Knowledge graph analysis and visualization of artificial intelligence applied in electrocardiogram.

ABSTRACT: Background: Electrocardiogram (ECG) provides a straightforward and non-invasive approach for various applications, such as disease classification, biometric identification, emotion recognition, and so on. In recent years, artificial intelligence (AI) shows excellent performance and plays an increasingly important role in electrocardiogram research as well. Objective: This study mainly adopts the literature on the applications of artificial intelligence in electrocardiogram research to focus on the development process through bibliometric and visual knowledge graph methods. Methods: The 2,229 publications collected from the Web of Science Core Collection (WoSCC) database until 2021 are employed as the research objects, and a comprehensive metrology and visualization ana

SUBMITTER: Yang M 

PROVIDER: S-EPMC9947408 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature