课题基金 / 基金详情

Mobile ECG device, data collection and information processing (mECG solution)

Mobile ECG device, data collection and information processing (mECG solution)
移动心电图设备、数据采集和信息处理(mECG解决方案)
批准号:
503545-2016
负责人:
Jiang, Ning
金额:
$7.77万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

项目摘要

项目成果

Jiang, Ning的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Millions of Canadians will be connected to an electrocardiogram (ECG) machine during their lifetime. What's interesting is that whether found in a doctor's office, an ambulance, an emergency room or an outpatient setting, today's clinical grade ECG "resting" systems still share one common attribute - they are clumsy and bulky. Providing care "closer to home", and "care in the community" are the new mantra of health service delivery. The sad reality is that the design of one today's most useful diagnostic tools - the ECG - is ill equipped to support either care in the home or care in the community. Even commercially available PC-based solutions designed to reduce the heft of dedicated ECG systems still require bulky wiring harnesses, proprietary protocols, and careful power management. Equally problematic is that many systems still rely on lengthy paper printouts that, while easy for "reading", present barriers for digital data management.Given advances in microcontroller architectures and the pervasiveness of powerful mobile platforms, never has the time been better for a wholesale rethink of the ECG data gathering process. In partnership with a major Canadian diagnostic laboratory, this project will prototype and test a next generation clinical grade mobile ECG data collection device - one expressly designed for use "closer to home." Levering pervasive mobile technologies for signal acquisition analysis and transport, and micro-architectures for harness design, this next generation ECG will allow reliable data collection in settings that were either inaccessible or impractical using traditional technologies.The market for ECG devices is significant with some estimates suggesting a global market of over $5 billion. All analysts agree that with an aging population, the market will grow. Our industry partner is at the forefront of that growth, and confirms significant efficiency and effectiveness benefits will accrue from the use of an mECG device. Our industry partner commits to not only facilitating field development, but to also move the product into commercial use.The main outcomes of project are expected to improve patient satisfaction, increase quality of care, reduce turn-around times and cost to healthcare, and improve patient outcomes. The innovative mobile tion the ability to serve more patients who are not currently able to get appropriate diagnosis and treatments due to the fixes ECGs machines and hence fixed ECG services. This solution will provide the required mobility so the provisioning of services is moving to where the need is.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
In-home cardiac monitoring system for cardiac patients during a pandemic such as COVID-19
  • 批准号:
    551988-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2020
  • 负责人:
    Jiang, Ning
  • 依托单位:
Signal Processing of Electromyography with Bayesian Framework for Next Generation Motion Integration Human Machine Interface
  • 批准号:
    RGPIN-2016-04137
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2019
  • 负责人:
    Jiang, Ning
  • 依托单位:
Mobile ECG device, data collection and information processing (mECG solution)
  • 批准号:
    503545-2016
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $12.17万
  • 财政年份:
    2018
  • 负责人:
    Jiang, Ning
  • 依托单位:
Miniature ECG Acquisition and Processing for Stress assessment during Virtual Reality Applications
  • 批准号:
    531540-2018
  • 项目类别:
    Engage Grants Program
  • 资助金额:
    $1.82万
  • 财政年份:
    2018
  • 负责人:
    Jiang, Ning
  • 依托单位:
国内基金
海外基金
面向小样本数据场景的 ECG 身份识别关键技 术研究
  • 批准号:
    Q24F010062
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    张烨菲
  • 依托单位:
PPG与ECG信息融合新方法及其在房颤进程评估中的应用研究
  • 批准号:
    62371138
  • 项目类别:
    面上项目
  • 资助金额:
    52.00万元
  • 批准年份:
    2023
  • 负责人:
    杨翠微
  • 依托单位:
基于域适应和宽度学习的ECG心律失常智能识别研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2023
  • 负责人:
    司玉娟
  • 依托单位:
深度卷积神经网络的压缩与加速及可穿戴 ECG 自动识别研究
  • 批准号:
    2022JJ50073
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2022
  • 负责人:
    彭自然
  • 依托单位: