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A real-time system for high-resolution ECG signal averaging using the analog SFP alignment technique

Escalona, OJ, Diaz, MA and Parra, JE (1998) A real-time system for high-resolution ECG signal averaging using the analog SFP alignment technique. In: 2nd IEEE INTERNATIONAL CARACAS CONFERENCE ON DEVICES, CIRCUITS AND SYSTEMS (ICCDCS 98), Isla Margarita, Venezuela. Institute of Electrical and Electronics Engineers (IEEE). Vol 2 (1) 3 pp. [Conference contribution]

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URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=705853

DOI: 10.1109/ICCDCS.1998.705853

Abstract

We have developed a real-time, signal averaging system for high-resolution EGG, which implements an analog version of the Single Fiducial Point (SFP) alignment technique. It consist essentially in a second order, highpass (3Hz), Butterworth filtering operation applied to an ECG signal presenting predominantly monopolar QRS complexes, then, this operation is complemented by zero crossing detection after a signal amplitude threshold level crossing detection. The ECG signal is also lowpass filtered at 30 Hz to reduce the possibility of ambiguities at the zero crossing point (the SFP point), in the presence of 60 Hz mains interference, or other soul ces of high frequency noise. The output pulse from the analog SFP detector was used as the trigger signal channel in a digital averaging oscilloscope, with a moving average function. The performance of this ECG averaging system was evaluated in the spectral range between 100 and 300 Hz, which is the highest frequency bandwidth of interest in high-resolution electrocardiography. The system was capable of extracting cardiac electrical events, as short as 2 ms of duration, in the P-R interval. Hence, it can be appropriate for P-wave and His bundle potentials analysis.

Item Type:Conference contribution (Paper)
Keywords:Medical signal processing; real-time systems; Butterworth filtering operation; alignment technique; analog SFP alignment technique; cardiac electrical events; digital averaging oscilloscope; high-resolution ECG signal averaging; lowpass filtering; monopolar QRS complexes; moving average function; output pulse; real-time system; signal amplitude threshold level crossing; single fiducial point; trigger signal channel; zero crossing detection; Maximum coherence matching.
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
ID Code:6086
Deposited By: Professor Omar Escalona
Deposited On:08 Feb 2016 14:17
Last Modified:08 Feb 2016 14:17

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