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Model-based Feature Engineering of Atrial Fibrillation
Hanie Moghaddasi
Signal Processing Systems
Research output
:
Thesis
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Dissertation (TU Delft)
78
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Dive into the research topics of 'Model-based Feature Engineering of Atrial Fibrillation'. Together they form a unique fingerprint.
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INIS
engineering
100%
electrocardiograms
100%
resolution
50%
spatial resolution
50%
data
50%
surfaces
25%
diseases
25%
evaluation
25%
capture
25%
accuracy
25%
detection
25%
p waves
25%
Agricultural and Biological Sciences
Engineering
100%
Heart
100%
Model
100%
Detection
33%
Accuracy
33%
Surface
33%
Research
33%
Medicine and Dentistry
Atrial Fibrillation
100%
Electrocardiogram
44%
Heart
33%
Lead
33%
Analysis
22%
Electrography
22%
QRS Complex
11%
Tachyarrhythmia
11%
Evaluation
11%
Disease
11%
Absence
11%
RR Interval
11%
P Wave
11%
Accuracy
11%
Motivation
11%
Biochemistry, Genetics and Molecular Biology
Atrial Fibrillation
100%
Electrocardiogram
44%
Tachycardia
11%
Surface Property
11%
Motivation
11%
Tachyarrhythmia
11%
P Wave
11%
Electric Activity
11%
Recording
11%
RR Interval
11%
Accuracy
11%
QRS Complex
11%
Pharmacology, Toxicology and Pharmaceutical Science
Atrial Fibrillation
100%
Lead
33%
Tachycardia
11%
Absence
11%
Disease
11%
Veterinary Science and Veterinary Medicine
Atrial Fibrillation
100%
QRS Complex
11%
Tachyarrhythmia
11%
Tachycardia
11%
Keyphrases
Single-lead Electrocardiogram
42%
Atrial Fibrillation Progression
14%
Cardiac Electrical Activity
14%
QRS Complex
14%
Tachyarrhythmia
14%