI technique with universal plug and play (UPnP) home networking for smart house applications.  ...  Real-Time Cognitive State Detection Algorithm Previous studies have shown that EEG spectra in theta rhythm (4-7 Hz) and alpha rhythm (8-11 Hz) usually reflect the changes of drowsiness and alertness [  ... 
doi:10.1109/jsyst.2012.2192756 fatcat:hzlasthty5cs5a56tgm5mryldy

Quantitative EEG Data and Comprehensive ADL (Activities of Daily Living) Evaluation of Stroke Survivors Residing in the Community

Takao Yuasa, Akira Maeda, Shigekazu Higuchi, Yutaka Motohashi
2001 Journal of Physiological Anthropology and Applied Human Science  
l k 10 me tr e s ) a n d bi o s o ci a l synchronization (the questionnaire on biosocial rhythms of daily living).  ...  EEG was undertaken using a computerassisted portable EEG recorder. The power spectra were computed using a fast Fourier transformation analysis (FFT).  ...  BMI is a portable one-channel EEG recording apparatus that is connected to a personal computer.  ... 
doi:10.2114/jpa.20.37 pmid:11320778 fatcat:2eybmjyxqvfcdhclfspktckphm

A Comparison of Traditional and Serious Game-Based Digital Markers of Cognition in Older Adults with Mild Cognitive Impairment and Healthy Controls

Paraskevi Iliadou, Ioannis Paliokas, Stelios Zygouris, Eftychia Lazarou, Konstantinos Votis, Dimitrios Tzovaras, Magdalini Tsolaki
2021 Journal of Alzheimer's Disease  
Brain activity was measured with a non-intrusive wearable EEG device in a resting state condition and while they were administered the VST.  ...  MoCA correlated with alpha, beta, delta, and theta rhythms and with average game duration and mean game errors indicating that elevated EEG rhythms in MCI may be associated with an overall cognitive decline  ...  studies (for all EEG 554 rhythms) were focused on resting state EEG, only a 555 few studies were focused on task-related EEG power 556 changes.  ... 
doi:10.3233/jad-201300 pmid:33459650 fatcat:a6mvlifh7fcqzkzfbm3dsj75gu

Insight2Osc: Using The Brain And The Body As A Musical Instrument With The Emotiv Insight

Constanza Levican, Andres Aparicio, Vernon Belaunde, Rodrigo Cadiz
2017 Zenodo  
The Emotiv Insight is a low-cost EEG apparatus that outputs several kinds of data, such as EEG rhythms or facial expressions, from the user's brain activity.  ...  There are no "plug-n-play" solutions for a BCMI, these kinds of tools usually require the setup and implementation of particular software configurations, customized for each EEG device.  ...  The most used rhythms on BCI system are alpha (8-13 Hz) and beta (14-20 Hz) [9] . Alpha is higher in a relaxed situation [14] .  ... 
doi:10.5281/zenodo.1176254 fatcat:6sx6ifnszfh3fg44eydvzarjqa

Fuzzy Algorithm for Human Drowsiness Detection Devices

Simona DZITAC, Tiberiu VESSELENYI, Laurenţiu POPPER, Ioan MOGA, Călin D. SECUI
2010 Studies in Informatics and Control  
Our research is based on the study of EEG and EMG signals and aims to develop algorithms capable to detect features specific to the drowsiness state and decide the moment in which the driver or operator  ...  If drowsiness is detected in time, a significant part of these accidents could be successfully prevented.  ...  The second task is that of producing an EEG signal with a major alpha rhythm component by reaching a highly relaxed state.  ... 
doi:10.24846/v19i4y201010 fatcat:jftukkyujrf6ji6zkgkjz2kmlm

Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes during Simulated Driving

Faramarz Gharagozlou, Gebraeil Nasl Saraji, Adel Mazloumi, Ali Nahvi, Ali Motie Nasrabadi, Abbas Rahimi Foroushani, Ali Arab Kheradmand, Mohammadreza Ashouri, Mehdi Samavati
2015 Iranian Journal of Public Health  
Continuous EEG and EOG records were taken during driving on a virtual reality simulator on a monotonous road.  ...  The study suggested that variations in alpha power could be a good indicator for driver mental fatigue, but for using as a countermeasure device needed further investigations.  ...  Discussion This study attempted to present a simple and reliable method for early detection of driver mental fatigue based on EEG alpha power in healthy sleep deprived drivers.  ... 
pmid:26811821 pmcid:PMC4724743 fatcat:luf53r6u5ngxfdw4bce4enuko4
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