Intelligent Pre- and Post-Processing Algorithms for Autonomous Multiclass Brain-Computer Interfaces

自主多类脑机接口的智能预处理和后处理算法

• 批准号: EP/H012958/1
• 负责人: Damien Coyle
• 金额: $ 12.99万
• 依托单位: University of Ulster
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FH012958%2F1
• 关键词: Intelligent; Pre; Post; Processing; Algorithms

BCI technology can provide a communication pathway from the brain to the computer which does not rely on neuromuscular control therefore there are many potential beneficiaries of the technology such as those who require an alternative means of communication/control because of neuromuscular deficiencies due to disease, spinal cord injury or brain damage. Being able to offer these people an alternative means of communication through BCI could have a significant impact on their quality of life. There are other applications of BCI, yet to be fully proven and exploited, such as neurofeedback for stroke rehabilitation, the treatment of attention deficit disorder and epileptic seizure prediction, awareness detection for long distance drivers and personalised computing environment adaptation. BCI is also emerging as an augmentative technology in computer games and virtual reality technology and in numerous military applications.Dr. Coyle has been developing BCI technology at the Intelligent Systems Research Centre for the past 6 years and has made substantive progress in developing sophisticated signal processing tools which used to extract the information from a person's brainwaves i.e., their electroencephalogram (EEG) and translate this information into useful control signal for BCI control. To facilitate the advancement of the BCI under development by Dr. Coyle, a strategic partnership with the National Rehabilitation Hospital of Ireland has been agreed to trial BCI-based assistive technology for alternative communication, control and mobility. The research underway is at a stage where extensive clinical trials are required to validate and emphasise the importance of the R&D to date and to develop innovative tools and products for BCI related applications. The NRH is a very suitable institution on the island of Ireland to collaborate with in this endeavour, providing access to and facilitating trials with disabled patients. The NRH is the only in-patient rehabilitation hospital for the treatment of spinal cord injury and head trauma in the Rep. of Ireland and has extensive experience in working with spinal cord injury patients, stroke and head trauma patients and carrying out clinical trials with assistive technologies.With the NRH commitment to facilitating disabled participant trials, Dr. Coyle can focus on BCI technology developments and will be able to thoroughly test these developments in a clinical setting, with the aim of bringing BCI technology into the home. The first phase of the project will involve consolidating and refining Dr. Coyle's research to date in addition to preliminary trials where a number of BCI-specific applications, such as BCI controlled games and robot interfaces, will also be tested. At the end of phase 1 a BCI which can be easily setup, even by a layperson, with automated signal processing and calibration tools will be produced. The second phase of the project will involve extensive trials with healthy subjects to refine protocol, improve robustness and thoroughly validate the development before trials with disabled participants take place in phase 3 In summary, the aims of the two year project are - to produce an accurate and fast BCI system which can be easily configured with automated and advanced signal processing tools. - to develop useful application and make BCI usable and accessible to individuals in most need of the technology- to thoroughly evaluate BCI technology on at least 20 healthy and 10 disabled individuals, with trials carried out over a extended period to verify system robustness and stability.

脑机接口技术可以提供从大脑到计算机的通信途径，而不依赖于神经肌肉控制，因此该技术有许多潜在的受益者，例如那些由于疾病、脊髓损伤或脑损伤导致的神经肌肉缺陷而需要替代通信/控制手段的人。能够通过脑机接口为这些人提供另一种交流方式，可能会对他们的生活质量产生重大影响。脑机接口的其他应用尚未得到充分证实和开发，如中风康复的神经反馈、注意力缺陷障碍的治疗和癫痫发作预测、长途司机的意识检测和个性化计算环境适应。脑机接口也在电脑游戏和虚拟现实技术以及许多军事应用中作为一种增强技术出现。在过去的6年里，科伊尔一直在智能系统研究中心开发脑机接口技术，并在开发复杂的信号处理工具方面取得了实质性进展，这些工具用于从人的脑电波中提取信息，即脑电图（EEG），并将这些信息转化为有用的控制信号，用于脑机接口控制。为了促进Coyle博士正在开发的脑机接口的发展，已同意与爱尔兰国家康复医院建立战略伙伴关系，试用基于脑机接口的辅助技术，用于替代通信、控制和移动。目前正在进行的研究需要进行广泛的临床试验，以验证和强调迄今为止研发的重要性，并开发用于脑机接口相关应用的创新工具和产品。NRH是爱尔兰岛上一个非常适合在这方面进行合作的机构，为残疾患者提供接触和促进试验的机会。NRH是爱尔兰共和国唯一一家治疗脊髓损伤和头部创伤的住院康复医院，在治疗脊髓损伤患者、中风和头部创伤患者以及利用辅助技术开展临床试验方面拥有丰富的经验。随着NRH致力于促进残疾人参与试验，Coyle博士可以专注于脑机接口技术的发展，并将能够在临床环境中彻底测试这些发展，目的是将脑机接口技术带入家庭。该项目的第一阶段将包括巩固和完善Coyle博士迄今为止的研究，此外还将进行一些BCI特定应用的初步试验，如BCI控制的游戏和机器人界面，也将进行测试。在第一阶段结束时，将生产出具有自动信号处理和校准工具的BCI，即使是外行也可以轻松设置。该项目的第二阶段将涉及对健康受试者的广泛试验，以完善协议，提高鲁棒性，并在第三阶段对残疾参与者进行试验之前彻底验证开发结果。总之，这个为期两年的项目的目标是——生产一个准确、快速的BCI系统，该系统可以轻松地使用自动化和先进的信号处理工具进行配置。-开发有用的应用程序，使最需要该技术的个人可以使用和访问BCI -在至少20名健康个人和10名残疾人身上彻底评估BCI技术，并在较长时间内进行试验，以验证系统的稳健性和稳定性。

项目成果

Alpha and Theta Rhythm Abnormality in Alzheimer's Disease: A Study Using a Computational Model

• DOI: 10.1007/978-1-4614-0164-3_6
• 发表时间: 2011-01-01
• 期刊: FROM BRAINS TO SYSTEMS: BRAIN-INSPIRED COGNITIVE SYSTEMS 2010
• 作者: Bhattacharya, Basabdatta Sen;Coyle, Damien;Maguire, Liam P.
• 通讯作者: Maguire, Liam P.

Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model

使用仿生计算模型评估 Alpha 波段事件相关的同步/去同步

• 发表时间: 2012
• 期刊: Journal of Universal Computer Science
• 影响因子: 1
• 作者: Basab Bhattacharya

Opportunities, pitfalls and trade-offs in designing protocols for measuring the neural correlates of speech

• DOI: 10.1016/j.neubiorev.2022.104783
• 发表时间: 2022-07
• 期刊: Neuroscience & Biobehavioral Reviews
• 影响因子: 8.2
• 作者: Ciaran Cooney;R. Folli;D. Coyle

Time Series Analysis, Modeling and Applications - A Computational Intelligence Perspective

时间序列分析、建模和应用——计算智能视角

• DOI: 10.1007/978-3-642-33439-9_12
• 发表时间: 2013
• 作者: Coyle D