Abstract

In this paper, complexity measure based on Jensen-Shannon Divergence was used to compute complexity of the ECG signals, which include normal sinus rhythm, atrial premature contraction (APC) and sinus bradycardia (SBR) signals from the MIT-BIH standard database. The results show that three kinds of signals have different complexity measures. Normal sinus rhythm has the highest complexity, followed by sinus bradycardia (SBR) signals, and atrial premature contraction (APC) has the lowest complexity. It has good reference for clinical detecting and diagnosing with atrial premature contraction (APC) and sinus bradycardia (SBR) signals.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.