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brain-computer interface based motor and cognitive rehabilitation after stroke state of the art, opportunity, and barriers: summary of the BCI Meeting 2016 in Asilomar

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brain-computer interfaceS 2017年第1-2期4卷 53-59页

作者： Pichiorri, Floriana Mrachacz-Kersting, Natalie Molinari, Marco Kleih, Sonja Kuebler, Andrea Mattia, Donatella Fdn Santa Lucia Neuroelect Imaging & BCI lab Via Ardeatina 306 I-00179 Rome Italy Aalborg Univ Dept Hlth Sci & Technol Ctr Sensory Motor Interact Fredrik Bajers Vej 7D3 DK-9220 Aalborg O Denmark Univ Wurzburg Inst Psychol Marcusstr 9-11 D-97070 Wurzburg Germany

Non-invasive electroencephalographic (EEG) based brain-computer interfaces (BCIs) are a potential tool to support neuronal plasticity after stroke in the sub-acute and even in the chronic state. A few randomized controlled trials have demonstrated the positive effect on motor rehabilitation. Recent data also indicate that BCI training may improve cognitive rehabilitation. However, important questions remain to be addressed for implementing BCI-based rehabilitation in the clinical routine. This translational effort requires an interdisciplinary approach. The current article provides an overview of a stroke rehabilitation workshop of the 6th International brain-computer interface Meeting in Asilomar, Pacific Grove, USA, held from 30 May to 3 June 2016. This workshop provided an overview of the current state of the art in BCI-based motor and cognitive rehabilitation, presented BCI set-ups shown to be effective, and concluded with a discussion of translational issues and barriers.

关键词： brain-computer interface stroke rehabilitation motor function cognitive function

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brain-computer interface-FES integration: Towards a hands-free neuroprosthesis command system

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NEUROMODULATION 2004年第4期7卷 267-276页

作者： Boord, P Barriskill, A Craig, A Nguyen, H Univ Technol Sydney Sydney NSW 2007 Australia Neopraxis Pty Ltd Sydney NSW Australia

This paper presents a critical review of brain-computer interfaces (BCIs) and their potential for neuroprosthetic applications. Summaries are provided for the command interface requirements of hand grasp, multijoint, and lower extremity neuroprostheses, and the characteristics of various BCIs are discussed in relation to these requirements. The review highlights the current limitations of BCIs and areas of research that need to be addressed to enhance BCI-FES integration.

关键词： brain-computer interface BCI neuroprosthesis FES SCI

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brain-computer interface Systems for Smart Homes - A Review Study

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RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING 2021年第2期14卷 144-155页

作者： Maleki, Masoud Manshouri, Ncgin Kayikcioglu, Temel Gumushane Univ Elect & Automat Dept Vocat Sch TR-29100 Gumushane Turkey Kradeniz Tech Univ Fac Engn Dept Elect & Elect Engn TR-61080 Trabzon Turkey

brain-computer interface (BCI) systems, usually using signals taken from users' brain through electroencephalography (EEG), control various devices around and provide the user's command by interacting. Improving the quality of life of people with disabilities is the main goal of BCI systems. The importance of BCI-based smart home systems is further increasing as a smart home system directly affects the life of a disabled individual. On the other hand, few BCI systems can be run directly using smart home systems. The importance of the BCI-based smart home and the few existing systems require more work in this vital field. In addition, no reviews have described BCI systems in a smart home. In this study, we reviewed all the papers on BCI-based smart home systems published in the last 6 years. These studies investigated and evaluated BCI systems from nine different perspectives. In addition, all studies were examined in terms of signal processing methods. Finally, the problems and challenges of these systems were discussed and new solutions were proposed.

关键词： Electroencephalography brain-computer interface BCI applications smart home BCI challenges single-photon emission

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brain-computer interface With Language Model-Electroencephalography Fusion for Locked-In Syndrome

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NEUROREHABILITATION AND NEURAL REPAIR 2014年第4期28卷 387-394页

作者： Oken, Barry S. Orhan, Umut Roark, Brian Erdogmus, Deniz Fowler, Andrew Mooney, Aimee Peters, Betts Miller, Meghan Fried-Oken, Melanie B. Oregon Hlth & Sci Univ Portland OR 97239 USA Northeastern Univ Boston MA 02115 USA

Background. Some noninvasive brain-computer interface (BCI) systems are currently available for locked-in syndrome (LIS) but none have incorporated a statistical language model during text generation. Objective. To begin to address the communication needs of individuals with LIS using a noninvasive BCI that involves rapid serial visual presentation (RSVP) of symbols and a unique classifier with electroencephalography (EEG) and language model fusion. Methods. The RSVP Keyboard was developed with several unique features. Individual letters are presented at 2.5 per second. computer classification of letters as targets or nontargets based on EEG is performed using machine learning that incorporates a language model for letter prediction via Bayesian fusion enabling targets to be presented only 1 to 4 times. Nine participants with LIS and 9 healthy controls were enrolled. After screening, subjects first calibrated the system, and then completed a series of balanced word generation mastery tasks that were designed with 5 incremental levels of difficulty, which increased by selecting phrases for which the utility of the language model decreased naturally. Results. Six participants with LIS and 9 controls completed the experiment. All LIS participants successfully mastered spelling at level 1 and one subject achieved level 5. Six of 9 control participants achieved level 5. Conclusions. Individuals who have incomplete LIS may benefit from an EEG-based BCI system, which relies on EEG classification and a statistical language model. Steps to further improve the system are discussed.

关键词： brain-computer interface locked-in syndrome language model electroencephalography (EEG) neuroengineering

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brain-computer interface DEVICES: RISKS AND CANADIAN REGULATIONS

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ACCOUNTABILITY IN RESEARCH-POLICIES AND QUALITY ASSURANCE 2008年第2期15卷 63-86页

作者： Alpert, Sheri Dalhousie Univ Novel Tech Eth Halifax NS B3H 3P7 Canada

Implantable brain-computer interface (BCI) devices are currently in clinical trials in the U.S., and their introduction into the Canada could follow in the next few years. This article provides an overview of the research, developments, design issues, and risks in BCIs and an analysis of the adequacy of the regulatory framework in place for the approval of medical devices in Canada, emphasizing device investigational testing. The article concludes that until better safeguards are in place, to best protect potential research subjects, BCIs should not be approved for investigational testing in Canada.

关键词： brain-computer interface Health Canada investigational testing medical device regulations risk

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brain-computer interface connected to telemedicine and telecommunication in virtual reality applications

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TELEMATICS AND INFORMATICS 2017年第4期34卷 224-238页

作者： Hsu, Wei-Yen Natl Chung Cheng Univ Dept Informat Management 168Sec 1Univ Rd Min Hsiung Township 621 Chiayi County Taiwan

A novel brain-computer interface work is proposed for the applications of virtual reality in telemedicine and telecommunication in this study, in which the aim is to enhance the interactions between the humans and computers with virtual reality technologies. The system mainly contains automatic artifacts removal, feature extraction, significant feature selection and classification. A similarity measure approach is proposed to automatically remove the artifacts, which effectively reduce the influence of artifacts and simultaneously achieve higher accuracy. The artificial bee colony algorithm is used to select significant sub-features from feature combinations, which further greatly enhance the classification accuracy. Experimental results indicate that the proposed system performs better than several state-of-the-art approaches. It is also recommended that it is suitable for the applications of virtual reality in telemedicine and telecommunication. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： brain-computer interface Telemedicine Telecommunication Artifacts removal

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brain-computer interface in Europe: the thirtieth anniversary

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AUTOMATIKA 2019年第1期60卷 36-47页

作者： Bozinovski, Stevo Bozinovska, Liljana South Carolina State Univ Math & Comp Sci Dept Orangeburg SC 29115 USA South Carolina State Univ Biol & Phys Sci Dept Orangeburg SC USA

This paper reviews the development of brain-computer interface research, covering period from 1973 when the term brain-computer interface was introduced, till the last year of the twentieth century, 1999. The focus is on the first two brain-computer interface demonstrations done in Europe, in 1988. This paper written in 2018 marks the thirtieth anniversary of those two events. The first event was control of a computer buzzer using EEG contingent negative potential variation, and the second event was control of a physical object with a mass, a robot, using EEG alpha rhythm amplitude variation. Movement of a physical object with a mass through signals emanating from a human brain was named psychokinesis and before 1988 it was in the realm of science fiction. The paper describes the two events in chronological order, from the basic idea to the engineering realization.

关键词： brain-computer interface twentieth-century BCI CNV-based BCI EEG-based psychokinesis

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brain-computer interface-Driven Functional Electrical Stimulation for Motor Rehabilitation following Stroke

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KLINISCHE NEUROPHYSIOLOGIE 2020年第3期51卷 144-155页

作者： Krueger, Johanna Reichert, Christoph Duerschmid, Stefan Krauth, Richard Vogt, Susanne Huchtemann, Tessa Lindquist, Sabine Lamprecht, Juliane Sailer, Michael Heinze, Hans-Jochen Hinrichs, Hermann Sweeney-Reed, Catherine M. Otto von Guericke Univ Klin Neurol Neurokybernet & Rehabil Leipziger Str 44 D-39120 Magdeburg Germany Krankenhaus Barmherziger Bruder Regensburg Regensburg Germany Leibniz Inst Neurobiol LIN Abt Verhaltensneurol Magdeburg Germany Otto von Guericke Univ Klin Neurol Magdeburg Germany Pfeiffersche Stiftungen MZEB Magdeburg Germany MEDIAN Klin Flechtingen MEDIAN Klin NRZ Magdeburg Flechtingen Germany Otto von Guericke Univ Inst Neurorehabil Magdeburg Germany Deutsch Zentrum Neurodegenerat Erkrankungen DZNE Magdeburg Germany Ctr Behav Brain Sci CBBS Magdeburg Germany Forsch Campus STIMULATE Magdeburg Germany

A brain-computer interface (BCI) enables delivery of functional electrical stimulation (FES), at the time point of movement intention, to induce muscle contraction in a paretic limb, using brain activity recording. It has been hypothesized that tight temporal coupling between movement intention and visual or proprioceptive feedback obtained from an actual movement can enhance neuroplasticity and thus improve limb function. We provide an overview of this approach to post-stroke rehabilitation based on a systematic review of randomised controlled trials. The PubMed, Scopus, and Web of Science databases were searched and 516 titles identified, out of which 13 papers, originating from 7 study populations that met all inclusion criteria were selected. These studies differed in the frequency, duration, and outcome measures of the therapy used. Five studies reported greater functional improvement in the BCI-FES group, with 3 studies showing a difference between the BCI-FES and control groups.

关键词： brain-computer interface EEG stroke motor rehabilitation functional electrical stimulation

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brain-computer interface: Applications to Speech Decoding and Synthesis to Augment Communication

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NEUROTHERAPEUTICS 2022年第1期19卷 263-273页

作者： Luo, Shiyu Rabbani, Qinwan Crone, Nathan E. Johns Hopkins Univ Sch Med Dept Biomed Engn Baltimore MD 21205 USA Johns Hopkins Univ Dept Elect & Comp Engn Baltimore MD 21218 USA Johns Hopkins Univ Sch Med Dept Neurol Baltimore MD 21205 USA

Damage or degeneration of motor pathways necessary for speech and other movements, as in brainstem strokes or amyotrophic lateral sclerosis (ALS), can interfere with efficient communication without affecting brain structures responsible for language or cognition. In the worst-case scenario, this can result in the locked in syndrome (LIS), a condition in which individuals cannot initiate communication and can only express themselves by answering yes/no questions with eye blinks or other rudimentary movements. Existing augmentative and alternative communication (AAC) devices that rely on eye tracking can improve the quality of life for people with this condition, but brain-computer interfaces (BCIs) are also increasingly being investigated as AAC devices, particularly when eye tracking is too slow or unreliable. Moreover, with recent and ongoing advances in machine learning and neural recording technologies, BCIs may offer the only means to go beyond cursor control and text generation on a computer, to allow real-time synthesis of speech, which would arguably offer the most efficient and expressive channel for communication. The potential for BCI speech synthesis has only recently been realized because of seminal studies of the neuroanatomical and neurophysiological underpinnings of speech production using intracranial electrocorticographic (ECoG) recordings in patients undergoing epilepsy surgery. These studies have shown that cortical areas responsible for vocalization and articulation are distributed over a large area of ventral sensorimotor cortex, and that it is possible to decode speech and reconstruct its acoustics from ECoG if these areas are recorded with sufficiently dense and comprehensive electrode arrays. In this article, we review these advances, including the latest neural decoding strategies that range from deep learning models to the direct concatenation of speech units. We also discuss state-of-the-art vocoders that are integral in constructing natur

关键词： Speech synthesis brain-computer interface Locked-in syndrome Electrocorticography ECoG

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brain-computer interface Training Based on brain Activity Can Induce Motor Recovery in Patients With Stroke: A Meta-Analysis

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NEUROREHABILITATION AND NEURAL REPAIR 2022年第2期36卷 83-96页

作者： Nojima, Ippei Sugata, Hisato Takeuchi, Hiroki Mima, Tatsuya Shinshu Univ Dept Phys Therapy Sch Hlth Sci 3-1-1 Asahi Matsumoto Nagano 3908621 Japan Oita Univ Fac Welf & Hlth Sci Oita Japan Natl Hosp Org Higashinagoya Natl Hosp Nagoya Aichi Japan Ritsumeikan Univ Grad Sch Core Eth & Frontier Sci Kyoto Japan

Background brain-computer interface (BCI) is a procedure involving brain activity in which neural status is provided to the participants for self-regulation. The current review aims to evaluate the effect sizes of clinical studies investigating the use of BCI-based rehabilitation interventions in restoring upper extremity function and effective methods to detect brain activity for motor recovery. Methods A computerized search of MEDLINE, CENTRAL, Web of Science, and PEDro was performed to identify relevant articles. We selected clinical trials that used BCI-based training for post-stroke patients and provided motor assessment scores before and after the intervention. The pooled standardized mean differences of BCI-based training were calculated using the random-effects model. Results We initially identified 655 potentially relevant articles;finally, 16 articles fulfilled the inclusion criteria, involving 382 participants. A significant effect of neurofeedback intervention for the paretic upper limb was observed (standardized mean difference = .48, [.16-.80], P = .006). However, the effect estimates were moderately heterogeneous among the studies (I-2 = 45%, P = .03). Subgroup analysis of the method of measurement of brain activity indicated the effectiveness of the algorithm focusing on sensorimotor rhythm. Conclusion This meta-analysis suggested that BCI-based training was superior to conventional interventions for motor recovery of the upper limbs in patients with stroke. However, the results are not conclusive because of a high risk of bias and a large degree of heterogeneity due to the differences in the BCI interventions and the participants;therefore, further studies involving larger cohorts are required to confirm these results.

关键词： brain-computer interface stroke brain activity motor function

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