Brain Computer Interface on Track to Home

Miralles, Felip; Vargiu, Eloisa; Dauwalder, Stefan; Solà, Marc; Müller-Putz, Gernot; Wriessnegger, Selina; Pinegger, Andreas; Kübler, Andrea; Halder, Sebastian; Käthner, Ivo; Martin, Suzanne; Daly, Jean; Armstrong, Elaine; Guger, Christoph; Hintermüller, Christoph; Lowish, Hannah

doi:10.1155/2015/623896

Cited by 48 publications

(39 citation statements)

References 49 publications

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“…BCI therapies can incorporate various therapeutic interventions in conjunction with traditional EEG-based BCIs or as adjuvants including: virtual reality [20,22,28,35], constraint-induced movement [9,11,41,42], robot-assisted movement therapy [8,30,43–45], and FES [5,12,24,39]. BCI therapy tasks are designed to recruit multiple sensory systems, such as visual and tactile.…”

Section: Bci Technology For Rehabilitationmentioning

confidence: 99%

A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke

Remsik

Young

Vermilyea

et al. 2016

Expert Review of Medical Devices

106

125

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Stroke is a leading cause of acquired disability resulting in distal upper extremity functional motor impairment. Stroke mortality rates continue to decline with advances in healthcare and medical technology. This has led to an increased demand for advanced, personalized rehabilitation. Survivors often experience some level of spontaneous recovery shortly after their stroke event; yet reach a functional plateau after which there is exiguous motor recovery. Nevertheless, studies have demonstrated the potential for recovery beyond this plateau. Non-traditional neurorehabilitation techniques, such as those incorporating the brain-computer interface (BCI), are being investigated for rehabilitation. BCIs may offer a gateway to the brain’s plasticity and revolutionize how humans interact with the world. Non-invasive BCIs work by closing the proprioceptive feedback loop with real-time, multi-sensory feedback allowing for volitional modulation of brain signals to assist hand function. BCI technology potentially promotes neuroplasticity and Hebbian-based motor recovery by rewarding cortical activity associated with sensory-motor rhythms through use with a variety of self-guided and assistive modalities.

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Section: Bci Technology For Rehabilitationmentioning

confidence: 99%

A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke

Remsik

Young

Vermilyea

et al. 2016

Expert Review of Medical Devices

106

125

View full text Add to dashboard Cite

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“…Evaluation results for a previous prototype have been published (Käthner et al, 2014; Daly et al, 2015a,b). The development efforts resulted in a final prototype that was first described by Miralles et al (2015a). The system is outlined briefly in the following section and its main components are illustrated in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

A Multifunctional Brain-Computer Interface Intended for Home Use: An Evaluation with Healthy Participants and Potential End Users with Dry and Gel-Based Electrodes

et al. 2017

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Current brain-computer interface (BCIs) software is often tailored to the needs of scientists and technicians and therefore complex to allow for versatile use. To facilitate home use of BCIs a multifunctional P300 BCI with a graphical user interface intended for non-expert set-up and control was designed and implemented. The system includes applications for spelling, web access, entertainment, artistic expression and environmental control. In addition to new software, it also includes new hardware for the recording of electroencephalogram (EEG) signals. The EEG system consists of a small and wireless amplifier attached to a cap that can be equipped with gel-based or dry contact electrodes. The system was systematically evaluated with a healthy sample, and targeted end users of BCI technology, i.e., people with a varying degree of motor impairment tested the BCI in a series of individual case studies. Usability was assessed in terms of effectiveness, efficiency and satisfaction. Feedback of users was gathered with structured questionnaires. Two groups of healthy participants completed an experimental protocol with the gel-based and the dry contact electrodes (N = 10 each). The results demonstrated that all healthy participants gained control over the system and achieved satisfactory to high accuracies with both gel-based and dry electrodes (average error rates of 6 and 13%). Average satisfaction ratings were high, but certain aspects of the system such as the wearing comfort of the dry electrodes and design of the cap, and speed (in both groups) were criticized by some participants. Six potential end users tested the system during supervised sessions. The achieved accuracies varied greatly from no control to high control with accuracies comparable to that of healthy volunteers. Satisfaction ratings of the two end-users that gained control of the system were lower as compared to healthy participants. The advantages and disadvantages of the BCI and its applications are discussed and suggestions are presented for improvements to pave the way for user friendly BCIs intended to be used as assistive technology by persons with severe paralysis.

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“…Clinicians may be ideally positioned to collect and provide a platform that puts patient and family desires at the center of research while mitigating the ethical challenges of including such potentially vulnerable patients in studies. Emerging formal patient and family engagement methods, such as usercentred design, may further facilitate this process in future BCI research [35,36].…”

Section: Discussionmentioning

confidence: 99%

Clinician awareness of brain computer interfaces: a Canadian national survey

Letourneau

Zewdie

Jadavji

et al. 2020

J NeuroEngineering Rehabil

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Background: Individuals with severe neurological disabilities but preserved cognition, including children, are often precluded from connecting with their environments. Brain computer interfaces (BCI) are a potential solution where advancing technologies create new clinical opportunities. We evaluated clinician awareness as a modifiable barrier to progress and identified eligible populations. Methods: We executed a national, population-based, cross-sectional survey of physician specialists caring for persons with severe disability. An evidence-and experience-based survey had three themes: clinician BCI knowledge, eligible populations, and potential impact. A BCI knowledge index was created and scored. Canadian adult and pediatric neurologists, physiatrists and a subset of developmental pediatricians were contacted. Secure, web-based software administered the survey via email with online data collection. Results: Of 922 valid emails (664 neurologists, 253 physiatrists), 137 (15%) responded. One third estimated that ≥10% of their patients had severe neurological disability with cognitive capacity. BCI knowledge scores were low with > 40% identifying as less than "vaguely aware" and only 15% as "somewhat familiar" or better. Knowledge did not differ across specialties. Only 6 physicians (4%) had patients using BCI. Communication and wheelchair control rated highest for potentially improving quality of life. Most (81%) felt BCI had high potential to improve quality of life. Estimates suggested that > 13,000 Canadians (36 M population) might benefit from BCI technologies. Conclusions: Despite high potential and thousands of patients who might benefit, BCI awareness among clinicians caring for disabled persons is poor. Further, functional priorities for BCI applications may differ between medical professionals and potential BCI users, perhaps reflecting that clinicians possess a less accurate understanding of the desires and needs of potential end-users. Improving knowledge and engaging both clinicians and patients could facilitate BCI program development to improve patient outcomes.

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Brain Computer Interface on Track to Home

Cited by 48 publications

References 49 publications

A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke

A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke

A Multifunctional Brain-Computer Interface Intended for Home Use: An Evaluation with Healthy Participants and Potential End Users with Dry and Gel-Based Electrodes

Clinician awareness of brain computer interfaces: a Canadian national survey

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