BCI2000+: A Software Platform for Adaptive Neurotechnologies

BCI2000：自适应神经技术的软件平台

• 批准号: 10037665
• 负责人: Peter Brunner
• 金额: $ 35.49万
• 依托单位: ALBANY MEDICAL COLLEGE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-15 至 2020-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10037665
• 关键词: Achievement; Adopted; Architecture; Behavior; Behavioral; Brain; Categories; Cerebral Palsy; Clinical Research; Communication; Complement; Complex; Computer software; Consumption; Data; Data Analyses; Development; Disease; Documentation; Electric Stimulation; Engineering; Feedback; Fostering; Generations; Goals; Head; Impairment; Injury; Investigation; Journals; Laboratories; Laboratory Research; Laboratory Study; Life; Measures; Methods; Modeling; Multicenter Studies; Muscle; Nervous System Physiology; Nervous system structure; Neuraxis; Output; Paper; Peer Review; Physiological; Process; Recovery; Recovery of Function; Reporting; Research; Research Personnel; Scientist; Security; Signal Transduction; Spinal cord injury; Stroke; Sum; System; Systems Development; Technology; Testing; Therapeutic; Time; Translations; Visual; Visualization software; Work; behavior measurement; brain computer interface; collaborative environment; cost; data acquisition; data integration; data management; data visualization; exhaustion; experience; flexibility; graphical user interface; improved; interoperability; multimodal data; multimodality; nervous system disorder; neurotechnology; new technology; novel; novel therapeutics; prosthesis control; prototype; research and development; research clinical testing; spinal cord and brain injury; stroke therapy; success; symposium; technology development; tool

Recent scientific and technical advances enable the development of systems for creating novel interactions with the central nervous system (CNS) that can induce beneficial plasticity. These systems, called adaptive neurotechnologies, measure signals from the CNS, derive from these signals the state of the CNS, and adaptively provide feedback that can restore, replace, enhance, supplement or improve CNS functions impaired by injury or disease. Thus, they can provide powerful new therapies for stroke, head or spinal cord injury, cerebral palsy, and other devastating disorders. For example, they can restore communication to people who have lost muscle control, and they can enhance functional recovery for people with spinal cord injury or stroke. The development of these technologies is impeded by the need for research groups to create specialized real-time software, which is usually a lengthy, difficult, expensive, and sometimes impractical task. Thus, realization of these new technologies could be greatly facilitated by a robust and flexible software platform that supports complex real-time interactions with the CNS throughout the development process, from the laboratory through clinical testing. The goal of this proposal is to create this platform. The central hypothesis is that, by creating this new platform and giving it to scientists, engineers, and clinicians, this software platform will accelerate realization of adaptive neurotechnologies that reduce the devastating impact of neurological disorders. This hypothesis is supported by the investigators' past experience and success in creating and disseminating BCI2000, a software platform for brain-computer interfaces (BCIs), one category of adaptive neurotechnologies. BCI2000 has supported scientific and clinical studies reported in over 1000 papers. This proposed project will transform BCI2000 into BCI2000+, a hardened, expanded, easy-to-use, and fully documented software platform for a broad range of adaptive neurotechnologies. Aim 1 will create a reliable, fail-safe, and fault-tolerant architecture, produce new functionalities for multimodal signal acquisition, real-time processing and output generation, and user extensions. Aim 2 will produce new graphical tools for rapid system prototyping, advanced signal and data visualization, comprehensive user-appropriate documentation, and auxiliary tools for data management and offline analysis. BCI2000+ will be optimized and validated through extensive in-lab testing and through beta testing by other groups. Achievement of these aims will produce BCI2000+, a software platform that supports new adaptive neurotech- nologies from initial laboratory studies through clinical testing. This robust, flexible, and easily adopted platform should encourage scientists, engineers, and clinicians to join in this exciting work; it should foster a collaborative environment that enables diverse investigators to work together and complement each other. In sum, the work proposed here will accelerate realization of novel adaptive neurotechnologies that enable scientific investigation and improve treatment for stroke, brain and spinal cord injury, and other devastating neurological disorders.

最近的科学和技术进步使创造新的相互作用的系统的发展成为可能