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CONTRASTIVE HEARTBEATS: CONTRASTIVE LEARNING FOR SELF-SUPERVISED ECG REPRESENTATION AND PHENOTYPING
Crystal T. Wei
*
, Ming En Hsieh
*
,
Chien Liang Liu
,
Vincent S. Tseng
*
*
此作品的通信作者
工業工程與管理學系
數據科學與工程研究所
新世代功能性物質研究中心
研究成果
:
Conference contribution
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同行評審
23
引文 斯高帕斯(Scopus)
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Keyphrases
Downstream Task
100%
Contrastive Learning
100%
High Performance
66%
High Cost
33%
AI-based Methods
33%
Benchmark Dataset
33%
Sampling Methods
33%
Supervised Learning
33%
Performance Degradation
33%
Screening Tool
33%
Semantic Representation
33%
Electrocardiogram Signal
33%
Representation Results
33%
Learning Framework
33%
Disease Screening
33%
Deep Learning Model
33%
Multi-task
33%
Efficient Training
33%
Cardiology
33%
Self-supervised Learning Model
33%
Self-supervised Representation Learning
33%
Cardiovascular-related Diseases
33%
Heartbeat Representation
33%
Computer Science
Contrastive Learning
100%
Supervised Learning
50%
Learning Framework
50%
Performance Degradation
50%
Semantic Representation
50%
Deep Learning Model
50%
Multiple Task
50%
Self-Supervised Learning
50%
Self-Supervised Representation Learning
50%
Artificial Intelligence
50%