2012
DOI: 10.1007/s11517-012-0915-7
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High-resolution esophageal long-term ECG allows detailed atrial wave morphology analysis in case of atrial ectopic beats

Abstract: Detection of arrhythmic atrial beats in surface ECGs can be challenging when they are masked by the R or T wave, or do not affect the RR-interval. Here, we present a solution using a high-resolution esophageal long-term ECG that offers a detailed view on the atrial electrical activity. The recorded ECG shows atrial ectopic beats with long coupling intervals, which can only be successfully classified using additional morphology criteria. Esophageal high-resolution ECGs provide this information, whereas surface … Show more

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Cited by 13 publications
(10 citation statements)
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“…Hence, we restrict the BWT evaluation to binary-weighted ADCs such as the SAR ADC that offers an attractive solution in low power applications where moderate resolution and speed are required [32], [34]. For SAR ADCs, the INL has two major components [35]: the non-linearity caused by the analog preprocessing parts could be modeled with a th-order polynomial function of the code bins (12) Despite this low frequency component of the INL, the high frequency component is dominated by the binary weighted capacitor mismatches of the DAC in the feedback loop. The DAC error function is a linear combination of the distinct reference inaccuracies denoted as having as weighting coefficients the values of the single bits or 1.…”
Section: B A/d and D/a Convertermentioning
confidence: 99%
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“…Hence, we restrict the BWT evaluation to binary-weighted ADCs such as the SAR ADC that offers an attractive solution in low power applications where moderate resolution and speed are required [32], [34]. For SAR ADCs, the INL has two major components [35]: the non-linearity caused by the analog preprocessing parts could be modeled with a th-order polynomial function of the code bins (12) Despite this low frequency component of the INL, the high frequency component is dominated by the binary weighted capacitor mismatches of the DAC in the feedback loop. The DAC error function is a linear combination of the distinct reference inaccuracies denoted as having as weighting coefficients the values of the single bits or 1.…”
Section: B A/d and D/a Convertermentioning
confidence: 99%
“…The resulting was superimposed with a fourth-order polynomial (according to (12)) in such a way that the maximum of was kept below , the maximal INL error. The function alternately with the linear errors and formed the non-ideal transition points of the ADC and DAC, as well.…”
Section: Simulation Setupmentioning
confidence: 99%
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“…Directed esophageal electrodes may enable plane-selective stimulation of the phrenic nerve. Esophageal electrodes also profit from a self-cleaning, stable electrochemical environment, allowing for long-term instrumentation [ 22 ] with low infection potential [ 23 , 24 ]. A simple insertion criterion [ 25 ] may be adopted from long-term transesophageal ECG recording to omit X-ray-based electrode placement in the future.…”
Section: Introductionmentioning
confidence: 99%
“…On the forefront of the field are electrocardiographic imaging (ECGI) systems, which combine multi-electrode measurements from up to 252 body surface electrodes with patient-specific anatomical information from computed tomography (CT) imaging to reconstruct epicardial depolarization sequences (Rudy, 2013;Shah, Hocini, Xhaet, et al, 2013). Alternative approaches include measurements of the heart magnetic field (Ha, Kim, Lim, Yu, & Kwon, 2015;Kim, Kim, Lee, & Ahn, 2007;Sorbo et al, 2018), the exploitation of vectorcardiograms (Castells et al, 2011;Hasan, Abbott, & Baumert, 2012;Man, Maan, Schalij, & Swenne, 2015), or the acquisition of esophageal electrocardiograms (eECGs) (Haeberlin, Niederhauser, et al, 2013;Niederhauser et al, 2012). Esophageal ECGs have interesting properties, the most notable of which is an excellent atrial signal quality.…”
Section: Introductionmentioning
confidence: 99%