CONTROL-CORE: A Modular Simulation Environment for Design and Prototyping of Closed-loop Peripheral Neuromodulation Control Systems using the O2S2PARC Platform

CONTROL-CORE：使用 O2S2PARC 平台进行闭环外周神经调节控制系统设计和原型设计的模块化仿真环境

• 批准号: 10401702
• 负责人: Mayuresh V Kothare
• 金额: $ 1.73万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-15 至 2022-09-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10401702
• 关键词: CONTROL; CORE; Modular; Simulation; Environment

The overarching objective of this proposal is to develop a virtual simulation environment called CONTROL-CORE for in silico experimentation with the design, analysis, prototyping, deployment and execution of feedback control architectures for closed-loop stimulation of the peripheral nervous system. To advance this goal, we will use existing data and models in the cardiac and gastrointestinal (GI) systems and leverage the O²S²PARC platform to demonstrate the basic building blocks for the proposed CONTROL-CORE simulation platform. The two chosen systems cover the two extremes of SPARC-relevant organs in two ways: (1) very slow (GI system) to very fast (cardiac) time scales; and (2) fully data-driven (GI system) to very detailed mechanistic (cardiac) models due to the different levels of basic understanding of these organs. This will allow us to develop tools that are likely to be applicable to other SPARC-relevant organs/functions that lie between these two extremes. We will use containerization and workflow management services to create modular algorithm libraries to ensure reproducibility. CONTROL-CORE will be central to the successful deployment of electroceutical closed-loop neuromodulation therapies in the next 1-4 years by enabling experimentalists, modelers and device developers to work in concert and share results in a unified framework. In particular, planning of in vivo studies for developing personalizable therapies using closed-loop peripheral neuromodulation strategies will be greatly facilitated by the in silico testing capabilities provided by CONTROL-CORE. To this end, the major tasks to be performed include: Task 1- Develop the CONTROL-CORE algorithm libraries to enable modular construction, simulation and prototyping of closed-loop neuromodulation control architectures. We will develop closed-loop control algorithms based on data-driven models (GI) and mechanistic models (cardiac) of the organ system. Task 2- Develop the CONTROL-CORE software and services for containerization of the algorithms and models, and orchestration of the containers to construct and prototype closed-loop control pipelines and seamless integration with the O2S2PARC platform. Task 3- Integrate CONTROL-CORE with the O2S2PARC platform and validate closed-loop simulation in the O2S2PARC using the cardiac mechanistic models and the GI data-driven models. After validation, we will prepare documentations and disseminate the tools and procedures. We will employ an iterative design and development process to ensure compatibility with the O2S2PARC platform. The major deliverables of the project include: (1) Incorporation of at least one data driven model for GI and one mechanistic/mixed grey-box model for cardiac system in a format suitable for controller testing within O2S2PARC. (2) At least one closed-loop control algorithm connecting measured output to stimulation input for the GI system and one for the cardiac system outside of O2S2PARC. (3) A plan to identify required technical capabilities for SIM-CORE to be compatible with CONTROL-CORE for simulating pipeline systems with closed-loops. (4) Implementation of at least one model and one controller, in closed-loop, containerized and deployed in the O2S2PARC platform. (5) Closed-loop control system demonstrating simulations for each expository case -- the GI system and the cardiac system within O2S2PARC.

该提案的总体目标是开发一个虚拟仿真环境， CONTROL-CORE用于设计、分析、原型制作和部署的计算机实验 以及执行用于外围设备的闭环刺激的反馈控制架构 神经系统为了推进这一目标，我们将使用现有的数据和模型在心脏 和胃肠道（GI）系统，并利用O²S²PARC平台展示 提出的CONTROL-CORE仿真平台的基本构建块。两 选定的系统以两种方式涵盖了与《南太平洋区域合作框架》有关的机构的两个极端：（1）非常缓慢 (GI系统）非常快（心脏）的时间尺度;和（2）完全数据驱动（GI系统）非常详细 机械（心脏）模型，由于对这些器官的基本理解水平不同。 这将使我们能够开发可能适用于其他与南太平洋区域合作有关的工具。 介于这两个极端之间的器官/功能。我们将使用容器化和工作流 管理服务，以创建模块化算法库，以确保可重复性。 CONTROL-CORE将是成功部署电气闭环的核心 神经调节疗法在未来1-4年，使实验学家，建模师和 设备开发人员协同工作，并在统一的框架中共享成果。特别是， 规划体内研究，以开发使用闭环外周血管的个性化治疗 神经调节策略将通过所提供的计算机测试能力而得到极大的促进 控制核心为此，将执行的主要任务包括： 任务1-开发CONTROL-CORE算法库以实现模块化构造， 闭环神经调节控制架构的仿真和原型设计。我们将开发 基于数据驱动模型（GI）和机械模型的闭环控制算法 （心脏的）器官系统的。 任务2-为集装箱化开发控制核心软件和服务 算法和模型，以及容器的编排，以构建和原型化闭环 控制管道，并与O2 S2 PARC平台无缝集成。 任务3-将CONTROL-CORE与O2 S2 PARC平台集成并验证闭环 使用心脏机制模型和GI数据驱动模型在O2 S2 PARC中进行模拟。 验证后，我们将准备文件并分发工具和程序。 我们将采用迭代设计和开发过程，以确保与 O2 S2 PARC平台。该项目的主要成果包括： (1)纳入至少一个GI数据驱动模型和一个机械/混合灰箱 心脏系统模型，格式适合于O2 S2 PARC内的控制器测试。 (2)至少一个闭环控制算法，将测量输出连接到刺激输入 一个用于GI系统，一个用于O2 S2 PARC之外的心脏系统。 (3)确定SIM-CORE兼容所需技术能力的计划 CONTROL-CORE用于模拟闭环管道系统。 (4)至少一个模型和一个控制器的实现，在闭环，集装箱化和 在O2 S2 PARC平台上部署。 (5)闭环控制系统演示模拟每个瞬态情况-GI 系统和O2 S2 PARC内的心脏系统。