Brain Computer Interface Decoding Performance Using Eeg Error Related Potentials

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Brain Computer Interface Decoding Performance Using EEG Error Related Potentials

Author : Praveen Kumar
Publisher : Mohammed Abdul Sattar
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.2/5 (236 download)

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Book Synopsis Brain Computer Interface Decoding Performance Using EEG Error Related Potentials by : Praveen Kumar

Download or read book Brain Computer Interface Decoding Performance Using EEG Error Related Potentials written by Praveen Kumar and published by Mohammed Abdul Sattar. This book was released on 2023-06-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain Computer Interface (BCI) decoding performance refers to the accuracy and reliability with which a BCI system can interpret and decode brain signals obtained through EEG (Electroencephalography) recordings, specifically focusing on error-related potentials (ErrPs). BCIs are innovative systems that allow direct communication and control between the human brain and external devices, such as computers or prosthetic limbs. EEG is a non-invasive technique that measures the electrical activity of the brain using electrodes placed on the scalp. It captures neural signals that represent various cognitive and motor processes. Error-related potentials (ErrPs) are specific brainwave patterns generated in response to the occurrence or anticipation of errors during cognitive tasks or feedback. They can be detected and extracted from EEG recordings and used as informative markers in BCI systems. ErrPs provide valuable insights into the user's cognitive processes, including error detection, error monitoring, and response correction. The decoding performance of a BCI system using EEG ErrPs is a crucial aspect of its effectiveness and usability. It involves the development and application of signal processing techniques, machine learning algorithms, and classification methods to accurately interpret the neural activity captured by EEG electrodes. To achieve high decoding performance, various steps are involved. These include signal preprocessing, artifact rejection, feature extraction, and selection, as well as spatial and temporal filtering techniques. Additionally, machine learning algorithms are employed to train the system to classify and interpret the extracted features. The choice of appropriate classification algorithms plays a significant role in determining the system's accuracy and real-time performance. Improving BCI decoding performance using EEG ErrPs has wide-ranging applications. It can facilitate advancements in neurofeedback, allowing individuals to enhance their cognitive control and self-regulation. BCIs using ErrPs have potential therapeutic applications in neurorehabilitation for individuals with neurological disorders or motor impairments. They can also enable assistive technology for individuals with limited motor control, providing alternative means of communication and control. Overall, the study and enhancement of BCI decoding performance using EEG ErrPs contribute to the development of more robust and reliable brain-machine interfaces, paving the way for improved human-computer interaction and the integration of neural interfaces into various fields of research and everyday life. Brain-Computer Interface (BCI) technology is poised to have a profound impact on people with severe communication and control disabilities due to locked-in syndrome (LIS). The patients suffering from LIS are paralyzed with no voluntary control over their motor movement and speech, despite intact cognition . The LIS can result from a variety of clinical conditions, including stroke, Spinal Cord Injury (SCI), motor neuron disease, most notably Amyotrophic Lateral Sclerosis (ALS), etc. BCI systems bypass the natural communication pathway between the brain and peripheral nervous system and provide an alternative pathway for communication and control. Thus, the BCI system decodes the neuronal signatures from the acquired brain signals and then translates the decoded output to control an external device.

Enhancing the Decoding Performance of Steady-state Visual Evoked Potentials Based Brain-computer Interface

Author : Aravind Ravi
Publisher :
ISBN 13 :
Total Pages : 71 pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Enhancing the Decoding Performance of Steady-state Visual Evoked Potentials Based Brain-computer Interface by : Aravind Ravi

Download or read book Enhancing the Decoding Performance of Steady-state Visual Evoked Potentials Based Brain-computer Interface written by Aravind Ravi and published by . This book was released on 2019 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-invasive Brain-Computer Interfaces (BCIs) based on steady-state visual evoked potential (SSVEP) responses are the most widely used BCI. SSVEP are responses elicited in the visual cortex when a user gazes at an object flickering at a certain frequency. In this thesis, we investigate different BCI system design parameters for enhancing the detection of SSVEP such as change in inter-stimulus distance (ISD), EEG channels, detection algorithms and training methodologies. Closely placed SSVEP stimuli compete for neural representations. This influences the performance and limits the flexibility of the stimulus interface. In this thesis, we study the influence of changing ISD on the decoding performance of an SSVEP BCI. We propose: (i) a user-specific channel selection method and (ii) using complex spectrum features as input to a convolutional neural network (C-CNN) to overcome this challenge. We also evaluate the proposed C-CNN method in a user-independent (UI) training scenario as this will lead to a minimal calibration system and provide the ability to run inference in a plug-and-play mode. The proposed methods were evaluated on a 7-class SSVEP dataset collected on 21 healthy participants (Dataset 1). The UI method was also assessed on a publicly available 12-class dataset collected on 10 healthy participants (Dataset 2). We compared the proposed methods with canonical correlation analysis (CCA) and CNN classification using magnitude spectrum features (M-CNN). We demonstrated that the user-specific channel set (UC) is robust to change in ISD (viewing angles of 5.24o, 8.53o, and 12.23o) compared to the classic 3-channel set (3C - O1, O2, Oz) and 6-channel set (6C - PO3, PO4, POz, O1, O2, Oz). A significant improvement in accuracy of over 5% (p=0.001) and a reduction in variation of 56% (p=0.035) was achieved across ISDs using the UC set compared to the 3C set and 6C set. Secondly, the proposed C-CNN method obtained a significantly higher classification accuracy across ISDs and window lengths compared to M-CNN and CCA. The average accuracy of the C-CNN increased by over 12.8% compared to CCA and an increase of over 6.5% compared to the M-CNN for the closest ISD across all window lengths was achieved. Thirdly, the C-CNN method achieved the highest accuracy in both UD and UI training scenarios on both 7-class and 12-class SSVEP Datasets. The overall accuracies of the different methods for 1 s window length for Dataset 1 were: CCA: 69.1±10.8%, UI-M-CNN: 73.5±16.1%, UI-C-CNN: 81.6±12.3%, UD-M-CNN: 87.8±7.6% and UD-C-CNN: 92.5±5%. And for Dataset 2 were: CCA: 62.7±21.5%, UI-M-CNN: 70.5±22%, UI-C-CNN: 81.6±18%, UD-M-CNN: 82.8±16.7%, and UD-C-CNN: 92.3±11.1%. In summary, using the complex spectrum features, the C-CNN likely learned to use both frequency and phase related information to classify SSVEP responses. Therefore, the CNN can be trained independent of the ISD resulting in a model that generalizes to other ISDs. This suggests that the proposed methods are robust to changes in inter-stimulus distance for SSVEP detection and provides increased flexibility for user interface design of SSVEP BCIs for commercial applications. Finally, the UI method provides a virtually calibration free approach to SSVEP BCI.

Towards Development of a Robust Asynchronous EEG-BCI Using Error-related Potentials

Author : Rozhin Yousefi
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis Towards Development of a Robust Asynchronous EEG-BCI Using Error-related Potentials by : Rozhin Yousefi

Download or read book Towards Development of a Robust Asynchronous EEG-BCI Using Error-related Potentials written by Rozhin Yousefi and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary goal of brain-computer interface (BCI) research is to provide a means of communication for individuals with severe motor impairments. For BCIs to be widely adopted by patients, they need to have a reliable accuracy. One method to achieve this goal is to automatically correct erroneous classifications by exploiting error-related potentials (ErrPs). The first objective of this research is to explore how does the introduction of error-based autocorrection impact the accuracy of a multi-class active BCI based on non-motor imagery (MI) cognitive tasks. Another unavoidable step toward making BCIs clinically viable is to develop self-paced BCIs that users can control whenever they intend to. The second objective of this research is to investigate the impact of ErrP-based autocorrection on the accuracy of self-paced BCIs based on non-MI cognitive tasks. The first two studies were designed to answer the first research question. In the first study, participants performed multiple iterations of five different cognitive tasks. To simulate errors, a random subset of 20% of the trials were followed by incorrect feedback. An average area-under-the-curve of 0.83 was reached for the detection of ErrPs which confirmed the presence of ErrPs in such BCIs. The second study explored the effect of ErrP-guided error correction in an online three-class active BCI (idle state and two personally selected cognitive tasks). ErrP-based error correction modestly but significantly improved the average online task classification accuracy (+7%) and the information transfer rate (+0.9 bits/min) of the BCI across participants. The third study was designed to answer the second research question. Using a self-paced EEG-BCI based on cognitive tasks, the possibility of improving the BCI performance using ErrPs was investigated. The BCI continuously analyzed the EEG data and displayed real-time feedback as soon as it detected a cognitive task. Then, the BCI analyzed the EEG data after the feedback onset to detect ErrPs. The average of post-error correction success rate across participants improved significantly compared to the pre-error correction value (+7%). The findings of these studies support the addition of ErrP-informed correction to maximize the accuracy of cue-based and self-paced BCIs based on non-MI cognitive tasks.

Using Neurophysiological Signals that Reflect Cognitive or Affective State

Author : Anne-Marie Brouwer
Publisher : Frontiers Media SA
ISBN 13 : 2889196135
Total Pages : 316 pages
Book Rating : 4.8/5 (891 download)

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Book Synopsis Using Neurophysiological Signals that Reflect Cognitive or Affective State by : Anne-Marie Brouwer

Download or read book Using Neurophysiological Signals that Reflect Cognitive or Affective State written by Anne-Marie Brouwer and published by Frontiers Media SA. This book was released on 2015-07-27 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: What can we learn from spontaneously occurring brain and other physiological signals about an individual’s cognitive and affective state and how can we make use of this information? One line of research that is actively involved with this question is Passive Brain-Computer-Interfaces (BCI). To date most BCIs are aimed at assisting patients for whom brain signals could form an alternative output channel as opposed to more common human output channels, like speech and moving the hands. However, brain signals (possibly in combination with other physiological signals) also form an output channel above and beyond the more usual ones: they can potentially provide continuous, online information about an individual’s cognitive and affective state without the need of conscious or effortful communication. The provided information could be used in a number of ways. Examples include monitoring cognitive workload through EEG and skin conductance for adaptive automation or using ERPs in response to errors to correct for a behavioral response. While Passive BCIs make use of online (neuro)physiological responses and close the interaction cycle between a user and a computer system, (neuro)physiological responses can also be used in an offline fashion. Examples of this include detecting amygdala responses for neuromarketing, and measuring EEG and pupil dilation as indicators of mental effort for optimizing information systems. The described field of applied (neuro)physiology can strongly benefit from high quality scientific studies that control for confounding factors and use proper comparison conditions. Another area of relevance is ethics, ranging from dubious product claims, acceptance of the technology by the general public, privacy of users, to possible effects that these kinds of applications may have on society as a whole. In this Research Topic we aimed to publish studies of the highest scientific quality that are directed towards applications that utilize spontaneously, effortlessly generated neurophysiological signals (brain and/or other physiological signals) reflecting cognitive or affective state. We especially welcomed studies that describe specific real world applications demonstrating a significant benefit compared to standard applications. We also invited original, new kinds of (proposed) applications in this area as well as comprehensive review articles that point out what is and what is not possible (according to scientific standards) in this field. Finally, we welcomed manuscripts on the ethical issues that are involved. Connected to the Research Topic was a workshop (held on June 6, during the Fifth International Brain-Computer Interface Meeting, June 3-7, 2013, Asilomar, California) that brought together a diverse group of people who were working in this field. We discussed the state of the art and formulated major challenges, as reflected in the first paper of the Research Topic.

Toward Brain-computer Interfacing

Author : Guido Dornhege
Publisher : MIT Press
ISBN 13 : 0262042444
Total Pages : 520 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Toward Brain-computer Interfacing by : Guido Dornhege

Download or read book Toward Brain-computer Interfacing written by Guido Dornhege and published by MIT Press. This book was released on 2007 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a timely overview of the latest BCI research, with contributions from many of the important research groups in the field.

Towards Practical Brain-Computer Interfaces

Author : Brendan Z. Allison
Publisher : Springer Science & Business Media
ISBN 13 : 3642297463
Total Pages : 423 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Towards Practical Brain-Computer Interfaces by : Brendan Z. Allison

Download or read book Towards Practical Brain-Computer Interfaces written by Brendan Z. Allison and published by Springer Science & Business Media. This book was released on 2012-08-21 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain-computer interfaces (BCIs) are devices that enable people to communicate via thought alone. Brain signals can be directly translated into messages or commands. Until recently, these devices were used primarily to help people who could not move. However, BCIs are now becoming practical tools for a wide variety of people, in many different situations. What will BCIs in the future be like? Who will use them, and why? This book, written by many of the top BCI researchers and developers, reviews the latest progress in the different components of BCIs. Chapters also discuss practical issues in an emerging BCI enabled community. The book is intended both for professionals and for interested laypeople who are not experts in BCI research.

Error-related EEG Potentials in Brain-computer Interfaces

Author : Pierre Ferrez
Publisher :
ISBN 13 :
Total Pages : 116 pages
Book Rating : 4.:/5 (428 download)

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Book Synopsis Error-related EEG Potentials in Brain-computer Interfaces by : Pierre Ferrez

Download or read book Error-related EEG Potentials in Brain-computer Interfaces written by Pierre Ferrez and published by . This book was released on 2007 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Electrocorticographic Brain-Computer Interfaces

Author : Mikhail Lebedev
Publisher : Frontiers Media SA
ISBN 13 : 2889744744
Total Pages : 227 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Electrocorticographic Brain-Computer Interfaces by : Mikhail Lebedev

Download or read book Electrocorticographic Brain-Computer Interfaces written by Mikhail Lebedev and published by Frontiers Media SA. This book was released on 2022-02-22 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topic Editor Christoph Guger is the CEO of Guger Technologies. All other topic editors declare no competing interests with regards to the Research Topic subject.

Brain-Computer Interfaces

Author :
Publisher : Elsevier
ISBN 13 : 0444639330
Total Pages : 392 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Brain-Computer Interfaces by :

Download or read book Brain-Computer Interfaces written by and published by Elsevier. This book was released on 2020-03-10 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain-Computer Interfacing, Volume 168, not only gives readers a clear understanding of what BCI science is currently offering, but also describes future expectations for restoring lost brain function in patients. In-depth technological chapters are aimed at those interested in BCI technologies and the nature of brain signals, while more comprehensive summaries are provided in the more applied chapters. Readers will be able to grasp BCI concepts, understand what needs the technologies can meet, and provide an informed opinion on BCI science. - Explores how many different causes of disability have similar functional consequences (loss of mobility, communication etc.) - Addresses how BCI can be of use - Presents a multidisciplinary review of BCI technologies and the opportunities they provide for people in need of a new kind of prosthetic - Offers a comprehensive, multidisciplinary review of BCI for researchers in neuroscience and traumatic brain injury that is also ideal for clinicians in neurology and neurosurgery

Brain Computer Interface

Author : Narayan Panigrahi
Publisher : CRC Press
ISBN 13 : 1000595501
Total Pages : 224 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Brain Computer Interface by : Narayan Panigrahi

Download or read book Brain Computer Interface written by Narayan Panigrahi and published by CRC Press. This book was released on 2022-07-29 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further, it covers specific aspects such as epilepsy detection; exploitation of P300 for various applications; design of an EEG acquisition system; and detection of saccade, fix, and blink from EEG and EOG data. Key Features: Explains the basis of brain computer interface and how it can be established using different EEG signal characteristics Covers the detailed classification of different types of EEG signals with respect to their physical characteristics Explains detection and diagnosis of epileptic seizures from the EEG data of a subject Reviews the design and development of a low-cost and robust EEG acquisition system Provides mathematical analysis of EEGs, including MATLAB® codes for students to experiment with EEG data This book is aimed at graduate students and researchers in biomedical, electrical, electronics, communication engineering, healthcare, and cyber physical systems.

Brain-Computer Interfaces

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 3319109782
Total Pages : 422 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Brain-Computer Interfaces by : Aboul Ella Hassanien

Download or read book Brain-Computer Interfaces written by Aboul Ella Hassanien and published by Springer. This book was released on 2014-11-01 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: The success of a BCI system depends as much on the system itself as on the user’s ability to produce distinctive EEG activity. BCI systems can be divided into two groups according to the placement of the electrodes used to detect and measure neurons firing in the brain. These groups are: invasive systems, electrodes are inserted directly into the cortex are used for single cell or multi unit recording, and electrocorticography (EcoG), electrodes are placed on the surface of the cortex (or dura); noninvasive systems, they are placed on the scalp and use electroencephalography (EEG) or magnetoencephalography (MEG) to detect neuron activity. The book is basically divided into three parts. The first part of the book covers the basic concepts and overviews of Brain Computer Interface. The second part describes new theoretical developments of BCI systems. The third part covers views on real applications of BCI systems.

Brain-Computer Interfaces

Author : Desney S. Tan
Publisher : Springer Science & Business Media
ISBN 13 : 1849962723
Total Pages : 286 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Brain-Computer Interfaces by : Desney S. Tan

Download or read book Brain-Computer Interfaces written by Desney S. Tan and published by Springer Science & Business Media. This book was released on 2010-06-10 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: For generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of humankind in the form of ancient myths and modern science fiction stories. Recent advances in cognitive neuroscience and brain imaging technologies have started to turn these myths into a reality, and are providing us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that monitor physical processes within the brain which correspond with certain forms of thought. Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction broadly surveys research in the Brain-Computer Interface domain. More specifically, each chapter articulates some of the challenges and opportunities for using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the state-of-the-art, but also ideally to engage in novel research. For expert Brain-Computer Interface researchers, the book introduces ideas that can help in the quest to interpret intentional brain control and develop the ultimate input device. It challenges researchers to further explore passive brain sensing to evaluate interfaces and feed into adaptive computing systems. Most importantly, the book will connect multiple communities allowing research to leverage their work and expertise and blaze into the future.

EEG Signal Processing

Author : Saeid Sanei
Publisher : John Wiley & Sons
ISBN 13 : 1118691237
Total Pages : 312 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis EEG Signal Processing by : Saeid Sanei

Download or read book EEG Signal Processing written by Saeid Sanei and published by John Wiley & Sons. This book was released on 2013-05-28 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.

Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury

Author : Gernot Müller-Putz
Publisher : Springer Nature
ISBN 13 : 3030685454
Total Pages : 377 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury by : Gernot Müller-Putz

Download or read book Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury written by Gernot Müller-Putz and published by Springer Nature. This book was released on 2021-04-26 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the current state of the art of practical applications of neuroprosthesis based on functional electrical stimulation for restoration of motor functions lost by spinal cord injury and discusses the use of brain-computer interfaces for their control. The book covers numerous topics starting with basics about spinal cord injury, electrical stimulation, electrical brain signals and brain-computer interfaces. It continues with an overview of neuroprosthetic solutions for different purposes and non-invasive and invasive brain-computer interface implementations and presents clinical use cases and practical applications of BCIs. Finally, the authors give an outlook on cutting edge research with a high potential for clinical translation in the near future. All authors committed themselves to use easy-to-understand language and to avoid very specific information, focusing instead on the essential aspects. This makes this book an ideal choice not only for researchers and clinicians at all stages of their education interested in the topic of brain-computer interface-controlled neuroprostheses, but also for end users and their caregivers who want to inform themselves about the current technological possibilities to improve paralyzed motor functions.

Brain-Computer Interface Research

Author : Christoph Guger
Publisher : Springer
ISBN 13 : 331957132X
Total Pages : 136 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Brain-Computer Interface Research by : Christoph Guger

Download or read book Brain-Computer Interface Research written by Christoph Guger and published by Springer. This book was released on 2017-04-29 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the prize-winning brain-computer-interface (BCI) projects honored in the community's most prestigious annual award. BCIs enable people to communicate and control their limbs and/or environment using thought processes alone. Research in this field continues to develop and expand rapidly, with many new ideas, research groups, and improved technologies having emerged in recent years. The chapters in this volume feature the newest developments from many of the best labs worldwide. They present both non-invasive systems (based on the EEG) and intracortical methods (based on spikes or ECoG), and numerous innovative applications that will benefit new user groups

Signal Processing Methods in EEG Based Brain-Computer Interfaces

Author : Gary Garcia Molina
Publisher : Wiley
ISBN 13 : 9781119952831
Total Pages : 304 pages
Book Rating : 4.9/5 (528 download)

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Book Synopsis Signal Processing Methods in EEG Based Brain-Computer Interfaces by : Gary Garcia Molina

Download or read book Signal Processing Methods in EEG Based Brain-Computer Interfaces written by Gary Garcia Molina and published by Wiley. This book was released on 2016-08-08 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on the reproducibility of research in relation to the processing of EEG signals for Brain-Computer Interface (BCI) applications, which aim to provide a direct communication pathway between the brain and an external device. Features algorithm results produced from real data and uses the unique method of mental state decoding to present both theoretical work and working implementations. Focuses on the signals, algorithms, and interpretation and presents the specifics of mental state decoding which ultimately bridges the gap between knowledge and implementation. Follows a tutorial style approach where background and definitions are given followed by chapters on the important areas of Motor, Sensory and event related potentials. Places an emphasis on the reproducibility of research - sample real world datasets and code listings implementing the concepts presented in the book will be made available in a website supporting the book. A valuable reference forProfessionals such as research scientists, system designers and academics involved in the design and implementation of BCI systems; graduate and PhD students in the area of signal processing, biomedical engineering & neuroscience.

Brain-Computer Interfacing

Author : Rajesh P. N. Rao
Publisher : Cambridge University Press
ISBN 13 : 0521769418
Total Pages : 337 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis Brain-Computer Interfacing by : Rajesh P. N. Rao

Download or read book Brain-Computer Interfacing written by Rajesh P. N. Rao and published by Cambridge University Press. This book was released on 2013-09-30 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoration and augmentation of human physical and mental capabilities. Medical applications such as cochlear implants for the deaf and neurally controlled prosthetic limbs for the paralyzed are becoming almost commonplace. Brain-computer interfaces (BCIs) are also increasingly being used in security, lie detection, alertness monitoring, telepresence, gaming, education, art, and human augmentation. This introduction to the field is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used for self-study and as a reference by neuroscientists, computer scientists, engineers, and medical practitioners. Key features include questions and exercises in each chapter and a supporting website.