Table 15.

Typical HRV measures after applying cubic spline interpolation and the proposed algorithms for various gap sizes, compared to the HRV measures in the original signal for Participant 2 (PhysioNet database).

Signal	Method	RMSSD	SDNN	SDSD	Total Power	LF	HF	SD1	SD2	Mean Error
Original		27.58	89.45	27.61	1751.53	374.11	253.02	19.52	124.98
Gap w = 3	Cubic spline	27.48	89.65	27.51	1769.10	386.44	251.03	19.45	125.29	0.8%
	Algorithm 2	28.01	89.19	28.04	1736.91	357.34	265.51	19.82	124.56	1.9%
	(StDev.)	(0.06)	(0.01)	(0.06)	(0.90)	(0.58)	(1.37)	(0.04)	(0.02)
Gap w = 5	Cubic spline	27.37	89.90	27.49	1786.10	395.81	249.53	19.44	125.64	1.4%
	Algorithm 2	27.70	89.23	27.73	1739.86	363.01	260.16	19.61	124.66	1.0%
	(StDev.)	(0.06)	(0.03)	(0.06)	(0.28)	(1.18)	(2.25)	(0.04)	(0.05)
Gap w = 7	Cubic spline	27.44	90.02	27.46	1789.68	395.64	248.16	19.42	125.82	1.6%
	Algorithm 2	27.63	89.37	27.66	1741.50	364.56	255.46	19.56	124.86	0.6%
	(StDev.)	(0.04)	(0.02)	(0.04)	(3.08)	(3.01)	(1.46)	(0.03)	(0.04)