SBIR Phase I: Improving Diagnosis of Epilepsy by Applying Network Analytics to Non-Seizure Scalp EEG Data
SBIR 第一阶段:通过将网络分析应用于非癫痫发作头皮脑电图数据来改善癫痫的诊断
基本信息
- 批准号:2112011
- 负责人:
- 金额:$ 25.6万
- 依托单位:
- 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:2021-05-15 至 2022-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is the development of a novel electroencephalogram (EEG) analytics tool that will improve the speed and accuracy of diagnosing epilepsy. The tool is an easy-to-use software package that utilizes scalp EEG data. It is being developed as a cloud-based application designed to integrate with existing software packages and to provide easy-to-read heatmaps available within minutes. Epilepsy centers and other settings where EEG diagnostics are used will benefit from improved accuracy in diagnosing epilepsy: Currently the accuracy is estimated at less than 60%, whereas the proposed tool can improve this figure by over 25%, more accurately distinguishing between epileptic and non-epileptic pathologies from EEG alone. Furthermore, the technology will increase the speed of epilepsy diagnosis: Currently, patients often require multiple EEGs, during which they are at high risk of further seizures. The proposed tool will provide a definitive diagnostic on the first visit. This Small Business Innovation Research (SBIR) Phase I project involves performing a retrospective study to validate a novel EEG analytics tool on 60 or more patients, developing an algorithm to automate artifact removal from scalp EEG data most appropriate for this clinical application, and developing the tool as a cloud-based service. These milestones will facilitate clinical adoption and easy integration into the clinical workflow, both of which are necessary for successful commercialization of the innovation. The tool will predict if a brain network is epileptic while a patient is monitored at rest when no seizure occurs. The key strengths are the use of a dynamic network model (DNM) to uncover connections in the brain that only exist in an epilepsy patient during rest. All other FDA proved tools are based on individual EEG channel properties rather than network-based properties. As a result, their utility is limited to identifying abnormal events (e.g., when an EEG spike occurs), potentially vulnerable to artifacts. In addition, the proposed tool is transformative because it captures how nodes in a network dynamically influence each other, while clinical approaches rely on reading EEG with naked eyes.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.
这个小型企业创新研究(SBIR)第一阶段项目的更广泛的影响/商业潜力是开发一种新的脑电(EEG)分析工具,该工具将提高诊断癫痫的速度和准确性。该工具是一个使用头皮脑电数据的简单易用的软件包。它被开发为一个基于云的应用程序,旨在与现有的软件包集成,并在几分钟内提供易于阅读的热图。使用脑电诊断的癫痫中心和其他场所将受益于癫痫诊断准确率的提高:目前,准确率估计不到60%,而建议的工具可以将这一数字提高25%以上,更准确地区分癫痫和非癫痫病理。此外,该技术将提高癫痫诊断的速度:目前,患者经常需要多个脑电图,在此期间,他们面临着进一步癫痫发作的高风险。建议的工具将在第一次访问时提供明确的诊断。该小型企业创新研究(SBIR)第一阶段项目包括进行一项回溯性研究,以在60名或更多患者身上验证一种新的脑电分析工具,开发一种算法以自动从最适合该临床应用的头皮脑电数据中去除伪影,并将该工具开发为基于云的服务。这些里程碑将促进临床采用和轻松整合到临床工作流程中,这两者都是创新成功商业化所必需的。该工具将预测大脑网络是否患有癫痫,而当患者没有癫痫发作时,则会在休息时进行监测。关键的优势是使用动态网络模型(DNM)来发现大脑中只有癫痫患者在休息时才存在的连接。FDA证明的所有其他工具都是基于单个EEG通道属性,而不是基于网络的属性。因此,它们的用途仅限于识别异常事件(例如,当EEG尖峰出现时),可能容易受到伪影的影响。此外,拟议的工具具有变革性,因为它捕获了网络中的节点如何动态相互影响,而临床方法依赖于肉眼读取EEG。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势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(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Adam Li其他文献
Safe Planning for Articulated Robots Using Reachability-based Obstacle Avoidance With Spheres
使用基于可达性的球体避障来安全规划铰接式机器人
- DOI:
10.48550/arxiv.2402.08857 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Jonathan Michaux;Adam Li;Qingyi Chen;Che Chen;Bohao Zhang;Ram Vasudevan - 通讯作者:
Ram Vasudevan
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks
流形倾斜随机森林:缩小卷积深度网络的差距
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:3.6
- 作者:
Adam Li;Ronan Perry;Chester Huynh;Tyler M. Tomita;Ronak R. Mehta;Jesús Arroyo;Jesse Patsolic;Benjamin Falk;S. Sarma;J. Vogelstein - 通讯作者:
J. Vogelstein
Fragility in epileptic networks: The epileptogenic zone
癫痫网络的脆弱性:致癫痫区
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Adam Li;S. Inati;K. Zaghloul;S. Sarma - 通讯作者:
S. Sarma
Analysis of Neural Fragility: Bounding the Norm of a Rank-One Perturbation Matrix
神经脆弱性分析:限制一阶扰动矩阵的范数
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Adam Li;Chester Huynh - 通讯作者:
Chester Huynh
Learning sources of variability from high-dimensional observational studies
从高维观察研究中学习变异性的来源
- DOI:
10.48550/arxiv.2307.13868 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Eric W. Bridgeford;Jaewon Chung;B. Gilbert;Sambit Panda;Adam Li;Cencheng Shen;A. Badea;B. Caffo;J. Vogelstein - 通讯作者:
J. Vogelstein
Adam Li的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似国自然基金
Baryogenesis, Dark Matter and Nanohertz Gravitational Waves from a Dark
Supercooled Phase Transition
- 批准号:24ZR1429700
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
ATLAS实验探测器Phase 2升级
- 批准号:11961141014
- 批准年份:2019
- 资助金额:3350 万元
- 项目类别:国际(地区)合作与交流项目
地幔含水相Phase E的温度压力稳定区域与晶体结构研究
- 批准号:41802035
- 批准年份:2018
- 资助金额:12.0 万元
- 项目类别:青年科学基金项目
基于数字增强干涉的Phase-OTDR高灵敏度定量测量技术研究
- 批准号:61675216
- 批准年份:2016
- 资助金额:60.0 万元
- 项目类别:面上项目
基于Phase-type分布的多状态系统可靠性模型研究
- 批准号:71501183
- 批准年份:2015
- 资助金额:17.4 万元
- 项目类别:青年科学基金项目
纳米(I-Phase+α-Mg)准共晶的临界半固态形成条件及生长机制
- 批准号:51201142
- 批准年份:2012
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
连续Phase-Type分布数据拟合方法及其应用研究
- 批准号:11101428
- 批准年份:2011
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
D-Phase准晶体的电子行为各向异性的研究
- 批准号:19374069
- 批准年份:1993
- 资助金额:6.4 万元
- 项目类别:面上项目
相似海外基金
SBIR Phase I: Improving indoor agriculture grow light efficiency with adaptive light shaping
SBIR 第一阶段:通过自适应光整形提高室内农业种植光效率
- 批准号:
2304339 - 财政年份:2023
- 资助金额:
$ 25.6万 - 项目类别:
Standard Grant
SBIR Phase II: Improving fleet operational metrics through service optimization with automated learning of vehicle energy performance models for zero-emission public transport
SBIR 第二阶段:通过服务优化和自动学习零排放公共交通的车辆能源性能模型来改善车队运营指标
- 批准号:
2220811 - 财政年份:2023
- 资助金额:
$ 25.6万 - 项目类别:
Cooperative Agreement
SBIR Phase II: Improving farmer safety and grain storage efficiencies via an autonomous grain management and extraction robot
SBIR 第二阶段:通过自主粮食管理和提取机器人提高农民安全和粮食储存效率
- 批准号:
2321441 - 财政年份:2023
- 资助金额:
$ 25.6万 - 项目类别:
Cooperative Agreement
SBIR Phase I: Improving farmer safety and grain storage efficiencies via a remote-controlled grain management and extraction robot
SBIR 第一阶段:通过远程控制粮食管理和提取机器人提高农民安全和粮食储存效率
- 批准号:
2111555 - 财政年份:2022
- 资助金额:
$ 25.6万 - 项目类别:
Standard Grant
SBIR Phase I: Improving Anion Exchange Membrane Water Electrolyzers via Novel Electrode Geometry
SBIR 第一阶段:通过新型电极几何结构改进阴离子交换膜水电解槽
- 批准号:
2223148 - 财政年份:2022
- 资助金额:
$ 25.6万 - 项目类别:
Standard Grant
SBIR Phase I: Microbiome for improving salt stress tolerance in crops
SBIR 第一阶段:提高作物耐盐胁迫能力的微生物组
- 批准号:
2035899 - 财政年份:2021
- 资助金额:
$ 25.6万 - 项目类别:
Standard Grant
SBIR Phase I: Improving Fertility Patient-Provider Communication with a Personalized Natural Language Processing Platform
SBIR 第一阶段:通过个性化自然语言处理平台改善生育患者与提供者的沟通
- 批准号:
2124872 - 财政年份:2021
- 资助金额:
$ 25.6万 - 项目类别:
Standard Grant
SBIR Phase II: Development of a Multimodal Interface for improving independence of Blind and Visually-Impaired people
SBIR 第二阶段:开发多模式界面以提高盲人和视障人士的独立性
- 批准号:
2025772 - 财政年份:2020
- 资助金额:
$ 25.6万 - 项目类别:
Cooperative Agreement
SBIR Phase I: Development of Safety Accessory for Improving Performance and Minimizing Complications of Manual Ventilation (COVID-19)
SBIR 第一阶段:开发安全附件以提高手动通气性能并最大程度地减少并发症(COVID-19)
- 批准号:
2025203 - 财政年份:2020
- 资助金额:
$ 25.6万 - 项目类别:
Standard Grant
SBIR Phase I: Composite Coatings for Improving Energy Efficiency of Building Envelope Systems
SBIR 第一阶段:用于提高建筑围护系统能源效率的复合涂料
- 批准号:
2015128 - 财政年份:2020
- 资助金额:
$ 25.6万 - 项目类别:
Standard Grant