Artifacts in wearable photoplethysmographs during daily life motions and their reduction with least mean square based active noise cancellation method

Computers in Biology and Medicine

Volumn 42, Issue 4, 2012, Pages 387-393

  Han, Hyonyoung ^a   Kim, Jung ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Active noise cancellation; Artifact reduction; Daily life motion; Motion artifact; Photoplethysmograph

Indexed keywords

ACTIVE NOISE CANCELLATION; ARTIFACT REDUCTION; DAILY LIVES; MOTION ARTIFACT; PHOTOPLETHYSMOGRAPH;

ACCELEROMETERS; SIGNAL RECONSTRUCTION; WALKING AIDS;

SPURIOUS SIGNAL NOISE;

ACCELEROMETER; ADULT; ARTICLE; ARTIFACT; ELECTROCARDIOGRAM; HUMAN; HUMAN EXPERIMENT; MOVEMENT (PHYSIOLOGY); NOISE; PHOTOELECTRIC PLETHYSMOGRAPHY; PRIORITY JOURNAL; RUNNING; WALKING; WRITING;

ACTIVITIES OF DAILY LIVING; ADULT; ALGORITHMS; ARTIFACTS; HUMANS; LEAST-SQUARES ANALYSIS; MONITORING, AMBULATORY; MOVEMENT; PHOTOPLETHYSMOGRAPHY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84858161005     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2011.12.005     Document Type: Article

References (26)

1. Allen J. Photoplethysmography and its application in clinical physiological measurement. Physiol. Meas. 2007, 28:R1-39.
2. Enriquez R.H., Castellanos M.S., Rodriguez J.F., Caceres J.L.H. Analysis of the photoplethysmographic signal by means of the decomposition in principal components. Physiol. Meas. 2002, 23:N17-29.
3. Yan Y., Poon C.C.Y., Zhang Y. Reduction of motion artifact in pulse oximetry by smoothed pseudo Wigner-Ville distribution. J. Neuroeng. Rehabil. 2005, 2:3.
4. Kim B.S., Yoo S.K. Motion artifact reduction in photoplethysmography using independent component analysis. IEEE Trans. Biomed. Eng. 2006, 53:566-568.
5. Kun Z., Teng J., Xiuzhen D., Wen Z. Extracting motional information from the photoplethysmography using reconstruction of the wavelet transforms modulus maxima. Conf. Proc. Int. Conf. Bioinform. Biomed. Eng. 2008, 1395-1398.
6. Kim S., Hwang E.J., Kim D.W. Reduction of movement artifacts in photoplethysmograph using SFLC (scaled Fourier linear combiner). IFMBE Proc. 2007, 15:427-430.
7. Shin H., Lee C., Lee M. Adaptive threshold method for the peak detection of photoplethydmographic waveform. Comput. Biol. Med. 2009, 39:1145-1152.
8. Gibbs P.T., Wood L.B., Asada H.H. Active motion artifact cancellation for wearable health monitoring sensors using collocated MEMS accelerometers. Proc. SPIE 2005, 811-819.
9. Asada H.H., Jiang H.H., Gibbs P. Active noise cancellation using MEMS accelerometers for motion-tolerant wearable bio-sensors. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2004, 2157-2160.
10. Chan K.W., Zhang Y.T. Adaptive reduction of motion artifact from photoplethysmographic recordings using a variable step-size LMS filter. Conf. Proc. IEEE Sens. 2002, 2:1343-1346.
11. Relente A.R., Sison L.G. Characterization and adaptive filtering of motion artifacts in pulse oximetry using accelerometers. IEEE Trans. Biomed. Eng. 2001, 48:452-461.
12. Zahedi E., Beng G.K. Applicability of adaptive noise cancellation to fetal heart rate detection using photoplethysmography. Comput. Biol. Med. 2008, 38:31-41.
13. Renevey P., Vetter R., Krauss J., Celka P., Depeursinge Y. Wrist-located pulse detection using IR signals, activity and nonlinear artifact cancellation. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2001, 3:3030-3033.
14. Foo J.Y.A., Wilson S.J. A computational system to optimise noise rejection in photoplethysmography signals during motion or poor perfusion states. Med. Biol. Eng. Comput. 2006, 44:140-145.
15. Kunesch E., Binkofski F., Freund H.J. Invariant temporal characteristics of manipulative hand movements. Exp. Brain Res. 1989, 78:539-546.
16. Watanabe K., Watanabe T., Watanabe H., Ando H., Ishikawa T., Kobayashi K. Noninvasive measurement of heartbeat, respiration, snoring and body movements of a subject in bed via a pneumatic method. IEEE Trans. Biomed. Eng. 2005, 52:2100-2107.
17. Xiong Y., Quek F. Hand motion gesture frequency properties and multimodal discourse analysis. Int. J. Comput. Vision 2006, 69:353-371.
18. Anderson R.R., Parrish J.A. The optics of human skin. J. Invest. Dermatol. 1981, 77:13-19.
19. Nitzan M., Babchenko A., Shemesh D., Alberton J. Influence of thoracic sympathectomy on cardiac induced oscillations in tissue blood volume. Med. Biol. Eng. Comput. 2001, 39:579-583.
20. Schultz-Ehrenburg U., Blazek V. Value of quantitative photoplethysmography for functional vascular diagnostics. Skin Pharmacol. Physiol. 2000, 14:316-323.
21. Widrow B., Glover J.R., McCool J.M., Kaunitz J., Williams C.S., Hearn R.H., Zeidler J.R., Dong E., Goodlin R.C. Adaptive noise cancelling: principles and applications. Proc. IEEE 1975, 63:1692-1716.
22. Haykin S., Widrow B. Least-Mean-Square Adaptive Filters 2003, Wiley-Interscience, New York, pp. 1-34.
23. Han H., Kim M.J., Kim J. Development of real-time motion artifact reduction algorithm for a wearable photoplethysmography. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2007, 1538-1541.
24. Bland J.M., Altman D.G. Measuring agreement in method comparison studies. Stat. Methods Med. Res. 1999, 8:135-160.
25. Keller T.S., Weisberger A.M., Ray J.L., Hasan S.S., Shiavi R.G., Spengler D.M. Relationship between vertical ground reaction force and speed during walking, slow jogging, and running. Clin. Biomech. (Bristol, Avon) 1996, 11:253-259.
26. Luhtanen P., Komi P.V. Force-, power-, and elasticity-velocity relationships in walking, running, and jumping. Eur. J. Appl. Physiol. Occup. Physiol. 1980, 44:279-289.