STTR Phase I: Portable Ultra-Resolution EEG for Improved Diagnosis and Treatment of Brain Disorders: Instrumentation and Algorithms

STTR 第一阶段：用于改进脑部疾病诊断和治疗的便携式超分辨率脑电图：仪器和算法

基本信息

批准号：
1843859
负责人：
Shawn Kelly
金额：
$ 22.5万
依托单位：
Precision Neuroscopics
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-02-15 至 2020-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1843859&HistoricalAwards=false
关键词：
STTR Phase Portable Ultra Resolution

项目摘要

This SBIR Phase I project will advance novel techniques for developing high-resolution noninvasive brain imaging systems, capable of recording unprecedented spatiotemporal resolution inferences of the brain activity for a portable system. These systems leverage novel fundamental analysis and results, and experimental demonstrations, that show that spatial resolution of Electroencephalography (EEG) is not saturated at densities of a few hundred electrodes, unlike what has been widely believed in clinical and neuroscience community. They also build on recent work by the PIs that enables faster and reliable acquisition of EEG signals. The success of the proposed work will help diagnose worsening brain injuries before the injury occurs. Brain injuries affect 1.7 million Americans every year. Commercially, it will enable higher resolution brain-machine interfaces for applications such as virtual reality interfacing and neuroprostheses, generating novel avenues for jobs and revenue through creation of an entirely new industry. This transdisciplinary effort brings together neuroscientists and engineers and the concepts developed in this effort will inform material for basic neuroscience and neuroengineering courses. The team will continue to publish and publicize their work at clinical conferences. One of the core employees will be a minority female who has contributed to the research, guided several other minority (and non-minority) female students, and now wants to lead the development end of this project.This effort builds a systematic platform that challenges the widely held belief that increasing electrode-densities of EEG to beyond a few hundred electrodes does not improve spatial resolution. There are several problems with the traditional EEG that the platform overcomes: (i) typically only 9-32 electrodes are used for clinical diagnoses and these are fundamentally limited to only providing poor spatial resolution; (ii) because traditional EEGs have low resolution, surgical treatments often require invasive procedures. E.g., for diagnosing severity or worsening of Traumatic Brain Injuries (TBI) by measuring parameters of cortical spreading depolarizations (CSDs), which are mediators of worsening brain injuries; (iii) long-term EEG measurements are cumbersome, and high-density systems can take hours of manual labor to install. The PIs' preliminary work provides strong evidence supporting the claim that ultra-high-density EEG will provide the first non-invasive and portable modality for high spatial and temporal resolution brain imaging. Novel brain-imaging algorithms will be developed and benchmarked against existing techniques and assessed using novel fundamental limits. Novel techniques will be deployed in the design of conductive sponges and in lowering power, enabling the platform to be portable and usable over long term. These improvements will be rigorously tested through simulations, experiments, and real data analysis.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.

该 SBIR 第一阶段项目将推进开发高分辨率非侵入性大脑成像系统的新技术，该系统能够为便携式系统记录前所未有的大脑活动时空分辨率推断。这些系统利用新颖的基础分析和结果以及实验演示，表明脑电图 (EEG) 的空间分辨率在数百个电极的密度下并未饱和，这与临床和神经科学界广泛认为的不同。它们还建立在 PI 最近的工作基础上，能够更快、更可靠地采集脑电图信号。这项工作的成功将有助于在损伤发生之前诊断出恶化的脑损伤。每年有 170 万美国人受到脑损伤的影响。在商业上，它将为虚拟现实接口和神经假体等应用提供更高分辨率的脑机接口，通过创建一个全新的行业来创造新的就业和收入途径。这项跨学科的工作汇集了神经科学家和工程师，这项工作中开发的概念将为基础神经科学和神经工程课程提供资料。该团队将继续在临床会议上发表和宣传他们的工作。其中一名核心员工将是一名少数民族女性，她为这项研究做出了贡献，指导了其他几名少数民族（和非少数民族）女学生，现在希望领导这个项目的开发。这项工作建立了一个系统化的平台，挑战人们普遍认为，将脑电图的电极密度增加到数百个电极以上并不能提高空间分辨率。该平台克服了传统脑电图的几个问题：(i) 通常仅使用 9-32 个电极进行临床诊断，这些电极从根本上仅限于提供较差的空间分辨率； (ii) 由于传统脑电图分辨率低，手术治疗通常需要侵入性操作。例如，通过测量皮质扩散去极化（CSD）参数来诊断创伤性脑损伤（TBI）的严重程度或恶化情况，皮质扩散去极化（CSD）是脑损伤恶化的介质； (iii) 长期脑电图测量很麻烦，而且高密度系统可能需要数小时的体力劳动才能安装。 PI 的初步工作提供了强有力的证据，支持超高密度脑电图将为高空间和时间分辨率脑成像提供第一个非侵入性和便携式模式。将开发新的大脑成像算法，并根据现有技术进行基准测试，并使用新的基本限制进行评估。新技术将应用于导电海绵的设计和降低功耗，使该平台能够便携且长期可用。这些改进将通过模拟、实验和真实数据分析进行严格测试。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Hydrophilic Conductive Sponge Sensors for Fast Setup, Low Impedance Bio-potential Measurements

用于快速设置、低阻抗生物电势测量的亲水性导电海绵传感器

DOI：
发表时间：
2020-01
期刊：
IEEE Engineering in Medicine and Biology Conference
影响因子：
0
作者：
Krishnan, Ashwati;Rozylowicz, Kalee;Kelly, Shawn K;Grover, Pulkit
通讯作者：
Grover, Pulkit

Feedback-based Electrode Rehydration for High Quality, Long Term, Noninvasive Biopotential Measurements and Current Delivery

基于反馈的电极补液可实现高质量、长期、无创生物电势测量和电流传输

DOI：
10.1109/biocas.2019.8919026
发表时间：
2019-01
期刊：
IEEE Biomedical Circuits and Systems
影响因子：
0
作者：
Krishnan, Ashwati;Weigle, Harper;Kelly, Shawn K;Grover, Pulkit
通讯作者：
Grover, Pulkit

Silence Localization

沉默定位

DOI：
10.1109/ner.2019.8717188
发表时间：
2019-03
期刊：
IEEE Conference on Neural Engineering
影响因子：
0
作者：
Chamanzar, Alireza;Grover, Pulkit
通讯作者：
Grover, Pulkit

Novel Electrodes for Reliable EEG Recordings on Coarse and Curly Hair

用于在粗毛和卷发上进行可靠脑电图记录的新型电极

DOI：
10.1109/embc44109.2020.9176067
发表时间：
2020-02-27
期刊：
bioRxiv
影响因子：
0
作者：
Arnelle Etienne;Tarana Laroia;Harper Weigle;Amber Afelin;S. Kelly;Ashwati Krishnan;P. Grover
通讯作者：
P. Grover

Neural silences can be localized rapidly using noninvasive scalp EEG

使用无创头皮脑电图可以快速定位神经沉默