MOESM1 of A new approach for analysis of heart rate variability and QT variability in long-term ECG recording

Additional file 1: Figure S1. The ConceFT results of the second case. Top: the time-varying power spectrum (tvPS) of different time series related to the inverse of the RRI; bottom: the tvPS of different time series related to the QTc. The tvPS of the RRI shows an oscillatory pattern. For Rhour,0.99, we found a 2 Hz oscillation around day 4 to day 9, which comes from the regular spikes indicated by the red arrows. Note that the curve around 4 Hz is the multiple of the 2 Hz oscillation due to the spiky shape of the oscillation. For Rhour,0.5 and Rhour,0.01, we could visualize a dominant line at 1 Hz after day 7, which is indicated by the blue arrow. Note that the oscillation could also be visualized in Rhour,0.5 and Rhour,0.01. The different behaviour of Rhour,0.99, Rhour,0.5 and Rhour,0.01 comes from the fact that they capture different physiological information. The QTc time series has a more complicated structure. Actually, it is not easy to recognize any line/curve that lasts long enough, except the 1 Hz oscillation from day 7 to day 10 in Qhour,0.5 indicated by the green arrow. Figure S2. The spectrogram results of the second case for a comparison. Figure S3. The ConceFT results of the third case. Top: the time-varying power spectrum (tvPS) of different time series related to the inverse of the RRI bottom: the tvPS of different time series related to the QTc. The tvPS of the RRI shows an oscillatory pattern. For Rhour,0.99, we found a 1 Hz oscillation from day 2 to day 8, which reflects the oscillatory pattern in the signal indicated by the red arrows. The line around 1 Hz gets stronger in Rhour,0.5 and Rhour,0.01, which is indicated by the blue and green arrows. The QTc time series has an oscillatory pattern that could be confirmed by the line around 1 Hz. However, the 1 Hz oscillation is not very stable in Qhour,0.99 and Qhour,0.5, since the line around 1 Hz is fluctuating. Compared with Qhour,0.99 and Qhour,0.5, Qhour,0.01 has a more stable 1 Hz oscillation, but only before day 13. Figure S4.The spectrogram results of the third case for a comparison. Figure S5. The ConceFT results of the fourth case. Top: the time-varying power spectrum (tvPS) of different time series related to the inverse of the RRI bottom: the tvPS of different time series related to the QTc. The tvPS of the RRI shows an oscillatory pattern. For Rhour,0.99, we found a 2 Hz oscillation around day 5 to day 8 indicated by the red arrow, which come from the regular spikes indicated by the red dash arrow. For Rhour,0.01, we could visualize a dominant line at 1 Hz before day 9 that fluctuates up to 1.5 Hz from day 9 to day 12. The curve indicated by the green arrow. The QTc time series has a more complicated structure and no line/curve could be recognized from the tvPS. Figure S6. The spectrogram results of the fourth case for a comparison

Summary of alcohol consumption patterns among former drinkers (N = 2,886) stratified by the development of incident atrial fibrillation.

<p>Values are reported as medians for numeric responses. Y error bars denote interquartile ranges.</p

Hazard ratios for incident atrial fibrillation according to drinker status with never drinkers as the reference group.

<p>Hazard ratios are shown unadjusted (white square) and adjusted (black square) for study site, age, sex, race, body mass index, smoking status, cigarette years, hypertension, diabetes mellitus, coronary artery disease, and heart failure. Y error bars denote 95% confidence intervals.</p

Kaplan-Meier curves for incident atrial fibrillation (AF) in Atherosclerosis Risk in Communities (ARIC) study participants by baseline drinking status.

<p>Differences in proportions with and without AF are compared using the log-rank test.</p

Baseline characteristics in the Atherosclerosis Risk in Communities (ARIC) study by drinking status.

<p>Baseline characteristics in the Atherosclerosis Risk in Communities (ARIC) study by drinking status.</p

Risk of incident atrial fibrillation according to past alcohol consumption among former drinkers (N = 2,886).

<p>Risk of incident atrial fibrillation according to past alcohol consumption among former drinkers (N = 2,886).</p

Additional file 3: of Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6

Video S1. (Quicktime) Video to illustrate the DORV phenotype finding in an Adamts6 mutant heart. (MOV 1983 kb

Additional file 2: of Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6

Figure S1. Manhattan plot for European and African-American ancestry single variant analysis. Figure S2. Quantile-quantile plot for European and African-American ancestry single variant analysis. Figure S3. Manhattan plot for EA single variant analysis. Figure S4. QQ plot for EA single variant analysis. Figure S5. Manhattan plot for AA single variant analysis. Figure S6. Quantile-quantile plot for AA single variant analysis. Figure S7. Miami plot European and African-American ancestry sex-stratified single variant analysis. Figure S8. Quantile-quantile plots for European and African-American ancestry sex-stratified single variant analyses. Figure S9. Normal morphology of adult Adamts6 heterozygous hearts. (DOCX 4290 kb