Table 4.

Table 4 Internal and External Validity of Artifact Filters Developed Using Individual Standards

Variable	Filtering Method	Internal Validity		External Validity
		Sensitivity	PPV	Sensitivity	PPV
ABPm	Median filtering	0.48 (0.32–0.64)	0.81 (0.62–0.93)	0.44 (0.29–0.59)	0.74 (0.56–0.84)
	ArtiDetect	0.60 (0.45–0.74)	0.84 (0.64–0.91)	0.55 (0.42–0.67)	0.70 (0.49–0.79)
	Tree induction	0.59 (0.45–0.74)	0.65 (0.50–0.80)	0.55 (0.40–0.69)	0.59 (0.43–0.73)
CVP	Median filtering	0.79 (0.69–0.87)	0.80 (0.70–0.88)	0.78 (0.68–0.85)	0.78 (0.69–0.86)
	ArtiDetect	0.80 (0.70–0.88)	0.86 (0.77–0.93)	0.77 (0.68–0.84)	0.83 (0.74–0.89)
	Tree induction	0.68 (0.57–0.78)	0.79 (0.68–0.88)	0.63 (0.52–0.72)	0.71 (0.60–0.81)
HR	Median filtering	0.52 (0.35–0.69)	0.83 (0.61–0.94)	0.48 (0.31–0.63)	0.73 (0.55–0.85)
	ArtiDetect	0.40 (0.24–0.57)	0.65 (0.41–0.82)	0.40 (0.25–0.55)	0.63 (0.38–0.78)
	Tree induction	0.57 (0.37–0.71)	0.70 (0.49–0.86)	0.44 (0.27–0.60)	0.57 (0.38–0.73)

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).