Decoding Motor Signals From the Pediatric Cortex: Implications for Brain-Computer Interfaces in Children

Gaona, Charles M.; Roland, Jarod L.; Sharma, Mohit; Anderson, Nicholas; Bundy, David T.; Freudenburg, Zachary V.; Smyth, Matthew D.; Zempel, John; Limbrick, David D.; Smart, William D.; Leuthardt, Eric C.

doi:10.1542/peds.2010-1519

Cited by 21 publications

(49 citation statements)

References 31 publications

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“…Moreover, very quick adaptation was possible: all six children achieved accuracies of 70-99% within nine minutes of training (using the same tasks). This result was similar to that achieved by adult patients [3]. There is need for further research on bigger samples of young patients, especially to assess if children's computer control is comparable to the performance in adults in a way allowing for the use of the same or similar devices.…”

Section: Researchsupporting

confidence: 77%

The prospects of brain — computer interface applications in children

Mikołajewska

Mikołajewski

2014

Open Medicine

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AbstractThe restoring of motor functions in adults through brain-computer interface applications is widely studied in the contemporary literature. But there is a lack of similar analyses and research on the application of brain-computer interfaces in the neurorehabilitation of children. There is a need for expanded knowledge in the aforementioned area. This article aims at investigating the extent to which the available opportunities in the area of neurorehabilitation and neurological physiotherapy of children with severe neurological deficits using brain-computer interfaces are being applied, including our own concepts, research and observations.

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Section: Researchsupporting

confidence: 77%

The prospects of brain — computer interface applications in children

Mikołajewska

Mikołajewski

2014

Open Medicine

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“…According to current knowledge, the application of BCIs in children is possible. The results are similar to those in adult patients [14,15]. Thus BCIs and NPs are a perceived opportunity to treat children with severe motor disabilities, for example.…”

Section: Areas Of Particular Ethical Awarenesssupporting

confidence: 76%

Ethical considerations in the use of brain-computer interfaces

Mikołajewska

Mikołajewski²

2013

Open Medicine

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AbstractNervous system disorders are among the most severe disorders. Significant breakthroughs in contemporary clinical practice may provide brain-computer interfaces (BCIs) and neuroprostheses (NPs). The aim of this article is to investigate the extent to which the ethical considerations in the clinical application of brain-computer interfaces and associated threats are being identified. Ethical considerations and implications may significantly influence further development of BCIs and NPs. Moreover, there is significant public interest in supervising this development. Awareness of BCIs’ and NPs’ threats and limitations allow for wise planning and management in further clinical practice, especially in the area of long-term neurorehabilitation and care.

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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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Decoding Motor Signals From the Pediatric Cortex: Implications for Brain-Computer Interfaces in Children

Abstract: Similarly to adult brain signals, pediatric brain signals can be decoded and used for BCI operation. Therefore, BCI systems developed for adults likely hold similar promise for children with motor disabilities.

Cited by 21 publications

References 31 publications

The prospects of brain — computer interface applications in children

The prospects of brain — computer interface applications in children

Ethical considerations in the use of brain-computer interfaces

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

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