Motion artifact removal from photoplethysmographic signals by combining temporally constrained independent component analysis and adaptive filter

Table 1 Effectiveness of the proposed method in restoring the peak-to-peak values of red channel PPG

	Vertical movement	Horizontal movement	Bending finger	Pressurizing probe clip	Waving hand
PPG without MA	7009.0 ± 408.3	4377.5 ± 435.8	792.7 ± 215.8	2843.4 ± 411.1	2708.0 ± 428.1
PPG with MA	6247.8 ± 840.8	4501.6 ± 886.0	1805.4 ± 1076.2	3890.1 ± 2020.7	3278.4 ± 821.1
Recovered PPG Using FFT-LMS	6412.6 ± 1058.3	4159.3 ± 1018.9	1836.7 ± 1029.0	3587.8 ± 1494.2	3224.3 ± 894.5
Recovered PPG Using MAF	5431.1 ± 939.5	4098.5 ± 856.4	1549.4 ± 846.2	3216.7 ± 1440.6	2855.4 ± 642.8
Recovered PPG Using cICA-LMS	6284.6 ± 606.3	4196.2 ± 688.9	971.2 ± 338.1	3181.4 ± 473.4	2735.3 ± 589.5

Data are expressed as mean ± SD. The values in the tables are dimensionless, this does not influence the calculation of SpO₂.

ISSN: 1475-925X