PrepAnnECG: A user friendly MATLAB ECG preprocessing and annotation GUI for health professionals
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Date
2023
Authors
Nalan Ǒzkurt
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier B.V.
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
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. © 2023 Elsevier B.V. All rights reserved.
Description
Keywords
Data Preparation For Machine Learning, Ecg Annotation, Preprocessing, Electrocardiography, Graphical User Interfaces, Learning Algorithms, Matlab, Open Source Software, Artificial Intelligence Algorithms, Data Preparation, Data Preparation For Machine Learning, Electrocardiography Annotation, Health Professionals, Heart Disease, Indispensable Tools, Machine-learning, Preprocessing, User Friendly, Machine Learning, Electrocardiography, Graphical user interfaces, Learning algorithms, MATLAB, Open source software, Artificial intelligence algorithms, Data preparation, Data preparation for machine learning, Electrocardiography annotation, Health professionals, Heart disease, Indispensable tools, Machine-learning, Preprocessing, User friendly, Machine learning, ECG annotation, QA76.75-76.765, Computer software, Data preparation for machine learning, Preprocessing
Fields of Science
Citation
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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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