Brain-Computer Interface: Current and Emerging Rehabilitation Applications

Daly, Janis J.; Huggins, Jane E.

doi:10.1016/j.apmr.2015.01.007

Cited by 90 publications

(45 citation statements)

References 108 publications

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“…The benefits of integrating ROS in BCI driven devices are not limited to telepresence purposes. For instance, the robustness and the reliability provided by ROS can be exploited to encourage the use of the BCI in more sensitive domains such as car applications [25], rehabilitation [26], pediatric interventions [27] and pain mitigation [28].…”

Section: Discussionmentioning

confidence: 99%

Brain-Computer Interface Meets ROS: A Robotic Approach to Mentally Drive Telepresence Robots

Beraldo

Antonello

Cimolato

et al. 2018

2018 IEEE International Conference on Robotics and Automation (ICRA)

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This paper shows and evaluates a novel approach to integrate a non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) to mentally drive a telepresence robot. Controlling a mobile device by using human brain signals might improve the quality of life of people suffering from severe physical disabilities or elderly people who cannot move anymore. Thus, the BCI user is able to actively interact with relatives and friends located in different rooms thanks to a video streaming connection to the robot. To facilitate the control of the robot via BCI, we explore new ROS-based algorithms for navigation and obstacle avoidance, making the system safer and more reliable. In this regard, the robot can exploit two maps of the environment, one for localization and one for navigation, and both can be used also by the BCI user to watch the position of the robot while it is moving. As demonstrated by the experimental results, the user's cognitive workload is reduced, decreasing the number of commands necessary to complete the task and helping him/her to keep attention for longer periods of time.

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Section: Discussionmentioning

confidence: 99%

Brain-Computer Interface Meets ROS: A Robotic Approach to Mentally Drive Telepresence Robots

Beraldo

Antonello

Cimolato

et al. 2018

2018 IEEE International Conference on Robotics and Automation (ICRA)

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“…Brain-computer interface (BCI) systems offer a new direct communication channel between the brain and the outside world for patients with severe neuromuscular disease, such as amyotrophic lateral sclerosis or progressive muscular dystrophy, who have normal cognitive function (Carelli et al, 2017;Lazarou, Nikolopoulos, Petrantonakis, Kompatsiaris, & Tsolaki, 2018;Wolpaw, Birbaumer, McFarland, Pfurtscheller, & Vaughan, 2002). BCI systems usually translate the intentions of a user into computer commands by noninvasively recording electroencephalography (EEG) signals on the head surface (Allison, Wolpaw, & Wolpaw, 2007;Daly & Huggins, 2015;Monge-Pereira et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Happy emotion cognition of bimodal audiovisual stimuli optimizes the performance of the P300 speller

Gao

et al. 2019

Brain and Behavior

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Objective Prior studies of emotional cognition have found that emotion‐based bimodal face and voice stimuli can elicit larger event‐related potential (ERP) amplitudes and enhance neural responses compared with visual‐only emotional face stimuli. Recent studies on brain–computer interface have shown that emotional face stimuli have significantly improved the performance of the traditional P300 speller system, but its performance needs to be further improved for practical applications. Therefore, we herein propose a novel audiovisual P300 speller based on bimodal emotional cognition to further improve the performance of the P300 system. Methods The audiovisual P300 speller we proposed is based on happy emotions, with visual and auditory stimuli that consist of several pairs of smiling faces and audible chuckles (E‐AV spelling paradigm) of different ages and sexes. The control paradigm was the visual‐only emotional face P300 speller (E‐V spelling paradigm). Results We compared the ERP amplitudes, accuracy, and raw bit rate between the E‐AV and E‐V spelling paradigms. The target stimuli elicited significantly increased P300 amplitudes (p < .05) and P600 amplitudes (p < .05) in the E‐AV spelling paradigm compared with those in the E‐V paradigm. The E‐AV spelling paradigm also significantly improved the spelling accuracy and the raw bit rate compared with those in the E‐V paradigm at one superposition (p < .05) and at two superpositions (p < .05). Significance The proposed emotion‐based audiovisual spelling paradigm not only significantly improves the performance of the P300 speller, but also provides a basis for the development of various bimodal P300 speller systems, which is a step forward in the clinical application of brain–computer interfaces.

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“…Electroencephalogram (EEG) features have been shown to correlate with functional recovery after stroke, both across subjects [23–26] and in longitudinal studies [10, 27–31]. However, the signal features traditionally utilized for such purposes are not sufficiently specific, and the search for more suitable features continues [13]. Because most brain functions involve the coordination of multiple neuronal assemblies, measures that quantify functional connectivity (FC) may prove more beneficial in this pursuit than traditional signal analysis techniques [32–37].…”

Section: Introductionmentioning

confidence: 99%

Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery

Philips

Daly

Prı́ncipe

2017

J NeuroEngineering Rehabil

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BackgroundBiomarkers derived from neural activity of the brain present a vital tool for the prediction and evaluation of post-stroke motor recovery, as well as for real-time biofeedback opportunities.MethodsIn order to encapsulate recovery-related reorganization of brain networks into such biomarkers, we have utilized the generalized measure of association (GMA) and graph analyses, which include global and local efficiency, as well as hemispheric interdensity and intradensity. These methods were applied to electroencephalogram (EEG) data recorded during a study of 30 stroke survivors (21 male, mean age 57.9 years, mean stroke duration 22.4 months) undergoing 12 weeks of intensive therapeutic intervention.ResultsWe observed that decreases of the intradensity of the unaffected hemisphere are correlated (r s=−0.46;p<0.05) with functional recovery, as measured by the upper-extremity portion of the Fugl-Meyer Assessment (FMUE). In addition, high initial values of local efficiency predict greater improvement in FMUE (R 2=0.16;p<0.05). In a subset of 17 subjects possessing lesions of the cerebral cortex, reductions of global and local efficiency, as well as the intradensity of the unaffected hemisphere are found to be associated with functional improvement (r s=−0.60,−0.66,−0.75;p<0.05). Within the same subgroup, high initial values of global and local efficiency, are predictive of improved recovery (R 2=0.24,0.25;p<0.05). All significant findings were specific to the 12.5–25 Hz band.ConclusionsThese topological measures show promise for prognosis and evaluation of therapeutic outcomes, as well as potential application to BCI-enabled biofeedback.

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Brain-Computer Interface: Current and Emerging Rehabilitation Applications

Abstract: 2016-11-02T18:49:00

Cited by 90 publications

References 108 publications

Brain-Computer Interface Meets ROS: A Robotic Approach to Mentally Drive Telepresence Robots

Brain-Computer Interface Meets ROS: A Robotic Approach to Mentally Drive Telepresence Robots

Happy emotion cognition of bimodal audiovisual stimuli optimizes the performance of the P300 speller

Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery

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