Paced Ecg Analysis In Mobile Cardiac Monitor

2016 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 43(2016)

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Abstract
The main goal of this work was development of ECG processing algorithm for the real-time detection and displaying of implanted pacemaker artifacts, if they are present in the signal. In case of traditionally used characteristics of ECG acquisition circuits and analog-to-digital conversion pacemaker artifacts are often scarcely distinguished. Wide frequency band of ECG amplifier (0.2-10000 Hz) and high ADC sampling rate (20000 Hz) were used to resolve this problem. All pacemaker spikes detection procedures were realized fully digitally. The developed algorithm testing with the use of the real ECG recordings set showed the following results of pacemaker spikes detection: sensitivity 86.6 % and positive predictivity 99.6 %. The proposed algorithm was included in the ECG processing software of mobile cardiac monitor CardioQVARK based on iPhone series 5, 5S and 6.
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Key words
paced ECG analysis,mobile cardiac monitor,ECG processing algorithm,ECG acquisition circuits,analog-to-digital conversion pacemaker artifacts,wide frequency band,ECG amplifier,ADC sampling rate,pacemaker spikes detection procedures,ECG processing software,iPhone series
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