PrepAnnECG: A user friendly MATLAB ECG preprocessing and annotation GUI for health professionals
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Date
2023
Authors
Nalan Ozkurt
Journal Title
Journal ISSN
Volume Title
Publisher
ELSEVIER
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
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Publicly Funded
No
Abstract
Electrocardiography (ECG) is an indispensable tool for diagnosing heart diseases. However long ECG records should be annotated by clinicians for training the Artificial Intelligence (AI) algorithms. Furthermore raw ECG should be processed for better learning. This paper introduces an open-source user-friendly Matlab preprocessing and annotation interface. preprocessECG offers a GUI for cropping manual artifact removal filtering and segmentation. Also custom preprocessing software can be invoked from the interface. PrepAnnECG is an easy-to-use ECG annotation GUI that is suitable for long records. The outputs of both GUI are comma-separated value (csv) files that any machine learning algorithm can read.
Description
ORCID
Keywords
ECG annotation, Preprocessing, Data preparation for machine learning, ECG Annotation, Preprocessing, Data Preparation for Machine Learning, ECG annotation, QA76.75-76.765, Computer software, Data preparation for machine learning, Preprocessing
Fields of Science
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
3
Source
SoftwareX
Volume
24
Issue
Start Page
101589
End Page
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Citations
CrossRef : 4
Scopus : 4
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Mendeley Readers : 9
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