Kalman Filter Based Adaptive Reduction of Motion Artifact from Photoplethysmographic Signal
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.
[1] K. W. Chan and Y. T. Zhang, "Adaptive Reduction of Motion Artifact
from Photoplethysmographic Recordings using a Variable Step Size
LMS Filter," Sensors, 2002. Proceedings of IEEE, Volume: 2, pp. 1343-
1346.
[2] P. D. Larsen, M. H. Mohana Thirchelvarn, and Duncan C. Galletly,
"Spectral analysis of AC and DC components of the pulse
photoplethysmogrphy at rest and during induction of anesthesia,"
International Journal of Clinical Monitoring and Computing, 1997, 14,
pp.89-95.
[3] B. S. Kim and S. K. Yoo, "Motion artifact reduction in
photoplethysmography using independent component analysis," IEEE
Transactions on Biomedical Engineering, Volume 53, Issue 3, March
2006 Page(s): 566 - 568.
[4] M. J. Hayes and P. R. Smith, "Artifact Reduction in
Photoplethysmography, "Applied Optics, Vol. 37, Issue 31, pp. 7437-
7446
[5] Y Yan, C Poon and f Y Zhang, "Reduction of motion artifact in pulse
oximetry by smoothed pseudo Wigner-Ville distribution," Journal of
NeuroEngineering and Rehabilitation 2005, 2:3
[6] J. B. Evans and B. Liu, "Variable step size methods for the LMS
adaptive algorithms," IEEE Int. Symp. Circuits. Syst. Proc, 1987,
pp.422-425.
[7] E. W. Harris and C.D.M.a.B.F.A., "A variable step (VS) adaptive filter
algorithm," IEEE Transactions on Biomedical Engineering, 1986, Vol.
34, pp.309-316.
[8] R. Mukkamala, AT Reisner, HM Hojman, RG Mark, and RJ Cohen,
"Continuous cardiac output monitoring by peripheral blood pressure
waveform analysis," IEEE Trans Biomed Eng, 53: 459-467, 2006.
[9] Z Lu and R Mukkamala, "Continuous cardiac output monitoring in
humans by invasive and noninvasive peripheral blood pressure
waveform analysis," J Appl Physiol 101: 598-608, 2006;
[10] N Townsend, M. Term, "Pulse Oximetry," Medical Electronics, 2001,
pp.35-45
[11] Bernard Widrow, J.M.M., Michael G. Larimore and C.Richard Johnson,
"Adaptive noise canceling: Principles and applications," Proceedings of
IEEE, Dec. 1975, Vo163, pp.1692-1716.
[12] S. Haykin, Adaptive Filter Theory. Fourth Edition. Prentice-Hall, Inc.,
Englewood Cliffs, NJ, 2002.
[1] K. W. Chan and Y. T. Zhang, "Adaptive Reduction of Motion Artifact
from Photoplethysmographic Recordings using a Variable Step Size
LMS Filter," Sensors, 2002. Proceedings of IEEE, Volume: 2, pp. 1343-
1346.
[2] P. D. Larsen, M. H. Mohana Thirchelvarn, and Duncan C. Galletly,
"Spectral analysis of AC and DC components of the pulse
photoplethysmogrphy at rest and during induction of anesthesia,"
International Journal of Clinical Monitoring and Computing, 1997, 14,
pp.89-95.
[3] B. S. Kim and S. K. Yoo, "Motion artifact reduction in
photoplethysmography using independent component analysis," IEEE
Transactions on Biomedical Engineering, Volume 53, Issue 3, March
2006 Page(s): 566 - 568.
[4] M. J. Hayes and P. R. Smith, "Artifact Reduction in
Photoplethysmography, "Applied Optics, Vol. 37, Issue 31, pp. 7437-
7446
[5] Y Yan, C Poon and f Y Zhang, "Reduction of motion artifact in pulse
oximetry by smoothed pseudo Wigner-Ville distribution," Journal of
NeuroEngineering and Rehabilitation 2005, 2:3
[6] J. B. Evans and B. Liu, "Variable step size methods for the LMS
adaptive algorithms," IEEE Int. Symp. Circuits. Syst. Proc, 1987,
pp.422-425.
[7] E. W. Harris and C.D.M.a.B.F.A., "A variable step (VS) adaptive filter
algorithm," IEEE Transactions on Biomedical Engineering, 1986, Vol.
34, pp.309-316.
[8] R. Mukkamala, AT Reisner, HM Hojman, RG Mark, and RJ Cohen,
"Continuous cardiac output monitoring by peripheral blood pressure
waveform analysis," IEEE Trans Biomed Eng, 53: 459-467, 2006.
[9] Z Lu and R Mukkamala, "Continuous cardiac output monitoring in
humans by invasive and noninvasive peripheral blood pressure
waveform analysis," J Appl Physiol 101: 598-608, 2006;
[10] N Townsend, M. Term, "Pulse Oximetry," Medical Electronics, 2001,
pp.35-45
[11] Bernard Widrow, J.M.M., Michael G. Larimore and C.Richard Johnson,
"Adaptive noise canceling: Principles and applications," Proceedings of
IEEE, Dec. 1975, Vo163, pp.1692-1716.
[12] S. Haykin, Adaptive Filter Theory. Fourth Edition. Prentice-Hall, Inc.,
Englewood Cliffs, NJ, 2002.
@article{"International Journal of Electrical, Electronic and Communication Sciences:56437", author = "S. Seyedtabaii and L. Seyedtabaii", title = "Kalman Filter Based Adaptive Reduction of Motion Artifact from Photoplethysmographic Signal", 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.", keywords = "Kalman filter, Motion artifact, PPG,Photoplethysmography.", volume = "2", number = "1", pages = "98-4", }