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. 2008 Mar-Apr;15(2):227–234. doi: 10.1197/jamia.M2493

Table 5.

Table 5 Internal Validity of Artifact Filters Developed Using Joint Standards

Variable Filtering Method Majority Vote
Consensus
Sensitivity PPV Sensitivity PPV
ABPm Median filtering 0.44 (0.29–0.59) 0.91 (0.71–0.99) 0.67 (0.47–0.83) 0.91 (0.71–0.99)
ArtiDetect 0.52 (0.37–0.67) 0.86 (0.67–0.96) 0.77 (0.58–0.90) 0.64 (0.46–0.79)
Tree induction 0.67 (0.52–0.81) 0.84 (0.72–0.92) 0.60 (0.41–0.77) 0.69 (0.48–0.86)
CVP Median filtering 0.85 (0.75–0.93) 0.74 (0.63–0.84) 0.87 (0.77–0.94) 0.71 (0.60–0.80)
ArtiDetect 0.88 (0.78–0.95) 0.87 (0.77–0.94) 0.84 (0.74–0.92) 0.97 (0.89–1.00)
Tree induction 0.77 (0.65–0.86) 0.83 (0.71–0.91) 0.73 (0.52–0.81) 0.84 (0.68–0.94)
HR Median filtering 0.89 (0.70–0.98) 0.79 (0.60–0.92) 0.54 (0.39–0.69) 0.86 (0.80–1.00)
ArtiDetect 0.27 (0.12–0.48) 1.00 (0.59–1.00) 0.33 (0.20–0.48) 0.63 (0.41–0.81)
Tree induction 0.65 (0.44–0.83) 0.74 (0.52–0.90) 0.57 (0.41–0.71) 0.65 (0.50–0.78)

The performance is quantified in terms of the 10-fold cross-validated sensitivity and positive predictive value (PPV) in the set of time series (95% confidence interval).