CAREER: Signal Models, Channel Capacity, and Information Rate for Noninvasive Brain Interfaces

职业：无创脑接口的信号模型、通道容量和信息率

• 批准号: 1149570
• 负责人: Deniz Erdogmus
• 金额: $ 50.46万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-02-01 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1149570&HistoricalAwards=false
• 关键词: CAREER; Signal; Models; Channel; Capacity; CAREER; Signal; Models; Channel; Capacity

The PI's ultimate research goal is to empower people with severe speech and physical impairments so they can live their lives to the fullest extent independently and productively. To this end, he will in this project exploit and advance emerging brain computer interface (BCI) technology by rigorously developing macro-level dynamic models for the visual evoked potentials (VEP) in the brain measured by electroencephalography (EEG) in the context of BCI design. The models will enable a communication channel interpretation of the BCI and will allow analysis and design breakthroughs stemming from the application of information theory and digital communication concepts. Cortical dynamics and background processes will be modeled using a probabilistic dynamic framework at a spatiotemporal scale appropriate for BCI analysis and design. Model-based performance limits on bandwidth and calibration accuracy will then be determined, in order to develop better information coding techniques for optimal communication bandwidth (speed) utilization and better subject training and model calibration procedures for best accuracy return on investment of effort. Prototype real-time applications that operate at optimal or near-optimal performance levels utilizing the developed theoretical advancements for communication and control will be implemented, to enable access by and support independence for the target user groups. Project outcomes will disrupt the trend of black-box BCI design by building dynamic system models for stimulus-to-EEG systems encountered in BCI applications, and treating them as stochastic communication channels in order to characterize signals accordingly and to employ information theoretic approaches to analysis and design. This novel theoretical framework will enable model-based quantitative characterization of BCI performance limits and will allow the design of optimal or near-optimal coding/decoding strategies as well as improved calibration procedures that will have immediate impact on increasing bandwidth and intent detection accuracy, as well as calibration duration reduction in BCI systems - primary barriers between laboratory prototypes and real-world-worthy BCI products.Broader Impacts: If successful this project will advance BCI technology to the next level, thereby revolutionizing human computer interaction and empowering persons with physical disabilities by enabling seamless control of computers and devices. The project will afford, through collaboration with the Center for Subsurface Sensing and Imaging Systems (CenSSIS) at Northeastern University as well as colleagues across departments and institutions, opportunities to both undergraduate engineering and non-engineering majors for enhanced learning and collaboration skills by immersing them in interdisciplinary cutting-edge research and design projects with societal impact. The PI will engage high school students and teachers in the research through his institution's Center for STEM Education. And he will inform the broader public of ongoing technological advances in the BCI field and raise disability awareness through collaboration with the Cahners ComputerPlace at the Boston Museum of Science.

PI的最终研究目标是赋予患有严重言语和身体障碍的人的能力，以便他们可以独立和高效地在最大程度上过着生活。 为此，他将在该项目中利用并推动新兴的大脑计算机界面（BCI）技术，通过在BCI设计的背景下通过脑电脑术（EEG）测量的大脑中的视觉诱发电位（VEP）进行严格开发宏观动态模型（VEP）。 这些模型将实现BCI的通信渠道解释，并允许通过信息理论和数字通信概念的应用而产生的分析和设计突破。 皮质动力学和背景过程将使用适合BCI分析和设计的时空尺度上的概率动态框架进行建模。 然后将确定基于模型的带宽和校准精度的性能限制，以开发出更好的信息编码技术，以实现最佳通信带宽（速度）利用率（速度）利用率以及更好的主题培训和模型校准程序，以最佳准确的努力回报。 将实现以最佳或近乎最佳的性能级别运行的实时应用程序，利用开发的理论进步进行通信和控制，以实现目标用户组的访问并支持独立性。 项目成果将通过构建BCI应用中遇到的刺激到EEG系统的动态系统模型来破坏Black Box BCI设计的趋势，并将它们视为随机通信渠道，以便相应地表征信号并采用信息理论方法来分析和设计。 This novel theoretical framework will enable model-based quantitative characterization of BCI performance limits and will allow the design of optimal or near-optimal coding/decoding strategies as well as improved calibration procedures that will have immediate impact on increasing bandwidth and intent detection accuracy, as well as calibration duration reduction in BCI systems - primary barriers between laboratory prototypes and real-world-worthy BCI products.boarder的影响：如果成功的话，该项目将使BCI技术更加新的水平，从而彻底改变了人类的计算机互动，并通过无缝控制计算机和设备来赋予身体残障人士的能力。 该项目将通过与东北大学的地下传感和成像系统（人口普查）以及部门和机构的同事合作，提供本科工程学和非工程学专业的机会，从而使他们通过与社会跨学科的高级研究和设计项目中的融入，以增强学习和协作技能。 PI将通过其机构的STEM教育中心吸引高中生和老师参与研究。 他将通过与波士顿科学博物馆的Cahners Computerplace合作来告知BCI领域正在进行的技术进步，并提高残疾意识。