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A Personalized Compression Method for Steady-State Visual Evoked Potential EEG Signals

Sitao Zhang, Kainan Ma, Yibo Yin, Binbin Ren, Ming Liu
2022 Information  
As an informative electroencephalogram (EEG) signal, steady-state visual evoked potential (SSVEP) stands out from many paradigms for application in wireless wearable devices.  ...  This paper proposes a personalized EEG compression and reconstruction algorithm for the SSVEP application.  ...  Institutional Review Board Statement: Not applicable for studies not involving humans or animals. Informed Consent Statement: Not applicable for studies not involving humans.  ... 
doi:10.3390/info13040186 fatcat:qhshmwvgwvgmfl7kizz6kptaxi

EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs)

Laura Acqualagna, Sebastian Bosse, Anne K Porbadnigk, Gabriel Curio, Klaus-Robert Müller, Thomas Wiegand, Benjamin Blankertz
2015 Journal of Neural Engineering  
We follow an alternative approach to the measurement problem investigating steady state visual evoked potentials (SSVEPs) as EEG correlates of quality changes.  ...  Recent studies exploit the neural signal recorded via electroencephalography (EEG) to get a more objective measurement of perceived video quality.  ...  In this study, we investigated an EEG-based approach to video quality assessment, exploiting steady state visual evoked potentials (SSVEPs).  ... 
doi:10.1088/1741-2560/12/2/026012 pmid:25768913 fatcat:45gqiqpzwnf5bhwmqlunm2vnty

In-Ear EEG From Viscoelastic Generic Earpieces: Robust and Unobtrusive 24/7 Monitoring

Valentin Goverdovsky, David Looney, Preben Kidmose, Danilo P. Mandic
2016 IEEE Sensors Journal  
We demonstrate that such a device can be readily used for the measurement of various EEG responses.  ...  The analysis highlights the distinguishing advantages compared to the current state-of-theart in ear-EEG.  ...  Here we validate the generic earpieces in a similar fashion via wellestablished auditory and visual evoked responses: the auditory steady-state response (ASSR) and the steady-state visually evoked potential  ... 
doi:10.1109/jsen.2015.2471183 fatcat:xawmrvnluzbdvkjbr6vke35n24

A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers [article]

Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David Mcalpine, Yu Zhang
2020 arXiv   pre-print
In this article, we systematically investigate brain signal types for BCI and related deep learning concepts for brain signal analysis.  ...  We then present a comprehensive survey of deep learning techniques used for BCI, by summarizing over 230 contributions most published in the past five years.  ...  Depending on the type of stimuli, SSEP divides into three subcategories: Steady-State Visually Evoked Potentials (SSVEP), Steady-State Auditory Evoked Potentials (SSAEP), and Steady-State Somatosensory  ... 
arXiv:1905.04149v5 fatcat:sjz3wvw5vvch3ncxnvflgbob3a

A Prototype SSVEP Based Real Time BCI Gaming System

Ignas Martišius, Robertas Damaševičius
2016 Computational Intelligence and Neuroscience  
We have developed a prototype three-class brain-computer interface system, based on the steady state visually evoked potentials paradigm and the Emotiv EPOC headset.  ...  a linear kernel, and 80.5% using a support vector machine classifier with a radial basis function kernel.  ...  Acknowledgment The authors also would like to acknowledge the contribution of the COST Action IC1303-Architectures, Algorithms and Platforms for Enhanced Living Environments (AAPELE).  ... 
doi:10.1155/2016/3861425 pmid:27051414 pmcid:PMC4804071 fatcat:uds2mnprcvgfnloavgzvxiz7zu

Diagnosis of Alzheimer's Disease from EEG Signals: Where Are We Standing?

Justin Dauwels, Francois Vialatte, Andrzej Cichocki
2010 Current Alzheimer Research  
The paper first describes methods that try to detect slowing of the EEG.  ...  Three major effects of AD on EEG have been observed: slowing of the EEG, reduced complexity of the EEG signals, and perturbations in EEG synchrony.  ...  The aim of [194] was to investigate whether steady state EPs are relevant for diagnosing AD.  ... 
doi:10.2174/1567210204558652050 fatcat:ahfknenhb5hmlkp7mkglxtwvum

Diagnosis of Alzheimers Disease from EEG Signals: Where Are We Standing?

J. Dauwels, F. Vialatte, A. Cichocki
2010 Current Alzheimer Research  
The paper first describes methods that try to detect slowing of the EEG.  ...  Three major effects of AD on EEG have been observed: slowing of the EEG, reduced complexity of the EEG signals, and perturbations in EEG synchrony.  ...  The aim of [194] was to investigate whether steady state EPs are relevant for diagnosing AD.  ... 
doi:10.2174/156720510792231720 pmid:20455865 fatcat:feusoo2h5jbsnpgczzel4ljwi4

A periodogram-based method for the detection of steady-state visually evoked potentials

A.P. Liavas, G.V. Moustakides, G. Henning, E.Z. Psarakis, P. Husar
1998 IEEE Transactions on Biomedical Engineering  
Flicker-burst stimulation-a physiological sensible combination of transient and steady-state stimulation-is used to generate deterministic sinusoidal responses or visually evoked potentials (VEP's) at  ...  Based on the periodogram of a time-series, we test the data for the presence of hidden periodic components, which correspond to steady-state VEP's. The method is applied successfully to real data.  ...  In our experiment, we combine both steady-state and transient stimulation methods to a flicker-burst stimulation.  ... 
doi:10.1109/10.661272 pmid:9473847 fatcat:5ixpc2444zeanpvbq63ljj6a5e

EEG Signal Processing for BCI Applications [chapter]

A. Roman-Gonzalez
2012 Advances in Intelligent and Soft Computing  
the environment, for which a braincomputer interface has been implemented through the acquisition of EEG signals by electrodes and implementation of algorithms to extract characteristics and execute a  ...  able to catch and measure EEG signals.  ...  A brain-computer interface is a communication system for generating a control signal from brain signals such as EEG and evoked potentials.  ... 
doi:10.1007/978-3-642-23187-2_36 fatcat:zpzu2e7keveahkqgziqtnwwdn4

Past, Present, and Future of EEG-Based BCI Applications

Kaido Värbu, Naveed Muhammad, Yar Muhammad
2022 Sensors  
In this review, the equipment used for gathering EEG data and signal processing methods have also been reviewed.  ...  An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that provides a pathway between the brain and external devices by interpreting EEG.  ...  The visual evoked potential paradigm also involves the visual P300 paradigm and the steady state visual evoked potential paradigm [1] .  ... 
doi:10.3390/s22093331 pmid:35591021 pmcid:PMC9101004 fatcat:gn6bt4uqavenzbu3nkt32de42m

Review on using physiology in quality of experience

Sebastian Arndt, Kjell Brunnström, Eva Cheng, Ulrich Engelke, Sebastian Möller, Jan-Niklas Antons
2016 IS&T International Symposium on Electronic Imaging Science and Technology  
However, sometimes it is difficult for observers to communicate the experienced quality through the given scale.  ...  To overcome these issues, one approach is to use physiological measures, in order to derive a direct non-verbal response of the recipient.  ...  In contrast to the other studies presented in this section, the authors evoked a steady state visual evoked potential (SSVEP) which is a response being elicited by the visual cortex when presenting flickering  ... 
doi:10.2352/issn.2470-1173.2016.16.hvei-125 fatcat:hn4ftfl7ljajhkzuzr32r22vqa

Protection of BCI system via reversible watermarking of EEG signal

S. Bhalerao, I.A. Ansari, A. Kumar
2020 Electronics Letters  
This work introduces a security block in the BCI system that can ensure that the recorded EEG signals are intact at the receiving end of wireless BCI system.  ...  In the wireless BCI system, there is always a possibility of EEG signal tampering/attacking during transmission, which may result in malfunction of the BCI system.  ...  An example of this paradigm is steady-state visually evoked potential (SSVEP) method; in this method, frequency-modulated visual stimulus is provided to the subject which affects the visual cortex.  ... 
doi:10.1049/el.2020.2532 fatcat:j52wlv7fr5gbbnh2sp3tectexq

Review on EEG-Based Authentication Technology

Shuai Zhang, Lei Sun, Xiuqing Mao, Cuiyun Hu, Peiyuan Liu, Luis Javier Herrera
2021 Computational Intelligence and Neuroscience  
This review mainly introduced the method of EEG-based authentication and systematically introduced EEG-based biometric cryptosystems for authentication for the first time.  ...  Finally, the existing problems and future development directions of identity authentication technology based on EEG signals are proposed, providing a reference for the related studies.  ...  To generate stable and strong correlation signals, exogenous evoked events are often used as repetitive sensory stimuli, for example, steady-state visually evoked potential (SSVEP).  ... 
doi:10.1155/2021/5229576 pmid:34976039 pmcid:PMC8720016 fatcat:gjmcu3362rhqzbpbpofkrvfpnu

Automated Artifact Removal in EEG Signals of Brain Computer Interface using Wavelets and ICA

The most generally utilized system for getting BCI control signals from the brain is the electroencephalogram (EEG).  ...  In the proposed paper, BCI framework towards an EEG chronicles are reviewed into and found that the expansion of a counterfeit motion toward it, which is brought about by eye flickers, eye development,  ...  P300 Evoked Potentials: Because of inconsistent sound-related, visual, or somatosensory upgrades in the EEG signal P300 evoked possibilities are available in positive pinnacles.  ... 
doi:10.35940/ijitee.j9068.1081219 fatcat:xlj43urf75e3thkl2mfkpxndpi

Brain-Computer Interface: Advancement and Challenges

M F Mridha, Sujoy Chandra Das, Muhammad Mohsin Kabir, Aklima Akter Lima, Md Rashedul Islam, Yutaka Watanobe
2021 Sensors  
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc.  ...  In addition, a brief overview of the technologies or hardware, mostly sensors used in BCI, is appended.  ...  Steady-State Evoked Potentials (SSEP) and P300 are two of the most well-evoked signals.  ... 
doi:10.3390/s21175746 pmid:34502636 pmcid:PMC8433803 fatcat:gt5v46mr5nhjvptosklmvq2ria
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