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. 2015 May 7;3(2):e21. doi: 10.2196/medinform.4397

Table 4.

Electrocardiogram classification performance for the dataset from the Telehealth Center of the National Taiwan University Hospital.

Diagnosis Characteristics of dataset and algorithm


Type of beats, n Algorithm performance measure, %


True positive False negative False positive True negative Accuracy Sensitivity Specificity
Sinus 47,036 85,575 1824 52,804 53.32 35.47 96.66
Disease a







All 47,339 720 94,842 44,338 48.96 98.50 31.86

AF 17,935 1413 20,357 147,534 88.37 92.70 87.88

AFL 4391 2667 12,530 167,651 91.88 62.21 93.05

Pacemaker rhythm 4105 502 117,876 64,756 36.78 89.10 35.46

APC 8813 1134 48,838 128,454 73.31 88.60 72.45

VPC 317 308 4595 182,019 97.38 50.72 97.54

TWI 2012 745 22,623 161,859 87.52 72.98 87.74

ST-segment down 471 593 10,007 176,168 94.34 44.27 94.63

AVB1 3731 2232 15,771 165,505 90.39 62.57 91.30

JEB 30 194 4698 182,317 97.39 13.39 97.49

QT>450 1 4 10,630 176,604 94.32 20.00 94.32
Noise 6984 1626 33,634 144,995 81.17 81.12 81.17

aAtrial fibrillation (AF), atrial flutter (AFL), atrial premature contraction (APC), ventricular premature contraction (VPC), T-wave inversion (TWI), first-degree atrioventricular block (AVB1), junctional escape beat (JEB), QT-segment length is more than 450 milliseconds (QT>450).