Abstract
Heart rate variability (HRV) is considered important for understanding the activity of autonomic nervous system. In that sense, it is very important to detect R waves in ECG and measure the intervals between consecutive R waves. A method for detecting R wave by thresholding is generally useful but the static thresholding method often fails to detect the R waves when an ECG has very noisy waveform like fetal ECG. In this study, we have proposed a method for pulse detection using nonlinear transform and dynamic thresholding and evaluated our proposed method by computer simulation. In the results, the method with Teager-Kaiser energy operator detects all pulses from a noisy simulation signal from which the method with square operator fails to detect some pulses.
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 callMore From: Transactions of Japanese Society for Medical and Biological Engineering
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.
