Cloud-ECG for real time ECG monitoring and analysis

Authors:
Henian Xia;Irfan Asif;Xiaopeng Zhao
Affiliations:
Department of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN 37996, United States;Department of Family Medicine, University of Tennessee, Knoxville, TN 37996, United States;Department of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN 37996, United States and National Institute for Mathematical and Biological Synthesis, Unive ...
Venue:
Computer Methods and Programs in Biomedicine
Year:
2013

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Abstract

Recent advances in mobile technology and cloud computing have inspired numerous designs of cloud-based health care services and devices. Within the cloud system, medical data can be collected and transmitted automatically to medical professionals from anywhere and feedback can be returned to patients through the network. In this article, we developed a cloud-based system for clients with mobile devices or web browsers. Specially, we aim to address the issues regarding the usefulness of the ECG data collected from patients themselves. Algorithms for ECG enhancement, ECG quality evaluation and ECG parameters extraction were implemented in the system. The system was demonstrated by a use case, in which ECG data was uploaded to the web server from a mobile phone at a certain frequency and analysis was performed in real time using the server. The system has been proven to be functional, accurate and efficient.