. Author manuscript; available in PMC: 2019 Jun 30.

Published in final edited form as: IEEE J Biomed Health Inform. 2015 Mar 31;19(3):815–824. doi: 10.1109/JBHI.2015.2418195

TABLE IV.

Test characteristics of PVC and PAC detection and discrimination using statistical methods^* on a sample of 99 subjects’ data recorded using iPhone 4s (88 subjects with AF (pre-cardioversion) and NSR (post-cardioversion), 7 subjects with PAC and 4 subjects with PVC)

Algorithm	PVC			PAC
Algorithm	Sensitivity	Specificity	Accuracy	Sensitivity	Specificity	Accuracy
	1.0000	0.9540	0.9680	1.0000	0.9620	0.9750

Test Characteristics of PVC/PAC Detection Statistical Methods Established using the threshold values of RMSDD = 0.1093, Shannon Entropy = 0.4890, Poincare Plot = 0.2.