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Comparing Recalibration Strategies for Electroencephalography-Based Decoders of Movement Intention in Neurological Patients with Motor Disability

Eduardo López-Larraz, Jaime Ibáñez, Fernando Trincado-Alonso, Esther Monge-Pereira, José Luis Pons, Luis Montesano
2018 International Journal of Neural Systems  
To date, a systematic analysis of the effect of recalibration strategies in EEGdriven interfaces for motor rehabilitation has not yet been performed.  ...  The success of these therapies partly relies on the performance of the system decoding movement intentions, which normally has to be recalibrated to deal with the non-stationarities of the cortical activity  ...  Acknowledgments This work has been supported by Spanish Ministry of Science and Innovation (projects ASTONISH ECSEL-04-2015-RIA-692470-2 and ASSOCIATE-  ... 
doi:10.1142/s0129065717500605 pmid:29463157 fatcat:pxn5br4n7baz5d2rxss43ot4z4

EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review

Maged AL-Quraishi, Irraivan Elamvazuthi, Siti Daud, S. Parasuraman, Alberto Borboni
2018 Sensors  
The study of EEG-based control of assistive devices is still in early stages.  ...  a means of offering researchers and experts a comprehensive summary of the present, state-of-the-art EEG-based control techniques used for assistive technology.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s18103342 fatcat:nacqsogy5jfdvnq2pzviasdqdy

Human-Robot Interaction in Rehabilitation and Assistance: a Review

Abolfazl Mohebbi
2020 Current Robotics Reports  
routines in terms of activities for assistive systems and exercises for rehabilitation devices to fit each user's need and maximize their effectiveness.  ...  Such robots can be used in various day-to-day scenarios or to support motor functionality, training, and rehabilitation.  ...  They also designed a controller that allowed for bioelectric signal acquisition, processing, decoding of motor intent, prosthetic control, and sensory feedback.  ... 
doi:10.1007/s43154-020-00015-4 fatcat:t6vkv6iic5apxcvt7qvlqwoxjq

A high-performance neural prosthesis enabled by control algorithm design

Vikash Gilja, Paul Nuyujukian, Cindy A Chestek, John P Cunningham, Byron M Yu, Joline M Fan, Mark M Churchland, Matthew T Kaufman, Jonathan C Kao, Stephen I Ryu, Krishna V Shenoy
2012 Nature Neuroscience  
Figure 1 compares cursor movements for three different modalities: native arm control, ReFIT-KF and a velocity Kalman filter (Velocity-KF), which is state of the art for current neural prostheses (for  ...  cursors and robotic limbs, and thus offer individuals with disabilities greater interaction with the world.  ...  Ortega for mathematical insight, and S. Stavisky for data-collection assistance.  ... 
doi:10.1038/nn.3265 pmid:23160043 pmcid:PMC3638087 fatcat:42avulddj5guln4ft2sxz45mdu

Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface

Xiaowei Sun, Mingyue Li, Quan Li, Hongna Yin, Xicheng Jiang, Hongtao Li, Zhongren Sun, Tiansong Yang, Lei Jiang
2022 BioMed Research International  
This technique has been widely used in the rehabilitation of stroke patients in recent years and appears to promote motor function recovery after stroke.  ...  This paper reviews the promise and potential drawbacks of using BCI to treat poststroke cognitive impairment, providing a solid theoretical basis for the application of BCI in this area.  ...  (SCPs) [38] , and signals gener-ated by imagining motor movements without the need for actual muscle movement.  ... 
doi:10.1155/2022/9935192 pmid:35252458 pmcid:PMC8896931 fatcat:v6ighq7zmbfflll5ymo7jv2uc4

Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation

Mikhail A. Lebedev, Miguel A. L. Nicolelis
2017 Physiological Reviews  
As a result of these efforts, long-term continuous BMI use has been recently implicated with the induction of partial neurological recovery in spinal cord injury patients.  ...  and sensations to severely disabled patients.  ...  partial neurological recovery in severely disabled patients.  ... 
doi:10.1152/physrev.00027.2016 pmid:28275048 fatcat:26dy2lgh6nfppd3mjgoofyit6u

Electroencephalographic Recording of the Movement-Related Cortical Potential in Ecologically Valid Movements: A Scoping Review

Sharon Olsen, Gemma Alder, Mitra Williams, Seth Chambers, Mads Jochumsen, Nada Signal, Usman Rashid, Imran Khan Niazi, Denise Taylor
2021 Frontiers in Neuroscience  
The scarcity of research in clinical populations highlights the need for further research in people with neurological and age-related conditions to progress our understanding of the MRCPs characteristics  ...  The movement-related cortical potential (MRCP) is a brain signal that can be recorded using surface electroencephalography (EEG) and represents the cortical processes involved in movement preparation.  ...  GI -Using a continuous decoder based on a combination of MRCP and ERD features, the accuracy for detecting walking intention was 70%.  ... 
doi:10.3389/fnins.2021.721387 pmid:34650399 pmcid:PMC8505671 fatcat:znuyqoa665b4few33ds3765bfq

An Introductory Tutorial on Brain–Computer Interfaces and Their Applications

Andrea Bonci, Simone Fiori, Hiroshi Higashi, Toshihisa Tanaka, Federica Verdini
2021 Electronics  
The prospect and potentiality of interfacing minds with machines has long captured human imagination.  ...  Applications of brain–computer interfaces are being explored in applications as diverse as security, lie detection, alertness monitoring, gaming, education, art, and human cognition augmentation.  ...  demonstrated 3D control by leveraging a motor imagery paradigm with intelligent control strategies.  ... 
doi:10.3390/electronics10050560 fatcat:g2d57exmcbghlkf2rekmgdjhae

Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke

A. Biasiucci, R. Leeb, I. Iturrate, S. Perdikis, A. Al-Khodairy, T. Corbet, A. Schnider, T. Schmidlin, H. Zhang, M. Bassolino, D. Viceic, P. Vuadens (+2 others)
2018 Nature Communications  
Electroencephalography analysis pinpoints significant differences in favor of the BCI group, mainly consisting in an increase in functional connectivity between motor areas in the affected hemisphere.  ...  Brain-computer interfaces (BCI) are used in stroke rehabilitation to translate brain signals into intended movements of the paralyzed limb.  ...  Acknowledgements We are grateful to the patients, and their families, who participated in this study.  ... 
doi:10.1038/s41467-018-04673-z pmid:29925890 pmcid:PMC6010454 fatcat:shwfs2643jej7jjd256meqgtn4

Demonstration of a Semi-Autonomous Hybrid Brain–Machine Interface Using Human Intracranial EEG, Eye Tracking, and Computer Vision to Control a Robotic Upper Limb Prosthetic

David P. McMullen, Guy Hotson, Kapil D. Katyal, Brock A. Wester, Matthew S. Fifer, Timothy G. McGee, Andrew Harris, Matthew S. Johannes, R. Jacob Vogelstein, Alan D. Ravitz, William S. Anderson, Nitish V. Thakor (+1 others)
2014 IEEE transactions on neural systems and rehabilitation engineering  
Sequential iterations of HARMONIE were tested in two pilot subjects implanted with electrocorticographic (ECoG) and depth electrodes within motor areas.  ...  Balanced accuracy for detecting movements was 91.1% and 92.9%, significantly greater than chance accuracies (p < 0.05).  ...  Further research must be done to quantify the accuracy of iEEG motor intention-based BMIs in appropriate patient populations to control the HARMONIE system.  ... 
doi:10.1109/tnsre.2013.2294685 pmid:24760914 pmcid:PMC4057363 fatcat:3po2had44fbz3ojf5wm6cpik6i

The Potential for a Speech Brain–Computer Interface Using Chronic Electrocorticography

Qinwan Rabbani, Griffin Milsap, Nathan E. Crone
2019 Neurotherapeutics  
Such a technology would potentially restore communication and improve quality of life for locked-in patients and other patients with severe communication disorders.  ...  Neural speech decoding is a comparatively new field but has shown much promise with recent studies demonstrating semantic, auditory, and articulatory decoding using electrocorticography (ECoG) and other  ...  Required Author Forms Disclosure forms provided by the authors are available with the online version of this article.  ... 
doi:10.1007/s13311-018-00692-2 pmid:30617653 pmcid:PMC6361062 fatcat:6y66u77cdreb7jhku666wklyha

Neuroengineering tools/applications for bidirectional interfaces, brain–computer interfaces, and neuroprosthetic implants – a review of recent progress

Ryan Mark Rothschild
2010 Frontiers in Neuroengineering  
The main focus of this review is to provide a holistic amalgamated overview of the most recent human in vivo techniques for implementing brain-computer interfaces (BCIs), bidirectional interfaces, and  ...  The concepts of non-invasive and invasive recording of brain activity are introduced. This includes classical and innovative techniques like electroencephalography and near-infrared spectroscopy.  ...  a robotic one, desirable aspects include: decoding user intentions to perform the desired motions; supplying sensory feedback to provide perception of the device in the environment; providing users with  ... 
doi:10.3389/fneng.2010.00112 pmid:21060801 pmcid:PMC2972680 fatcat:ykg6s452bjbbliolqunprh7oye

North American Society for the Psychology of Sport and Physical Activity Virtual Conference June 11–12, 2020

2020 Journal of Sport & Exercise Psychology (JSEP)  
activity in patients with SD.  ...  Many children, regardless of possessing a documented disability or not, are at-risk for delays with gross motor skills.  ...  The movr app is unique in that it is designed to enhance physical functioning and physical activity by prescribing functional movement training based on individualized movement assessments.  ... 
doi:10.1123/jsep.2020-0172 fatcat:7ap7mzw3rfcf5f5jfqwzhruj4y

Signal Processing for Non-Invasive Brain Biomarkers of Sensorimotor Performance and Brain Monitoring [chapter]

Rodolphe J., Hyuk Oh, Trent J., Bradley D., Jose L.
2010 Signal Processing  
the whole scalp compared with novices, with the effect most prominent in the right hemisphere.  ...  Still taking the example of patients with cerebral palsy, specifically, these brain biomarkers could provide insights into the effects of physical therapy by, for instance, estimating the benefit of motor  ...  This work is mainly destined to researchers in the signal processing related areas but it is also accessible to anyone with a scientific background desiring to have an up-to-date overview of this domain  ... 
doi:10.5772/8536 fatcat:rw55kqpglzdoboh2psahs3ww44

Brain–Computer Interfaces for Human Augmentation

Davide Valeriani, Caterina Cinel, Riccardo Poli
2019 Brain Sciences  
control signals for external devices for people with severe disabilities [...]  ...  The field of brain–computer interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of ever faster and more reliable assistive technologies for converting brain activity into  ...  Acknowledgments: This research was supported by the European Fund for Regional Development (EFRD-or EFRE in German) under Grants GE-1-1-047 and IT-1-2-001.  ... 
doi:10.3390/brainsci9020022 pmid:30682766 pmcid:PMC6406539 fatcat:4kjekrytqrcd7h4egrqlxsdbpq
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