Feasibility testing of a novel AI-enabled, cloud-based ECG diagnostic solution to enable fast and affordable diagnosis in long-term continuous ambulatory ECG monitoring

对新型人工智能、基于云的心电图诊断解决方案进行可行性测试,以在长期连续动态心电图监测中实现快速且经济实惠的诊断

基本信息

  • 批准号:
    10545691
  • 负责人:
  • 金额:
    $ 25.96万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-12 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

PROJECT SUMMARY. The proposed observational study is to evaluate the feasibility of a novel ECG monitoring system leveraging concurrent AI and cloud technologies in long-term continuous monitoring (LTCM) in the clinical environment. It does not intend to use any data or information from the investigational solution to interfere, intervene or affect any clinical decisions made for the participants. Among nearly 2M per year syncope or TIA/stroke patients, 12-15% are cardiac-arrhythmia associated, which usually carries higher risk for long-term disability and even mortality than other-etiologies patients. Proper risk stratification and early initiation of appropriate preventative treatment can result in significant reduction of the cardiac related diseases and their associated mortality. Although LTCM has been proven to be able to detect arrhythmia with high diagnostic yield, the current standard of care has major market pains: 1) days-to-weeks of delay to deliver final report for offline extended Holter; 2) low accuracy in stream arrhythmia detection for online Mobile Cardiac Telemetry; and 3) physicians do not have access to patients’ ECG data. ZBeats’ solution is aiming to improve today’s standard of care by addressing technology accessibility and affordability. ZBPro™, ZBeats’ alpha prototype was validated against our proprietary dataset as well as public datasets required in ANSI/AAMI EC57, demonstrating algorithms, data transmission and visualization work well as expected. In this Phase I study, the feasibility will be tested in the clinical environment by completing the following specific aims (SA): SA1: setup data collection systems and provide training to clinical personnel prior to recruitment. SA2: Conduct patients’ acceptability evaluation by enrolling 60-75 patients to wear the device for up to 7 days. SA3: Evaluate the arrhythmia-capturing capability by conducting physician’s satisfaction questionnaires after reviewing the reports generated from the study system. SA4: Conduct data analysis and start designing the protocol for Phase II study. This proposal will undergo collaboration among ZBeats, Stony Brook University Hospital and Lankenau Medical Center. The long- term goal is to dramatically improve the current standard of care in LTCM by reducing the time to detection of life-threatening arrhythmia from weeks to minutes for cardiac-related high-risk patients, increase the streaming detection accuracy and reducing the total costs by leveraging AI algorithms, cloud infrastructure and a low-cost flexible-material patch. This cost reduction will lead to more general medical use cases, such as telehealth & Remote Patient Monitoring (RPM) to benefit broader population.
项目总结。该观察性研究旨在评估一种新型心电监测的可行性

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 }}

Bin Fang其他文献

Bin Fang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 }}

{{ truncateString('Bin Fang', 18)}}的其他基金

Feasibility testing of a novel AI-enabled, cloud-based ECG diagnostic solution to enable fast and affordable diagnosis in long-term continuous ambulatory ECG monitoring
对新型人工智能、基于云的心电图诊断解决方案进行可行性测试,以在长期连续动态心电图监测中实现快速且经济实惠的诊断
  • 批准号:
    10742360
  • 财政年份:
    2022
  • 资助金额:
    $ 25.96万
  • 项目类别:

相似海外基金

How novices write code: discovering best practices and how they can be adopted
新手如何编写代码:发现最佳实践以及如何采用它们
  • 批准号:
    2315783
  • 财政年份:
    2023
  • 资助金额:
    $ 25.96万
  • 项目类别:
    Standard Grant
One or Several Mothers: The Adopted Child as Critical and Clinical Subject
一位或多位母亲:收养的孩子作为关键和临床对象
  • 批准号:
    2719534
  • 财政年份:
    2022
  • 资助金额:
    $ 25.96万
  • 项目类别:
    Studentship
A comparative study of disabled children and their adopted maternal figures in French and English Romantic Literature
英法浪漫主义文学中残疾儿童及其收养母亲形象的比较研究
  • 批准号:
    2633211
  • 财政年份:
    2020
  • 资助金额:
    $ 25.96万
  • 项目类别:
    Studentship
A material investigation of the ceramic shards excavated from the Omuro Ninsei kiln site: Production techniques adopted by Nonomura Ninsei.
对大室仁清窑遗址出土的陶瓷碎片进行材质调查:野野村仁清采用的生产技术。
  • 批准号:
    20K01113
  • 财政年份:
    2020
  • 资助金额:
    $ 25.96万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
A comparative study of disabled children and their adopted maternal figures in French and English Romantic Literature
英法浪漫主义文学中残疾儿童及其收养母亲形象的比较研究
  • 批准号:
    2436895
  • 财政年份:
    2020
  • 资助金额:
    $ 25.96万
  • 项目类别:
    Studentship
A comparative study of disabled children and their adopted maternal figures in French and English Romantic Literature
英法浪漫主义文学中残疾儿童及其收养母亲形象的比较研究
  • 批准号:
    2633207
  • 财政年份:
    2020
  • 资助金额:
    $ 25.96万
  • 项目类别:
    Studentship
The limits of development: State structural policy, comparing systems adopted in two European mountain regions (1945-1989)
发展的限制:国家结构政策,比较欧洲两个山区采用的制度(1945-1989)
  • 批准号:
    426559561
  • 财政年份:
    2019
  • 资助金额:
    $ 25.96万
  • 项目类别:
    Research Grants
Securing a Sense of Safety for Adopted Children in Middle Childhood
确保被收养儿童的中期安全感
  • 批准号:
    2236701
  • 财政年份:
    2019
  • 资助金额:
    $ 25.96万
  • 项目类别:
    Studentship
A Study on Mutual Funds Adopted for Individual Defined Contribution Pension Plans
个人设定缴存养老金计划采用共同基金的研究
  • 批准号:
    19K01745
  • 财政年份:
    2019
  • 资助金额:
    $ 25.96万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Structural and functional analyses of a bacterial protein translocation domain that has adopted diverse pathogenic effector functions within host cells
对宿主细胞内采用多种致病效应功能的细菌蛋白易位结构域进行结构和功能分析
  • 批准号:
    415543446
  • 财政年份:
    2019
  • 资助金额:
    $ 25.96万
  • 项目类别:
    Research Fellowships
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了