Metadata extracted from the Scopus database, used to study the countries, authors, organizations and keywords with the greatest impact on the development of AI-enabled ECG devices.

This dataset represents an essential resource for investigating the impact of various countries, authors, organizations and keywords on the development of AI-enabled ECG devices. It includes comprehensive bibliometric data, including detailed authorship information such as names, affiliations and geographical locations of researchers, which helps to identify key contributors and their collaborative networks. In addition, the dataset includes organizational details, highlighting the types and names of institutions involved in this research, providing an overview of the universities, research institutions and companies driving this field forward. Geographical data on the countries of the corresponding authors or institutions help to understand the global distribution and regional impact of research efforts. In addition, the dataset encompasses keywords commonly used in publications, making it possible to analyze hot topics and changes in the direction of research in the field of AI-enabled ECG technology. This metadata is invaluable for performing bibliometric analysis to uncover trends, collaboration patterns and key players, offering a comprehensive overview of the evolution and current status of AI integration in electrocardiography.