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. 2018 Jul 31;7(15):e009351. doi: 10.1161/JAHA.118.009351

Table 5.

Accuracy of the Markov Model Designed to Detect Pulse Irregularities Attributable to AF and of Literature Algorithms According to MIT‐BIH AF Data Set

Algorithm/Feature Accuracy % (CI) Sensitivity % (CI) Specificity % (CI) PPV % (CI) NPV % (CI)
Markov model
Average 94±12 (89–98) 84±21 (77–90) 98±5 (96–100) 90±21 (80–96) 92±14 (87–97)
Gross 94 86 99 98 91
NADev
Average 94±6 (92–96) 95±6 (93–98) 89±17 (82–95) 67±36 (52–80) 97±6 (95–99)
Gross 94 98 92 89 99
NADiff
Average 92±13 (86–97) 92±16 (85–97) 92±15 (87–97) 80±30 (69–93) 95±11 (91–99)
Gross 92 91 93 89 94
COSen
Average 91±9 (85–94) 89±10 (85–92) 88±16 (82–94) 66±35 (48–78) 91±16 (86–97)
Gross 91 91 90 86 94
Multiparametric
Average 95±8 (91–97) 96±7 (94–99) 91±15 (85–97) 73±31 (57–84) 98±4 (96–100)
Gross 95 98 93 90 98

Average, indicates accuracy described by mean ± SD of the value across patients; Gross, accuracy determined by aggregating results from each patient into one; AF indicates atrial fibrillation; CI, 95% confidence interval of the mean as obtained by bootstrapping and resampling of the data set (100 iterations); NPV, negative predictive value; PPV, positive predictive value. Average indicates accuracy described by meanSD of the value across patients. Any AF event <1 minute was removed from the analysis, and 1 record (5091) was discarded because AF was only present for <1 minute.