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
- 来源:
- 关键词:
项目摘要
No summary - Aucun sommaire
无摘要- Aucun sommaire
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)
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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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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 - 项目类别:
Vanier Canada Graduate Scholarship Tri-Council - Doctoral 3 years
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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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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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