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Figure 6 | BioMedical Engineering OnLine

Figure 6

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

Figure 6

Performance of the cICA-LMS in reducing the MA under five different motion situations. (a): Vertical movement of finger; (b): Horizontal movement of finger (c): Bending finger; (d): Pressurizing probe clip; (e): Waving hand. In each of the sub-figure, the upper two subplots are MA corrupted red and IR channel PPG signals, the next two subplots are recovered PPG signals using FFT-LMS method, then the next two subplots are recovered PPG signals using MAF method, and the last two subplots are recovered PPG signals by the cICA-LMS method.

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