Effect of sample rate on saECG spectrum
Signal-averaged ECG (saECG) has been used to show delayed ventricular activation and myocardial infarction, but alignment jitter acts as a low-pass filter. Jitter arises due to sampling of the signal, and due to imperfect alignment algorithms. In this study we investigated the influence of the sampl...
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| creator | Melgaard, Jacob Graff, Claus Sorensen, Peter L. Sorensen, Kasper Schmidt, Samuel E. Struijk, Johannes J. |
| description | Signal-averaged ECG (saECG) has been used to show delayed ventricular activation and myocardial infarction, but alignment jitter acts as a low-pass filter. Jitter arises due to sampling of the signal, and due to imperfect alignment algorithms. In this study we investigated the influence of the sample rate on the saECG spectrum, i.e. if the jitter can be minimized by increasing the sample rate. High speed high resolution ECGs were recorded from 6 volunteers in a shielded room. The spectrum of both raw beats and the saECG were computed and compared, and we found that sample rate does indeed influence the intrinsic low-pass filtering of the signal caused by jitter. |
| doi_str_mv | 10.22489/cinc.2016.306-499 |
| format | Conference Proceeding |
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Jitter arises due to sampling of the signal, and due to imperfect alignment algorithms. In this study we investigated the influence of the sample rate on the saECG spectrum, i.e. if the jitter can be minimized by increasing the sample rate. High speed high resolution ECGs were recorded from 6 volunteers in a shielded room. 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| fulltext | fulltext |
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| ispartof | 2016 Computing in Cardiology Conference (CinC), 2016, p.1061-1063 |
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| subjects | Attenuation Cutoff frequency Electrocardiography Jitter Lead Low-pass filters |
| title | Effect of sample rate on saECG spectrum |
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