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EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges

Natasha Padfield, Jaime Zabalza, Huimin Zhao, Valentin Masero, Jinchang Ren
2019 Sensors  
Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those using motor-imagery (MI) data, have the potential to become groundbreaking technologies in both clinical and entertainment  ...  This paper reviews state-of-the-art signal processing techniques for MI EEG-based BCIs, with a particular focus on the feature extraction, feature selection and classification techniques used.  ...  Feature Selection Three main feature selection techniques are discussed in this section: (i) principal component analysis (PCA), (ii) filter bank selection, and (iii) evolutionary algorithms (EAs).  ... 
doi:10.3390/s19061423 fatcat:msk42smb7bd6ljqk4pxv6jy3ce

The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN

Mamunur Rashid, Bifta Sama Bari, Md Jahid Hasan, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Ahmad Fakhri Ab Nasir, Anwar P P Abdul Majeed
2021 PeerJ Computer Science  
The common spatial pattern (CSP) has been applied to extract the features from the MI response, and the effectiveness of random forest (RF)-based feature selection algorithm has also been investigated.  ...  The performance of BCIs primarily depends on the efficacy of the feature extraction and feature selection techniques, as well as the classification algorithms employed.  ...  Conversely, evolutionary algorithms (EA) can provide a potential solution by allowing the selection of features based on optimising the system's classification accuracy.  ... 
doi:10.7717/peerj-cs.374 pmid:33817022 pmcid:PMC7959631 fatcat:zlmqcgnlxzhz5eb5b2ygojd7yu

Perceptual coding of digital audio

T. Painter, A. Spanias
2000 Proceedings of the IEEE  
Next, filter bank design issues and algorithms are addressed, with a particular emphasis placed on the modified discrete cosine transform, a perfect reconstruction cosine-modulated filter bank that has  ...  sinusoidal signal components, and linear prediction parameters, as well as hybrid algorithms that make use of more than one signal model.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their constructive comments and corrections.  ... 
doi:10.1109/5.842996 fatcat:jkfvoxg7zrcyxg6fyahe4u73pu

Pore mutation N617D in the skeletal muscle DHPR blocks Ca2+ influx due to atypical high-affinity Ca2+ binding

Anamika Dayal, Monica L Fernández-Quintero, Klaus R Liedl, Manfred Grabner
2021 eLife  
Here we characterize the permeability and selectivity properties and henceforth the mechanism of Ca2+ non-conductance of DHPR(N617).  ...  Although DHPR Ca2+ influx is irrelevant for EC coupling, its putative role in other muscle-physiological and developmental pathways was recently examined using two distinct genetically engineered mouse  ...  Acknowledgements This study was supported by the Austrian Science Fund (Fonds zur Fö rderung der Wissenschaftlichen Forschung, FWF) Research grants P23229-B09 (to M.G.), P27392-B21 (to MG and AD).  ... 
doi:10.7554/elife.63435 pmid:34061024 pmcid:PMC8184209 fatcat:7o4xrbiadbb4fkwhj47gjykqse

Neonatal Seizure Detection Using Deep Convolutional Neural Networks

Amir H. Ansari, Perumpillichira J. Cherian, Alexander Caicedo, Gunnar Naulaers, Maarten De Vos, Sabine Van Huffel
2018 International Journal of Neural Systems  
of 77% using a test set of EEG recordings of 22 neonates that also included dubious seizures.  ...  The newly proposed CNN classifier outperformed three data-driven feature-based approaches and performed similar to a previously developed heuristic method.  ...  in EEG analysis: Cecotti and Graeser used a CNN embedded with a Fourier transform to classify steady-state visual evoked potential activities. 40 Furthermore, they also developed some CNN methods for  ... 
doi:10.1142/s0129065718500119 pmid:29747532 fatcat:lxnu3iyui5gbnbe7czyyepg3q4

Proceedings: ISBET 200 – 14th World Congress of the International Society for Brain Electromagnetic Topography, November 19-23, 2003

Yoshio Okada
2003 Brain Topography  
Curry integrates functional imaging such as fMRI with EEG and MEG source reconstruction to allow the comparison of results and to enhance the validity of solutions.  ...  Signals are displayed in selectable layouts, and multiple response categories can be overlayed and subjected to mathematical operations.  ...  We present a novel covariance-based algorithm that improves the signal-to-noise ratio (SNR) of multi-epoch data, and we apply it to visual evoked MEG recordings.  ... 
doi:10.1023/b:brat.0000019284.29068.8d fatcat:tpvp3dcojrczjkuzcu3xefyizy

Quantification of Epileptiform Electroencephalographic Activity during Sevoflurane Mask Induction

Mika O. K. Särkelä, Miikka J. Ermes, Mark J. van Gils, Arvi M. Yli-Hankala, Ville H. Jäntti, Anne P. Vakkuri
2007 Anesthesiology  
The lower frequency band was used for monophasic pattern monitoring, and the higher frequency band was used for spike activity monitoring.  ...  Sevoflurane may induce epileptiform electroencephalographic activity leading to unstable Bispectral Index numbers, underestimating the hypnotic depth of anesthesia.  ...  or distinctly localized signals, such as spikes and bursts. 16 The Mallat algorithm computes the discrete wavelet transform using a cascade implementation of filter banks of two quadrature mirror filters  ... 
doi:10.1097/ pmid:18043061 fatcat:qiqni7vwwzbyzih6lqmoqkxxbe

Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review

Nibras Abo Alzahab, Luca Apollonio, Angelo Di Iorio, Muaaz Alshalak, Sabrina Iarlori, Francesco Ferracuti, Andrea Monteriù, Camillo Porcaro
2021 Brain Sciences  
Recently, hybrid Deep Learning (hDL), which combines different DL algorithms, has gained momentum over the past five years.  ...  Significance: To give useful information to the scientific community, we make our summary table of hDL-based BCI papers available and invite the community to published work to contribute to it directly  ...  The authors acknowledge all of the anonymous reviewers for their constructive comments that helped to improve the quality of this review paper.  ... 
doi:10.3390/brainsci11010075 pmid:33429938 fatcat:mh6naeofzjahjbi4bikub65i2i

Statistical Coding and Decoding of Heartbeat Intervals

Fausto Lucena, Allan Kardec Barros, José C. Príncipe, Noboru Ohnishi, Vladimir Brezina
2011 PLoS ONE  
The key question, however, has been to understand how the neural circuitry self-organizes these feature detectors to select behaviorally relevant information.  ...  Herein we investigate whether the cardiac system makes use of a redundancy reduction strategy to regulate the cardiac rhythm.  ...  Acknowledgments The authors wish to thank Toru Kawada for providing the physiological dataset. The authors would also like to thank Andre B.  ... 
doi:10.1371/journal.pone.0020227 pmid:21694763 pmcid:PMC3111410 fatcat:p2gy5gbo2zh5rpjbkcfqgh7zim

Review of the State-of-the-Art of Brain-Controlled Vehicles

Amin Hekmatmanesh, Pedro H. J. Nardelli, Heikki Handroos
2021 IEEE Access  
ERS), Readiness Potentials (RP), and Local Evoked Potentials (LEP).  ...  In the procedure, Filter Bank CSP (FBCSP) features were optimized using the Discrimination Sensitive Learning Vector Quantization (DSLVQ) training algorithm, and then, different combinations of classifiers  ... 
doi:10.1109/access.2021.3100700 fatcat:ec3bgmicmrdrfnjbmfem5gfnri

Children of time: the extended synthesis and major metaphors of evolution

Daniel R. Brooks, Salvatore J. Agosta
2012 Zoologia (Curitiba)  
We make our case through the use of a number of metaphorical dualisms designed to help focus discussions toward a more cooperative and productive approach to the study of living systems.  ...  It is time for an expansion and enrichment of evolutionary theory.  ...  ACKNOWLEDGMENTS We express our thanks to the editors of Zoologia for inviting us to contribute to this celebration.  ... 
doi:10.1590/s1984-46702012000600002 fatcat:6laxqhkvubhylnnhk7qggk4k2i

The sensory-motor theory of rhythm and beat induction 20 years on: a new synthesis and future perspectives

Neil P. M. Todd, Christopher S. Lee
2015 Frontiers in Human Neuroscience  
A third is the finding that vestibular receptors contribute to auditory evoked potentials (Todd et al., 2014a,b).  ...  In this paper we suggest four propositions as the basis for such a synthesis. (1) Rhythm perception is a form of vestibular perception; (2) Rhythm perception evokes both external and internal guidance  ...  The results showed that the evoked auditory N2 potential was enhanced in regular as compared with random stimuli.  ... 
doi:10.3389/fnhum.2015.00444 pmid:26379522 pmcid:PMC4549635 fatcat:3xqzsfqv5nbe7ldi4bjuf62yoq

Clinical Brain-Computer Interface Challenge 2020 (CBCIC at WCCI2020): Overview, methods and results

Anirban Chowdhury, Javier Andreu-perez
2021 IEEE Transactions on Medical Robotics and Bionics  
Thus the newly proposed algorithms to enhance the performance of BCI technology are very often tested against the healthy subjects' datasets only, which doesn't guarantee their success on patients' datasets  ...  In order to partially mitigate this scarcity, Clinical BCI Challenge aimed to provide an open-access rich dataset of stroke patients recorded similar to a neurorehabilitation paradigm.  ...  The data was recorded as a part of a DST-UKIERI project led by Prof. Girijesh Prasad (Ulster University, UK) and Prof.  ... 
doi:10.1109/tmrb.2021.3098108 fatcat:htslktksxnd4tdosox337ly4vq

Harnessing plasticity to understand learning and treat disease

Michael P. Kilgard
2012 Trends in Neurosciences  
Specifically, a new model is proposed in which map expansion provides a form of replication with variation that supports a Darwinian mechanism to select the most behaviorally useful circuits.  ...  A large body of evidence suggests that neural plasticity contributes to learning and disease.  ...  Acknowledgments A special thanks to Aage Moller, Dean Buonomano  ... 
doi:10.1016/j.tins.2012.09.002 pmid:23021980 pmcid:PMC3508154 fatcat:ejyndlnv3vdnjga7qsztgwibsa

A $\mu $-Rhythm Matched Filter for Continuous Control of a Brain-Computer Interface

Dean J. Krusienski, Gerwin Schalk, Dennis J. McFarland, Jonathan R. Wolpaw
2007 IEEE Transactions on Biomedical Engineering  
use them to control a cursor on a computer screen.  ...  His research interests include brain-computer interfaces, adaptive filtering, evolutionary algorithms, biomedical signal processing, computational intelligence, neural networks, and blind source separation  ...  This is equivalent to an FIR filter bank of phase shifted template waveforms, though it is realistic to use a smaller subset of shifts at high sampling rates.  ... 
doi:10.1109/tbme.2006.886661 pmid:17278584 fatcat:qhjzcc3tbzhgvfy3qxczrlfzwa
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