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通过多学科国家网络推进严重残疾儿童的脑机接口应用:加拿大首届儿科脑机接口会议总结

Advancing Brain-Computer Interface Applications for Severely Disabled Children Through a Multidisciplinary National Network: Summary of the Inaugural Pediatric BCI Canada Meeting.

作者信息

Kinney-Lang Eli, Kelly Dion, Floreani Erica D, Jadavji Zeanna, Rowley Danette, Zewdie Ephrem Takele, Anaraki Javad R, Bahari Hosein, Beckers Kim, Castelane Karen, Crawford Lindsey, House Sarah, Rauh Chelsea A, Michaud Amber, Mussi Matheus, Silver Jessica, Tuck Corinne, Adams Kim, Andersen John, Chau Tom, Kirton Adam

机构信息

Department of Pediatrics and Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

Cumming School of Medicine, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.

出版信息

Front Hum Neurosci. 2020 Dec 3;14:593883. doi: 10.3389/fnhum.2020.593883. eCollection 2020.

DOI:10.3389/fnhum.2020.593883
PMID:33343318
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7744376/
Abstract

Thousands of youth suffering from acquired brain injury or other early-life neurological disease live, mature, and learn with only limited communication and interaction with their world. Such cognitively capable children are ideal candidates for brain-computer interfaces (BCI). While BCI systems are rapidly evolving, a fundamental gap exists between technological innovators and the patients and families who stand to benefit. Forays into translating BCI systems to children in recent years have revealed that kids can learn to operate simple BCI with proficiency akin to adults. BCI could bring significant boons to the lives of many children with severe physical impairment, supporting their complex physical and social needs. However, children have been neglected in BCI research and a collaborative BCI research community is required to unite and push pediatric BCI development forward. To this end, the pediatric BCI Canada collaborative network (BCI-CAN) was formed, under a unified goal to cooperatively drive forward pediatric BCI innovation and impact. This article reflects on the topics and discussions raised in the foundational BCI-CAN meeting held in Toronto, ON, Canada in November 2019 and suggests the next steps required to see BCI impact the lives of children with severe neurological disease and their families.

摘要

成千上万患有后天性脑损伤或其他早期神经疾病的年轻人,在与外界交流互动有限的情况下生活、成长和学习。这类认知能力正常的儿童是脑机接口(BCI)的理想适用对象。尽管BCI系统正在迅速发展,但技术创新者与有望从中受益的患者及家庭之间仍存在根本差距。近年来将BCI系统应用于儿童的尝试表明,孩子们能够学会熟练操作简单的BCI,其熟练程度与成年人相近。BCI可以给许多严重身体残疾的儿童的生活带来巨大益处,满足他们复杂的身体和社交需求。然而,儿童在BCI研究中一直被忽视,需要一个合作性的BCI研究社区来团结起来推动儿科BCI的发展。为此,加拿大儿科BCI合作网络(BCI-CAN)成立了,其统一目标是合作推动儿科BCI的创新和影响力。本文回顾了2019年11月在加拿大多伦多举行的BCI-CAN基础会议上提出的主题和讨论内容,并提出了让BCI影响患有严重神经疾病的儿童及其家庭生活所需的下一步措施。

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A Child's Right to Play: Results from the Brain-Computer Interface Game Jam 2019 (Calgary Competition).儿童的玩耍权利:2019年脑机接口游戏节(卡尔加里竞赛)的成果
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:6099-6102. doi: 10.1109/EMBC44109.2020.9176272.
2
Designing a flexible tool for rapid implementation of brain-computer interfaces (BCI) in game development.设计一种灵活的工具,用于在游戏开发中快速实现脑机接口(BCI)。
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:6078-6081. doi: 10.1109/EMBC44109.2020.9175801.
3
Clinician awareness of brain computer interfaces: a Canadian national survey.
影响中国普通公众对脑机接口技术社会接受度的因素:一项探索性研究。
Front Hum Neurosci. 2024 Oct 30;18:1423382. doi: 10.3389/fnhum.2024.1423382. eCollection 2024.
4
Fatigue in children using motor imagery and P300 brain-computer interfaces.使用运动想象和P300脑机接口的儿童疲劳情况
J Neuroeng Rehabil. 2024 Apr 24;21(1):61. doi: 10.1186/s12984-024-01349-2.
5
Brain-Computer Interfaces for Communication in Patients with Disorders of Consciousness: A Gap Analysis and Scientific Roadmap.用于意识障碍患者交流的脑机接口:差距分析与科学路线图
Neurocrit Care. 2024 Aug;41(1):129-145. doi: 10.1007/s12028-023-01924-w. Epub 2024 Jan 29.
6
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Brain Inform. 2023 Aug 4;10(1):20. doi: 10.1186/s40708-023-00199-3.
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J Child Neurol. 2023 Mar;38(3-4):223-238. doi: 10.1177/08830738231167736. Epub 2023 Apr 28.
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Workshops of the Eighth International Brain-Computer Interface Meeting: BCIs: The Next Frontier.第八届国际脑机接口会议研讨会:脑机接口:新的前沿领域
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