Reduction of motion artifacts from photoplethysmographic recordings using a wavelet denoising approach

Abstract

In this work, the effects of motion artifacts on photoplethysmographic signals obtained at fingertip was evaluated. A wavelet-based method was proposed to reduce the influence of motion artifacts on heart rate (HR) and heart rate variability (HRV) estimation. Two kinds of motions were investigated - vertical and circular motions. During the motion, reference signals were acquired at other hand as a standard. Results show that the HR and HRV estimation error can be reduced significantly.