Table 13.

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 3 (NEEDED database).

Signal	Method	RMSSD	SDNN	SDSD	Total Power	LF	HF	SD1	SD2	Mean Error
Original		6.55	23.05	6.48	81.05	16.29	1.70	4.58	32.27
Gap w = 3	Cubic spline	6.55	23.03	6.48	80.67	16.40	1.87	4.58	32.25	1.4%
	Algorithm 2	6.55	23.06	6.48	81.21	16.26	1.66	4.58	32.28	0.4%
	(StDev.)	(2.04 × 10${}^{-6}$)	(2.55 × 10${}^{-5}$)	(2.09 × 10${}^{-6}$)	(7.05 × 10${}^{-4}$)	(1.06 × 10${}^{-4}$)	(3.51 × 10${}^{-4}$)	(1.48 × 10${}^{-6}$)	(3.65 × 10${}^{-5}$)
Gap w = 5	Cubic spline	6.55	23.03	6.48	80.71	16.34	1.80	4.58	32.25	0.8%
	Algorithm 2	6.56	23.00	6.48	79.90	16.49	2.29	4.58	32.21	4.8%
	(StDev.)	(3.42 × 10${}^{-5}$)	(5.70 × 10${}^{-5}$)	(3.50 × 10${}^{-5}$)	(1.41 × 10${}^{-3}$)	(3.20 × 10${}^{-4}$)	(1.32 × 10${}^{-3}$)	(2.47 × 10${}^{-5}$)	(8.40 × 10${}^{-5}$)
Gap w = 7	Cubic spline	6.55	23.07	6.47	82.05	16.56	1.85	4.58	32.30	1.5%
	Algorithm 2	6.56	23.00	6.49	79.44	16.34	2.20	4.59	32.20	4.0%
	(StDev.)	(5.55 × 10${}^{-5}$)	(1.00 × 10${}^{-4}$)	(5.68 × 10${}^{-5}$)	(4.56 × 10${}^{-3}$)	(5.70 × 10${}^{-4}$)	(1.39 × 10${}^{-3}$)	(4.01 × 10${}^{-5}$)	(1.45 × 10${}^{-4}$)