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

SBIR 第一阶段：用于轻量级长期皮质监测的模拟前端 (AFE) 平台

• 批准号: 2050437
• 负责人: Mark Myers
• 金额: $ 25.56万
• 依托单位: NEURODYNE, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-15 至 2022-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2050437&HistoricalAwards=false
• 关键词: SBIR; Phase; Analog; front; end

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to demonstrate the feasibility of an intelligent, wearable electroencephalogram (EEG) monitoring and analytics platform as a remote seizure detection system. Epilepsy is a neurological disorder affecting 50 million people of all ages globally. Over 3 million people in the U.S. are affected with 150,000 new cases diagnosed each year. However, identifying and characterizing the type of seizure can be costly. EEGs record the electrical activity of the brain and can be used for epilepsy diagnosis. Today, this test is administered in a hospital setting and the patient is monitored continuously for several days. This project will enable the end-to-end system development of a robust, lightweight, wireless EEG cap to transmit signals remotely to a server, which will generate reports for the physician to analyze a patient neurological data for treatment. The proposed technology is a long-term, lightweight ambulatory seizure monitoring system offering advantages, including 1) Patients no longer have to endure long hospital stays, 2) More seizure instances can be detected outside clinical settings, and 3) Costs of ongoing monitoring are lowered. This Small Business Innovation Research (SBIR) Phase I project will: (1) demonstrate that a proposed Analog Front End (AFE) is the most noise-power efficient in the EEG band (1-100 Hz) compared to benchmarks; (2) develop a system power budget to optimize signal processing in a low-power environment; and (3) perform signal integrity analysis of error sources (electronic noise, mains power interference, etc.) to optimize performance. The AFE is the foundation of a proposed portable electroencephalograph (EEG) device for neurological data acquisition for the clinical, academic, and research communities. This system will extend the current rise of digital health devices into the complex environment of neurological states, as well as advancing new neuro-analytic systems.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.

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是证明智能，可穿戴脑电图（EEG）监测和分析平台作为远程癫痫发作检测系统的可行性。 癫痫是一种神经系统疾病，影响全球5000万各年龄段的人。美国有超过300万人受到影响，每年诊断出15万例新病例。然而，确定和描述缉获类型的费用可能很高。脑电图记录大脑的电活动，可用于癫痫诊断。今天，这种测试是在医院环境中进行的，患者会被连续监测几天。该项目将使端到端系统开发一个强大的，轻量级的，无线脑电图帽远程传输信号到服务器，这将生成报告，供医生分析患者的神经系统数据进行治疗。 所提出的技术是一种长期、轻便的非卧床癫痫发作监测系统，其优点包括：1）患者不再需要忍受长期住院，2）可以在临床环境之外检测到更多的癫痫发作，3）降低了持续监测的成本。 这个小型企业创新研究（SBIR）第一阶段项目将：（1）证明拟议的模拟前端（AFE）在EEG频段是最具噪声功率效率的（2）开发系统功率预算以优化低功率环境中的信号处理;以及（3）执行误差源（电子噪声、电源干扰等）的信号完整性分析。以优化性能。 AFE是用于临床、学术和研究社区的神经学数据采集的便携式脑电图（EEG）设备的基础。该系统将把当前兴起的数字健康设备扩展到神经系统状态的复杂环境中，并推进新的神经分析系统。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。