Parameter extraction of ECG signals in real-time
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Updated: Sep 28, 2026

Extraction of the EPP Component from the Surface EMG
Published on: December 16, 2009
U Kunzmann1, G von Wagner, J Schöchlin
1FZI Forschungszentrum Informatik Karlsruhe, Germany.
Abstract:
In order for a mobile ECG recorder to be able to classify a heart rhythm online, the significant parameters must be extracted. The relevant parameters are the beginning, peak and end of the QRS-complex, the P- and T-waves, the ST-segment and other significant intervals, such as the RR-interval. The aim of the development was, firstly, stable, real-time-capable QRS detection, which finally achieved values for sensitivity of 98.9% and a positive predictivity of 99.9% on standard ECG databases. Also, a filter-based detection of P- and T-waves was implemented, which can also be performed in real-time on a microcontroller platform.
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