SBIR Phase II: Analog front end (AFE) platform for lightweight, long-term, cortical monitoring

这一小型企业创新研究（SBIR）II期项目的更广泛影响/商业潜力提供了下一代动态癫痫发作数据采集。在COVID-19健康危机期间，移动的健康进步的出现使人们能够考虑新的创新。这一努力为下一系列远程神经学数据采集能力提供了一个框架，用于实现检测战场创伤性脑损伤的军用头盔设计，检测运动相关脑损伤的足球头盔设计，检测创伤的第一响应团队的帽子，用于远程偏头痛评估的家庭监控耳机，一个完整的模拟前端（AFE）将被开发，以提供数字化的脑电图（EEG）信号的下游阶段。该项目将在几个领域产生重大影响，即可穿戴生物设备，数据融合，神经数据提取和复杂生物系统的可视化。该设备可用于神经创伤现场的第一响应者，如紧急医疗技术人员、前线医疗区域和体育相关事件。该小型企业创新研究第二阶段项目将提供一个强大的移动终端，可在家中佩戴，用于远程神经监测。 该解决方案将从脑电图信号中去除噪声伪影，以便执行神经学诊断并向神经科医生提供神经学报告，以帮助量化患者的癫痫发作情况。模拟前端（AFE）为便携式脑电图（EEG）设备提供了基础，用于临床、学术和研究社区的神经数据采集。动态癫痫监测设备将使端到端系统能够将强大，轻量级的数据传输到云服务，这将为医生生成报告，以分析患者的神经学数据进行治疗。该系统将把当前兴起的健康设备扩展到神经系统状态的复杂环境中，以及神经分析的最终发展。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project provides next generation ambulatory seizure data acquisition. The advent of mobile health advances during the COVID-19 health crisis have enabled new innovations to be considered. This effort provides a framework for the next line of remote neurological data acquisition capabilities for the implementation of military helmet designs that detect battlefield traumatic brain injuries, football helmet designs that detect sports-related brain injuries, caps for first responder teams that detect trauma, at-home monitoring headsets for remote migraine assessment, etc. A complete analogue front end (AFE) will be developed in order to provide digitized electroencephalograph (EEG) signals to the downstream stages. The project will have a major impact in several areas, namely, wearable bio-devices, data fusion, and neurological data extraction and visualization of complex biological systems. This device can be utilized for first responders at the scene of neurological trauma such as emergency medical technicians, battle front medical areas, and sports related events.This Small Business Innovation Research Phase II project will provide a robust mobile device that can be worn in an at-home setting for remote neurological monitoring. The solution will remove noisy artifacts from the electroencephalograph signal in order to perform neurological diagnoses and provide neurological reporting to the neurologist as an aid to quantify the patient’s seizure instances. The analogue front end (AFE) provides the foundation for a portable electroencephalograph (EEG) device for neurological data acquisition for the clinical, academic, and research communities. The ambulatory seizure monitoring device will enable an end-to-end system for robust, lightweight, data transmission to a cloud service, which will generate reports for the physician to analyze a patient neurological data for treatment. This system will extend the current rise of health devices into the complex environment of neurological states, as well as the eventual development of neuro-analytics.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.