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OBJECTIVE: To explore the effectiveness of neurorehabilitative training using an electroencephalogram-based brain- computer interface for hand paralysis following stroke. DESIGN: A case series study. SUBJECTS: Eight outpatients with chronic stroke demonstratin…
openalex
Keiichiro Shindo, Kimiko Kawashima, Junichi Ushiba, Naoki Ota 等
2011-01-01
置信度 0.72
Brain–computer interfaceMotor imageryPhysical medicine and rehabilitationRehabilitationNeurofeedback
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The main purpose of electroencephalography (EEG)-based brain-computer interface (BCI) technology is to provide an alternative channel to support communication and control when motor pathways are interrupted. Despite the considerable amount of research focused …
openalex
Floriana Pichiorri, Fabrizio De Vico Fallani, Febo Cincotti, Fabio Babiloni 等
2011-03-24
置信度 0.72
Brain–computer interfaceElectroencephalographyMotor imageryTranscranial magnetic stimulationNeurophysiology
-
A brain-computer interface (BCI) provides a non-muscular communication channel to people with and without disabilities. BCI devices consist of hardware and software. BCI hardware records signals from the brain, either invasively or non-invasively, using a seri…
openalex
Peter Brunner, Luigi Bianchi, Christoph Guger, Febo Cincotti 等
2011-03-24
置信度 0.72
Brain–computer interfaceComputer scienceSoftwareInterface (matter)Human–computer interaction
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This paper reports an electroencephalogram-based brain-actuated telepresence system to provide a user with presence in remote environments through a mobile robot, with access to the Internet. This system relies on a P300-based brain-computer interface (BCI) an…
openalex
Carmen Escolano, Javier M. Antelis, Javier Mínguez
2011-12-15
置信度 0.72
Computer scienceBrain–computer interfaceTeleroboticsHuman–computer interactionRobot
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Linear discriminant analysis (LDA) has been widely adopted to classify event-related potential (ERP) in brain-computer interface (BCI). Good classification performance of the ERP-based BCI usually requires sufficient data recordings for effective training of t…
openalex
Yu Zhang, Guoxu Zhou, Qibin Zhao, Jing Jin 等
2013-03-01
置信度 0.72
Linear discriminant analysisBrain–computer interfaceComputer scienceArtificial intelligencePattern recognition (psychology)
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OBJECTIVE: Steady-state visually evoked potential (SSVEP)-based brain-computer interfaces (BCIs) allow healthy subjects to communicate. However, their dependence on gaze control prevents their use with severely disabled patients. Gaze-independent SSVEP-BCIs ha…
openalex
Damien Lesenfants, Dina Habbal, Zulay Lugo, Mike LeBeau 等
2014-05-19
置信度 0.72
Brain–computer interfaceCovertComputer scienceInterface (matter)Locked-in syndrome
-
Electroencephalography (EEG) is a non-invasive method for measuring brain activity and is a strong candidate for brain-computer interface (BCI) development. While BCIs can be used as a means of communication for individuals with severe disabilities, the majori…
openalex
Saba Moghimi, Azadeh Kushki, Anne Marie Guerguerian, Tom Chau
2012-09-11
置信度 0.72
Brain–computer interfaceElectroencephalographyHuman–computer interactionAssistive technologyPhysical medicine and rehabilitation
-
As a communication and control system, a brain-computer interface (BCI) establishes a real-time interaction between the user and the outside world. Human BCI experience to date has been confined almost entirely to electroencephalographic (EEG) studies and shor…
openalex
Jonathan R. Wolpaw, Niels Birbaumer
2006-02-16
置信度 0.72
Brain–computer interfaceComputer scienceInterface (matter)Reliability (semiconductor)Feature (linguistics)
-
In their early days, brain-computer interfaces (BCIs) were only considered as control channel for end users with severe motor impairments such as people in the locked-in state. But, thanks to the multidisciplinary progress achieved over the last decade, the ra…
openalex
Gernot Müller-Putz, Robert Leeb, Michael Tangermann, Johannes Höhne 等
2015-05-18
置信度 0.72
Brain–computer interfaceComputer scienceMultidisciplinary approachHuman–computer interactionMotor control
-
The ultimate goal of epileptology is the complete abolishment of epileptic seizures. This might be achieved by a system that predicts seizure onset combined with a system that interferes with the process that leads to the onset of a seizure. Seizure prediction…
openalex
Vladimir Maksimenko, Sabrina van Heukelum, V. V. Makarov, Janita Kelderhuis 等
2017-05-23
置信度 0.72
EpilepsyElectroencephalographyEpileptic seizureFalse positive paradoxNeuroscience
-
Abstract Brain-computer interfaces (BCIs) have attracted considerable attention in motor and language rehabilitation. Most devices use cap-based non-invasive, headband-based commercial products or microneedle-based invasive approaches, which are constrained fo…
openalex
Zhouheng Wang, Nanlin Shi, Yingchao Zhang, Ning Zheng 等
2023-07-14
置信度 0.72
BioelectronicsNeuroscienceComputer scienceBrain–computer interfaceHuman–computer interaction
-
openalex
Hongtao Wang, Yuanqing Li, Jinyi Long, Tianyou Yu 等
2014-05-23
置信度 0.72
WheelchairBrain–computer interfaceElectroencephalographyComputer scienceMotor imagery
-
A Brain–Computer Interface (BCI) provides a new communication channel for severely disabled people who have completely or partially lost control over muscular activity. It is questionable whether a BCI is the best choice for controlling a device if partial mus…
openalex
Thorsten O. Zander, Matti Gaertner, Christian Kothe, Roman Vilimek
2010-12-28
置信度 0.72
Brain–computer interfaceWorkaroundGazeComputer scienceHuman–computer interaction
-
openalex
Vera Kaiser, Günther Bauernfeind, Alex Kreilinger, Tobias Kaufmann 等
2013-05-04
置信度 0.72
Brain–computer interfaceElectroencephalographyMotor imageryNeuroplasticityFunctional near-infrared spectroscopy
-
The present review systematically examines the literature reporting gaze independent interaction modalities in non-invasive brain-computer interfaces (BCIs) for communication. BCIs measure signals related to specific brain activity and translate them into devi…
openalex
Angela Riccio, Donatella Mattia, Luca Simione, M Olivetti 等
2012-07-25
置信度 0.72
Brain–computer interfaceModalitiesGazeElectroencephalographyComputer science
-
Brain-computer interfaces (BCIs) provide communication that is independent of muscle control, and can be especially important for individuals with severe neuromuscular disease who cannot use standard communication pathways or other assistive technology. It has…
openalex
Eric W. Sellers, David B. Ryan, Christopher K. Hauser
2014-10-08
置信度 0.72
Brain–computer interfaceBrainstemAmyotrophic lateral sclerosisSpellingInterface (matter)
-
OBJECTIVE: While promising, electroencephaloraphy based brain-computer interfaces (BCIs) are barely used due to their lack of reliability: 15% to 30% of users are unable to control a BCI. Standard training protocols may be partly responsible as they do not sat…
openalex
Camille Jeunet, Emilie Jahanpour, Fabien Lotte
2016-05-11
置信度 0.72
Brain–computer interfaceMotor imageryComputer scienceContext (archaeology)Interface (matter)
-
Recent advances in brain-computer interface technology to restore and rehabilitate neurologic function aim to enable persons with disabling neurologic conditions to communicate, interact with the environment, and achieve other key activities of daily living an…
openalex
Michael J. Young, David J. Lin, Leigh R. Hochberg
2021-03-19
置信度 0.72
NeurorehabilitationMedicinePhysical medicine and rehabilitationHuman–computer interactionRehabilitation
-
Current movement-based brain-computer interfaces (BCI's) utilize spontaneous electroencephalogram (EEG) rhythms associated with movement, such as the mu rhythm, or responses time-locked to movements that are averaged across multiple trials, such as the readine…
openalex
Jaime A. Pineda, Brendan Z. Allison, Andrey Vankov
2000-06-01
置信度 0.72
Brain–computer interfaceRhythmMovement (music)Sensorimotor rhythmElectroencephalography
-
openalex
Ryota Tomioka, Klaus‐Robert Müller
2009-07-30
置信度 0.72
Discriminative modelBrain–computer interfaceComputer scienceElectroencephalographyArtificial intelligence
-
openalex
Zhichao Jin, Guoxu Zhou, Daqi Gao, Yu Zhang
2018-10-04
置信度 0.72
Computer scienceExtreme learning machineBrain–computer interfaceArtificial intelligenceSupport vector machine
-
A brain-computer interface (BCI) provides a way to develop interaction between a brain and a computer. The communication is developed as a result of neural responses generated in the brain because of motor movements or cognitive activities. The means of commun…
openalex
Annushree Bablani, Damodar Reddy Edla, Diwakar Tripathi, Ramalingaswamy Cheruku
2019-02-13
置信度 0.72
Brain–computer interfaceComputer scienceElectrocorticographyInterface (matter)Electroencephalography
-
OBJECTIVE: Brain-computer interfaces (BCIs) translate deliberate intentions and associated changes in brain activity into action, thereby offering patients with severe paralysis an alternative means of communication with and control over their environment. Suc…
openalex
Mariska J. Vansteensel, Dora Hermes, Erik J. Aarnoutse, Martin G. Bleichner 等
2010-01-27
置信度 0.72
Brain–computer interfaceCognitionNeuroscienceDorsolateral prefrontal cortexFunctional magnetic resonance imaging
-
openalex
Dongrui Wu, Xue Jiang, Ruimin Peng
2022-06-14
置信度 0.72
Brain–computer interfaceMotor imageryComputer sciencePipeline (software)Interface (matter)
-
Brain–Computer Interfaces (BCIs) are specialized systems that allow users to control computer applications using their brain waves. With the advent of consumer-grade electroencephalography (EEG) devices, brain-controlled systems started to find applications ou…
openalex
Gabriel Alves Mendes Vasiljevic, Leonardo Cunha de Miranda
2019-06-03
置信度 0.72
Brain–computer interfaceElectroencephalographyComputer scienceInterface (matter)Human–computer interaction
-
We present the self-paced 3-class Graz brain-computer interface (BCI) which is based on the detection of sensorimotor electroencephalogram (EEG) rhythms induced by motor imagery. Self-paced operation means that the BCI is able to determine whether the ongoing …
openalex
Reinhold Scherer, A. Schloegl, Felix Lee, Horst Bischof 等
2007-01-01
置信度 0.72
Brain–computer interfaceInterface (matter)Motor imageryComputer scienceElectroencephalography
-
We introduce a user-friendly steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system. Single-channel EEG is recorded using a low-noise dry electrode. Compared to traditional gel-based multi-sensor EEG systems, a dry sensor prov…
openalex
An Luo, Thomas J. Sullivan
2010-03-23
置信度 0.72
Brain–computer interfaceComputer scienceElectroencephalographyStimulus (psychology)Artificial intelligence
-
The aim of this article is to explore a paradigm shift on Brain Computer Interface (BCI) research, as well as on intervention best practices for training and rehabilitation of students with neurodevelopmental disorders. Recent studies indicate that BCI devices…
openalex
George Papanastasiou, Athanasios Drigas, Charalabos Skianis, Miltiadis D. Lytras
2020-09-01
置信度 0.72
Brain–computer interfaceIntervention (counseling)RehabilitationCognitionInterface (matter)
-
crossref
J PAGEL
2008-10-01T04:28:40Z
置信度 0.70
-
crossref
2022-03-17T20:56:01Z
置信度 0.70
-
crossref
2020-04-10T04:23:57Z
置信度 0.70
-
subject negative-unlabeled learning algorithm for quantifying passive fatigue.
crossref
Ruyi Foong
2020-10-28T06:55:20Z
置信度 0.70
-
We develop an 8-channel time domain functional near-infrared spectroscopy (fNIRS) system and measure concentration changes of hemoglobin during left/right arm lifting. Correlation-based signal improvement (CBSI) method is used to remove the effect of the head …
crossref
Jaeyoung Shin, Sungyong Kang, Minkyu Sung, Joohwan Kim 等
2013-04-26T19:28:33Z
置信度 0.70
-
In a brain– computer interface (BCI) the brain provides input directly to the computer through brain signals, without the aid of a mechanically operated device like a keyboard. Because of the ease of collection, high portability of the acquisition systems, low…
crossref
Kaushik Majumdar
2018-09-02T00:51:06Z
置信度 0.70
-
Minimally invasive, high-bandwidth brain-computer-interface (BCI) devices can revolutionize human applications. With orders-of-magnitude improvements in volumetric efficiency over other BCI technologies, we developed a 50-μm-thick, mechanically flexible micro-…
preprints
2024
置信度 0.74
-
Importance Brain-computer interface-(BCI-) based interventions are promising means for self-administered anxiety treatment due to their non-invasiveness and portability. However, few studies have explored their viability in the home setting. Objective To evalu…
preprints
2024
置信度 0.74
-
Brain-computer interfaces (BCIs) offer a direct channel for communication between external devices and the user's central nervous system, holding significant promise for restoring limb mobility in patients, particularly those afflicted by conditions such as pe…
preprints
Yu Luo, Ding Liu, Bin Liu, jicong zhang
2023
置信度 0.74
-
Vision and proprioception regulate motor output during reaching. To study the effects of sensory input on motor control, brain computer interfaces (BCIs) offer particular advantages. As part of a long-term clinical BCI trial, we implanted two 96-channel microe…
preprints
2024
置信度 0.74
-
Brain-computer interfaces (BCI) using electroencephalography (EEG) provide a non-invasive method for users to interact with external devices without the need for muscle activation. While noninvasive BCIs have the potential to improve the quality of lives of he…
preprints
2023
置信度 0.74
-
Background Post-stroke hemiplegia is a common neurological condition with a significant impact on the daily lives of patients, their families, and society. Since motor imagery and execution are supposed to share common neural networks, repeated motor imagery h…
preprints
2024
置信度 0.74
-
ABSTRACT Intracortical brain-computer interfaces (iBCIs) enable paralyzed persons to generate movement, but current methods require large amounts of both neural and movement-related data to be collected from the iBCI user for supervised decoder training. We hy…
preprints
2022
置信度 0.74
-
Abstract Motor Imagery - Brain-Computer Interface (MI-BCI) is a technique that acts as a non-muscular channel for disabled people to communicate. Because it is a communication link between the wired brain and an external device. In this paper, we propose a com…
preprints
2024
置信度 0.74
-
Brain-Computer Interfaces (BCI) aim to establish a pathway between the brain and an external device without the involvement of the motor system, relying exclusively on neural signals. Such systems have the potential to provide a means of communication for pati…
preprints
2023
置信度 0.74
-
Objective: Design and validate a wireless, low-cost, easy-to-use, mobile, dry-electrode headset for scalp electroencephalography (EEG) recordings for closed-loop brain-computer (BCI) interface and internet-of-things (IoT) applications. Approach: The EEG-based …
preprints
2023
置信度 0.74
-
Recent studies have shown that speech can be reconstructed and synthesized using only brain activity recorded with intracranial electrodes, but until now this has only been done using retrospective analyses of recordings from able-bodied patients temporarily i…
preprints
2023
置信度 0.74
-
Abstract Background Most stroke survivors have upper extremity dysfunction. According to neuroplasticity theory, transcranial direct current stimulation (tDCS) and kinesthetic motor imagery-based brain computer interface (KI-BCI) have the potential to improve …
preprints
2024
置信度 0.74
-
Brain-Computer Interfaces (BCI) will revolutionize the way people with impaired speech production can communicate. While recent studies confirm the possibility of decoding imagined speech based on pre-recorded intracranial neurophysiological signals, current e…
preprints
2023
置信度 0.74
-
Electroencephalogram (EEG) based Brain-computer interface (BCI) is a viable technology. It can enable people with temporal voice impairment to communicate to the world directly from their brain. The electrical signals generated by the human brain during sub-vo…
preprints
2023
置信度 0.74
-
Background and Purpose Chronic hemiparetic stroke patients have very limited benefits from current therapies. Brain-computer interface (BCI) engaging the unaffected hemisphere has emerged as a promising novel therapeutic approach for chronic stroke rehabilitat…
preprints
2023
置信度 0.74
-
Abstract Background Modern stroke rehabilitation integrates exercise therapy, occupational therapy, and other technological interventions. This study investigated the short-term intervention effect of brain-computer interface (BCI) training based on visual and…
preprints
2024
置信度 0.74
-
Background Previous clinical studies have demonstrated the effects of brain-computer interface (BCI) on the motor recovery of stroke patients. The aim of this study was to evaluate the therapeutic effects of BCI on improving motor functions of stroke patients.…
preprints
2023
置信度 0.74
-
Abstract Background Brain-computer interfaces (BCIs) can restore communication in movement- and/or speech-impaired individuals by enabling neural control of computer typing applications. Single command “click” decoders provide a basic yet highly functional cap…
preprints
2023
置信度 0.74
-
Brain-computer interface (BCI) research has gained increasing attention in educational contexts, offering the potential to monitor and enhance students’ cognitive states. Real-time classification of students’ confusion levels using electroencephalogram (EEG) d…
preprints
2023
置信度 0.74
-
Limitations in chronic pain therapies necessitate novel interventions that are effective, accessible, and safe. Brain-computer interfaces (BCIs) provide a promising modality for targeting neuropathology underlying chronic pain by converting recorded neural act…
preprints
2023
置信度 0.74
-
Paralysis affects roughly 1 in 50 Americans. While there is no cure for the condition, brain-computer interfaces (BCI) can allow users to control a device with their mind, bypassing the paralyzed region. Non-invasive BCIs still have high error rates, which is …
preprints
2023
置信度 0.74
-
Objective Serving as a channel for communication with locked-in patients or control of prostheses, sensorimotor brain-computer interfaces (BCIs) decode imaginary movements from the recorded activity of the user’s brain. However, many individuals remain unable …
preprints
2023
置信度 0.74
-
The present study illustrates a brain-computer interface designed and developed to be wearable, portable, and user-friendly. Eight dry electroencephalographic sensors were adopted to acquire the brain activity associated with motor imagery. Multimodal feedback…
preprints
2023
置信度 0.74
-
Abstract Affordable brain-computer interfaces (BCIs) working outside the laboratory environmentare still rare. Their most limiting factors include low classificationaccuracy, information transfer bit rate, low variability of used approaches, andcloseness of th…
preprints
Roman Mouček, Lukáš Vařeka, Petr Brůha, Petr Ježek 等
2022
置信度 0.74
-
When making decisions, humans can evaluate how likely they are to be correct. If this subjective confidence could be reliably decoded from brain activity, it would be possible to build a brain-computer interface (BCI) that improves decision performance by auto…
preprints
2022
置信度 0.74
-
Existing intracortical brain computer interfaces (iBCIs) transform neural activity into control signals capable of restoring movement to persons with paralysis. However, the accuracy of the “decoder” at the heart of the iBCI typically degrades over time due to…
preprints
2022
置信度 0.74
-
Background: Restorative Brain-Computer Interfaces (BCI) combined with visual feedback and functional electrical stimulation may provide sorely needed treatment alternatives for patients with severely impaired upper limb (UL) function after stroke. Objectives T…
preprints
2023
置信度 0.74
-
Abstract Background Electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) allow to modulate the sensorimotor rhythms and are potential technologies for promoting post-stroke motor function recovery. The Promotoer study is planned to assess short …
preprints
2023
置信度 0.74
-
Objective A trained T1 class Convolutional Neural Network (CNN) model will be used to examine its ability to successfully identify motor imagery when fed pre-processed electroencephalography (EEG) data. In theory, and if the model has been trained accurately, …
preprints
Alessandro Gallo, Manh Duong Phung
2022
置信度 0.74
-
Objective This study examined the effect of individualized electroencephalogram (EEG) electrode location selection for non-invasive P300-design brain-computer interfaces (BCIs) in people with varying severity of cerebral palsy (CP). Approach A forward selectio…
preprints
2023
置信度 0.74
-
Abstract Background: Safe and accurate execution of surgeries to date mainly rely on preoperative plans generated based on preoperative imaging. Frequent intraoperative interaction with such patient images during the intervention is needed, which is currently …
preprints
Hooman Esfandiari, Pascal Troxler, Sandro Hodel, Daniel Suter 等
2022
置信度 0.74
-
Brain Computer Interfaces (BCI) provide a unique technological solution to circumvent the damaged motor system. For neurorehabilitation, the BCI can be used to translate neural signals associated with movement intentions into tangible feedback for the patient,…
preprints
2021
置信度 0.74
-
The hippocampus has been proposed to integrate information from multiple sensory modalities, supporting a comprehensive “cognitive map” for both spatial and non-spatial information. Previous studies have demonstrated decoding of hippocampal spatial information…
preprints
2022
置信度 0.74
-
Objective: To investigate the effects of motor imagery-based brain-computer interface training (MI-BCI) on upper limb function and attention in stroke patients with hemiplegia . Methods: : Stroke patients with impairment of upper extremity function and decreas…
preprints
2023
置信度 0.74
-
Progress toward the development of brain–computer interfaces has signaled the potential to restore, replace, and augment lost or impaired neurological function in a variety of disease states. Existing approaches to developing high-bandwidth brain–computer inte…
preprints
2022
置信度 0.74
-
ABSTRACT The present study proposes a novel concept of neuroadaptive technology, namely a dual passive-reactive Brain-Computer Interface (BCI), that enables bi-directional interaction between humans and machines. We have implemented such a system in a realisti…
preprints
2021
置信度 0.74
-
Abstract Background: Brain-computer interface (BCI) is a system in which complete control is exerted directly through brain signals. One of the most important applications of BCI is in spellers, which are designed to restore communication ability for people wi…
preprints
Hadi Veisi, Hessam Amini, Parisa Daeijavad
2021
置信度 0.74
-
Neural oscillations, or brain rhythms, fluctuate in a manner reflecting ongoing behavior. Whether these fluctuations are instrumental or epiphenomenal to the behavior remains elusive. Attempts to experimentally manipulate neural oscillations exogenously using …
preprints
2021
置信度 0.74
-
Abstract Brain computer interface (BCIs) aims to communicate with external devices and also recognize human activities through brain signals. However, existing algorithms have some drawbacks, such as poor resolution, high-frequency noise, risk, and low accurac…
preprints
Shwetav Sharad, Sugandha Chakraverti, Shakti Kundu, Ashish Kumar Chakraverti 等
2022
置信度 0.74
-
A P300 brain-computer interface (BCI) is a paradigm, where text characters are decoded from visual evoked potentials (VEPs). In a popular implementation, called P300 speller, a subject looks at a display where characters are flashing and selects one character …
preprints
2020
置信度 0.74
-
Patients suffering from Body Integrity Dysphoria (BID) desire to become disabled, arising from a mismatch between the desired body and the physical body. We focus here on the most common variant, characterised by the desire for amputation of a healthy limb. In…
preprints
2021
置信度 0.74
-
This was an investigational device observational trial with the objective to evaluate the impact of distractions on intracortical brain-computer interface (BCI) performance. Two individuals with tetraplegia had microelectrode arrays implanted into their motor …
preprints
2021
置信度 0.74
-
Background: / Objective: We developed a Brain Computer Interface(BCI) robot system for movement recovery of upper limb motor function in post-stroke patients with severe hemiplegia. We designed and performed a randomized controlled clinical trial (RCT) to expl…
preprints
2022
置信度 0.74
-
Abstract Convolutional neural networks (CNNs), which can recognize structural/configuration patterns in data with different architectures, have been studied for feature extraction. However, challenges remain regarding leveraging advanced deep learning methods …
preprints
Wonjun Ko, Eunjin Jeon, Jee Seok Yoon, Heung-Il Suk
2021
置信度 0.74
-
Abstract Loss of hand function after cervical spinal cord injury severely impairs functional independence. We describe a method for restoring volitional control of hand grasp in a subject with complete cervical quadriplegia (C5 ASIA Impairment Scale A) using a…
preprints
2021
置信度 0.74
-
Abstract Brain Computer Interface (BCI) is one of the fast-growing technological trends, which finds its applications in the field of the healthcare sector. In this work, 16 electrodes of Electroencephalography (EEG) placed according to the 10-20 electrode sys…
preprints
Babu Chinta, Moorthi M
2022
置信度 0.74
-
While recent advances in intracortical brain-computer interfaces (iBCI) have demonstrated the ability to restore motor and communication functions, such demonstrations have generally been confined to controlled experimental settings and have required bulky lab…
preprints
2019
置信度 0.74
-
Abstract Industrial human-robot collaboration (HRC) aims to combine the human intelligence and robotic capability to achieve the higher productiveness. In industrial HRC, the communication between human and robot is essential to enhance the understanding the i…
preprints
Zhenrui Ji, Quan Liu, Wenjun Xu, Bitao Yao 等
2021
置信度 0.74
-
Abstract Background: The brain-computer interface (BCI) race at the Cybathlon championship for athletes with disabilities challenges teams (BCI researchers, developers and pilots with spinal cord injury) to control an avatar on a virtual racetrack without move…
preprints
2021
置信度 0.74
-
Noninvasive brain-computer interfaces (BCIs) assist paralyzed patients by providing access to the world without requiring surgical intervention. While the performance of noninvasive BCI is hindered by long training times and variable user proficiency, it may b…
preprints
2020
置信度 0.74
-
Abstract Introduction: Upper extremity impairment is a problem usually found in poststroke patients, and it is seldom completely improved even following conventional physical therapy. Motor imagery (MI) and action observation (AO) therapy are mental practices …
preprints
Nuttawat Rungsirisilp, Yodchanan Wongsawat
2021
置信度 0.74
-
Individuals with neurological disease or injury such as amyotrophic lateral sclerosis, spinal cord injury or stroke may become tetraplegic, unable to speak or even locked-in. For people with these conditions, current assistive technologies are often ineffectiv…
preprints
2019
置信度 0.74
-
Human machine interaction with the use of brain signals has been made possible by the advent of the technology popularly known as brain computer interface (BCI). P300 is one such brain signal which is used in many BCI systems. The problems associated with most…
preprints
2021
置信度 0.74
-
Abstract Background: In recent years, the brain-computer interface (BCI) based on motor imagery (MI) has been considered as a potential post-stroke rehabilitation technology. However, the recognition of MI relies on the event-related desynchronization (ERD) fe…
preprints
Lujia Zhou, Xuewen Tao, Feng He, Peng Zhou 等
2020
置信度 0.74
-
Abstract In this study, we present the detection of the up- and downward as well as the right- and leftward motion of cursor based on feature extraction. Feature Extraction and selection for finding the proper classifier among the data mining methods are of gr…
preprints
Leila Mohammadi, zahra einalou, Hamidreza Hosseinzadeh, Mehrdad Dadgostar
2020
置信度 0.74
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This paper proposes several LabVIEW applications to accomplish the data acquisition, processing, features extraction and real-time classification of the electroencephalographic (EEG) signal detected by the embedded sensor of the NeuroSky Mindwave Mobile headse…
preprints
2022
置信度 0.74
-
Abstract Background Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report …
preprints
Paul Dominick E. Baniqued, Emily C. Stanyer, Muhammad Awais, Ali Alazmani 等
2019
置信度 0.74
RehabilitationCochrane LibraryBrain–computer interfacePhysical medicine and rehabilitationPsycINFO
-
Brain-computer interfaces have been largely developed to allow communication, control, and neurofeedback in human beings. Despite their great potential, BCIs perform inconsistently across individuals. Moreover, the neural processes activated by training that e…
preprints
2018
置信度 0.74
-
Brain decoding — the process of inferring a person’s momentary cognitive state from their brain activity — has enormous potential in the field of human-computer interaction. In this study we propose a zero-shot EEG-to-image brain decoding approach which makes …
preprints
2019
置信度 0.74
-
Intracortical brain-computer interfaces (iBCIs) provide people with paralysis a means to control devices with signals decoded from brain activity. Despite recent impressive advances, these devices still cannot approach able-bodied levels of control. To achieve…
preprints
2020
置信度 0.74
-
Objective One of the main goals of brain-computer interfaces (BCI) is to restore communication abilities in patients. BCIs often use event-related potentials (ERPs) like the P300 which signals the presence of a target in a stream of stimuli. The P300 and relat…
preprints
2020
置信度 0.74
-
Brain-computer interfaces (BCIs) are promising tools for assisting patients with paralysis, but suffer from long training times and variable user proficiency. Mind-body awareness training (MBAT) can improve BCI learning, but how it does so remains unknown. Her…
preprints
2020
置信度 0.74
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Motor imagery-based brain-computer interfaces (BCIs) use an individual’s ability to volitionally modulate localized brain activity, often as a therapy for motor dysfunction or to probe causal relations between brain activity and behavior. However, many individ…
preprints
2019
置信度 0.74
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The classification of m otor i magery e l e ctroencephalo g ram (MI-EEG) is a pivotal part of the biosignal classification in the b rain- c omputer i nterface (BCI) applications. Currently, this bio-engineering based technology is being employed by researchers…
preprints
2020
置信度 0.74
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Abstract In this paper, we present a Brain-Computer Interface (BCI) that is able to reach an information transfer rate (ITR) of more than 1200 bit/min using non-invasively recorded EEG signals. By combining the EEG2Code method with deep learning, we present an…
preprints
Sebastian Nagel, Martin Spüler
2019
置信度 0.74
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Calcium imaging has rapidly developed into a powerful tool for recording from large populations of neurons in vivo . Imaging in rhesus macaque motor cortex can enable the discovery of new principles of motor cortical function and can inform the design of next …
preprints
2019
置信度 0.74