A Two-Step Approach to Overcoming Data Imbalance in the Development of an Electrocardiography Data Quality Assessment Algorithm: A Real-World Data Challenge

A Two-Step Approach to Overcoming Data Imbalance in the Development of an Electrocardiography Data Quality Assessment Algorithm: A Real-World Data Challenge

Continuously acquired biosignals from patient monitors contain significant amounts of unusable data. During the development of a decision support system based on continuously acquired biosignals, we developed machine and deep learning algorithms to automatically classify the quality of ECG data. A t...

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Bibliographic Details
Main Authors: Hyun Joo Kim, S. Jayakumar Venkat, Hyoung Woo Chang, Yang Hyun Cho, Jee Yang Lee, Kyunghee Koo
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Biomimetics
Subjects:
electrocardiography
signal quality
machine learning
random forest
Online Access:https://www.mdpi.com/2313-7673/8/1/119

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