Table 12.

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 (NEEDED database).

Signal	Method	RMSSD	SDNN	SDSD	Total Power	LF	HF	SD1	SD2	Mean Error
Original		4.14	13.31	4.16	75.48	17.44	7.80	2.94	18.59
Gap w = 3	Cubic spline	4.15	13.30	4.16	75.22	16.69	8.12	2.94	18.58	1.2%
	Algorithm 2	4.14	13.29	4.15	74.70	16.22	8.03	2.94	18.56	1.5%
	(StDev.)	(2.97 × 10${}^{-5}$)	(2.77 × 10${}^{-5}$)	(2.99 × 10${}^{-5}$)	(7.89 × 10${}^{-4}$)	(7.44 × 10${}^{-4}$)	(2.86 × 10${}^{-4}$)	(2.11 × 10${}^{-5}$)	(3.86 × 10${}^{-5}$)
Gap w = 5	Cubic spline	4.08	13.15	4.10	72.05	12.34	8.59	2.90	18.36	6.3%
	Algorithm 2	4.10	13.29	4.11	75.31	16.91	8.01	2.91	18.58	1.1%
	(StDev.)	(5.85 × 10${}^{-5}$)	(5.19 × 10${}^{-5}$)	(5.88 × 10${}^{-5}$)	(1.88 × 10${}^{-3}$)	(1.28 × 10${}^{-3}$)	(8.14 × 10${}^{-4}$)	(4.16 × 10${}^{-5}$)	(7.02 × 10${}^{-5}$)
Gap w = 7	Cubic spline	4.09	13.14	4.11	74.18	13.32	9.31	2.90	18.36	6.4%
	Algorithm 2	4.08	13.29	4.10	75.25	16.84	7.91	2.90	18.58	1.1%
	(StDev.)	(7.72 × 10${}^{-5}$)	(8.46 × 10${}^{-5}$)	(7.77 × 10${}^{-5}$)	(2.88 × 10${}^{-3}$)	(2.46 × 10${}^{-3}$)	(1.14 × 10${}^{-3}$)	(5.49 × 10${}^{-5}$)	(1.18 × 10${}^{-4}$)