S. Seyedtabaii and L. Seyedtabaii
Kalman Filter Based Adaptive Reduction of Motion Artifact from Photoplethysmographic Signal
13 - 16
2008
2
1
International Journal of Electronics and Communication Engineering
https://publications.waset.org/pdf/7359
https://publications.waset.org/vol/13
World Academy of Science, Engineering and Technology
Artifact free photoplethysmographic (PPG) signals are
necessary for noninvasive estimation of oxygen saturation (SpO2) in
arterial blood. Movement of a patient corrupts the PPGs with motion
artifacts, resulting in large errors in the computation of Sp02. This
paper presents a study on using Kalman Filter in an innovative way
by modeling both the Artillery Blood Pressure (ABP) and the
unwanted signal, additive motion artifact, to reduce motion artifacts
from corrupted PPG signals. Simulation results show acceptable
performance regarding LMS and variable step LMS, thus
establishing the efficacy of the proposed method.
Open Science Index 13, 2008