@article{(Open Science Index):https://publications.waset.org/pdf/7359,
	  title     = {Kalman Filter Based Adaptive Reduction of Motion Artifact from Photoplethysmographic Signal},
	  author    = {S. Seyedtabaii and  L. Seyedtabaii},
	  country	= {},
	  institution	= {},
	  abstract     = {Artifact free photoplethysmographic (PPG) signals are
necessary for non-invasive 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.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {2},
	  number    = {1},
	  year      = {2008},
	  pages     = {13 - 16},
	  ee        = {https://publications.waset.org/pdf/7359},
	  url   	= {https://publications.waset.org/vol/13},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 13, 2008},
	}