课题基金 / 基金详情

Signal Processing Methods in Detecting Myasthenia Gravis Using Electrooculography Signals

Signal Processing Methods in Detecting Myasthenia Gravis Using Electrooculography Signals
使用眼电图信号检测重症肌无力的信号处理方法
批准号：
410004
负责人：
Umapathy Karthikeyan
金额：
$34.55万
依托单位：
Toronto Metropolitan University
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2019
资助国家：
加拿大
项目状态：
已结题
起止时间：
2019-09-01 至 2022-09-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=410004&lang=en
关键词：
Electrooculography Signals Eye Movements Feature Extraction Myasthenia Gravis Pattern Classification Signal Processing Time-Frequency/ Time-Scale Techniques

项目摘要

项目成果

Umapathy Karthikeyan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
Myasthenia Gravis (MG) is a muscle weakness disorder that can become fatal if it affects the vital muscles needed for breathing and swallowing. Detecting MG in its early stage and segregating it from other forms of similar disorders has been a challenge i
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Studying Dynamic Electrical Conduction Pathways in Understanding Human Ventricular Fibrillation
  • 批准号：
    211499
  • 项目类别：
    Operating Grants
  • 资助金额：
    $15.96万
  • 财政年份：
    2010
  • 负责人：
    Umapathy Karthikeyan
  • 依托单位：
    Toronto Metropolitan University
海外基金