Independent Component Analysis for Maternal-Fetal Electrocardiography

母胎心电图的独立成分分析

基本信息

  • 批准号:
    427179-2012
  • 负责人:
  • 金额:
    $ 1.27万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Alexander Graham Bell Canada Graduate Scholarships - Master's
  • 财政年份:
    2012
  • 资助国家:
    加拿大
  • 起止时间:
    2012-01-01 至 2013-12-31
  • 项目状态:
    已结题

项目摘要

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无摘要- Aucun sommaire

项目成果

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专利数量(0)

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Marcynuk, Kathryn其他文献

Marcynuk, Kathryn的其他文献

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{{ truncateString('Marcynuk, Kathryn', 18)}}的其他基金

Statistical feature extraction for the increased acuuracy of maternal-fetal electrocardiography under non-gaussian noise conditions with independent component analysis
通过独立成分分析提取统计特征,提高非高斯噪声条件下母胎心电图的准确性
  • 批准号:
    468947-2014
  • 财政年份:
    2016
  • 资助金额:
    $ 1.27万
  • 项目类别:
    Vanier Canada Graduate Scholarship Tri-Council - Doctoral 3 years
Statistical feature extraction for the increased acuuracy of maternal-fetal electrocardiography under non-gaussian noise conditions with independent component analysis
通过独立成分分析提取统计特征,提高非高斯噪声条件下母胎心电图的准确性
  • 批准号:
    468947-2014
  • 财政年份:
    2015
  • 资助金额:
    $ 1.27万
  • 项目类别:
    Vanier Canada Graduate Scholarship Tri-Council - Doctoral 3 years
Statistical feature extraction for the increased acuuracy of maternal-fetal electrocardiography under non-gaussian noise conditions with independent component analysis
通过独立成分分析提取统计特征,提高非高斯噪声条件下母胎心电图的准确性
  • 批准号:
    468947-2014
  • 财政年份:
    2014
  • 资助金额:
    $ 1.27万
  • 项目类别:
    Vanier Canada Graduate Scholarship Tri-Council - Doctoral 3 years
Computational Intelligence-Based Telerehabilitation System
基于计算智能的远程康复系统
  • 批准号:
    416715-2011
  • 财政年份:
    2011
  • 资助金额:
    $ 1.27万
  • 项目类别:
    University Undergraduate Student Research Awards
Telerehabilitaion PORTAL/DOORS
远程康复门户/门
  • 批准号:
    400339-2010
  • 财政年份:
    2010
  • 资助金额:
    $ 1.27万
  • 项目类别:
    University Undergraduate Student Research Awards

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    Studentship
Statistical feature extraction for the increased acuuracy of maternal-fetal electrocardiography under non-gaussian noise conditions with independent component analysis
通过独立成分分析提取统计特征,提高非高斯噪声条件下母胎心电图的准确性
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通过独立成分分析建模和验证相关结构
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Statistical feature extraction for the increased acuuracy of maternal-fetal electrocardiography under non-gaussian noise conditions with independent component analysis
通过独立成分分析提取统计特征,提高非高斯噪声条件下母胎心电图的准确性
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    468947-2014
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Statistical feature extraction for the increased acuuracy of maternal-fetal electrocardiography under non-gaussian noise conditions with independent component analysis
通过独立成分分析提取统计特征,提高非高斯噪声条件下母胎心电图的准确性
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    $ 1.27万
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