Empirical mode decomposition applied to tissue artifact removal from respiratory signal

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 3624-3627

  Liu, Shaopeng ^a   He, Qingbo ^a   Gao, Robert X ^a   Freedson, Patty ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; INDEPENDENT COMPONENT ANALYSIS; TISSUE;

ABDOMINAL BELTS; ARTIFACT REMOVALS; EMPIRICAL-MODE DECOMPOSITIONS; INDEPENDENT COMPONENTS; LOW-PASS FILTERS; PIEZOELECTRIC SENSORS; RESPIRATORY SIGNALS; SIGNAL DECOMPOSITION TECHNIQUES; SIMULATION STUDIES; SYNTHETIC SIGNALS; THEORETICAL FOUNDATIONS;

SIGNAL PROCESSING;

ADULT; ALGORITHM; ARTICLE; ARTIFACT; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; COMPUTER SIMULATION; EQUIPMENT; HUMAN; IMAGE SUBTRACTION; LUNG GAS EXCHANGE; MALE; METHODOLOGY; REPRODUCIBILITY; SIGNAL PROCESSING; STATISTICAL MODEL; TIME;

ADULT; ALGORITHMS; ARTIFACTS; COMPUTER SIMULATION; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MODELS, STATISTICAL; PULMONARY GAS EXCHANGE; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; SUBTRACTION TECHNIQUE; TIME FACTORS;

EID: 61849125349     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. B. Loveridge, P. West, N. R. Anthonisen and M. H. Kryger, "Single-position calibration of the respiratory inductance plethysmograph," J. Appl. Physiol., vol. 55, 1983, pp. 1031-1034.
2. K. A. East, T. D. East and V. J. Mathews, "Computerized artifact detection for ventilatory inductance plethysmographic apnea monitors," J. Clin. Monit., vol. 5, 1989, pp. 170-176.
3. D.B. Keenan and F.H. Wilhelm, "Adaptive and wavelet filtering methods for improving accuracy of respiratory measurement," Biomed. Sci. Instrum., vol. 41, 2005, pp. 37-42.
4. A. Hyvärinen and E. Oja, "Independent component analysis: algorithms and applications," Neural Networks, vol. 13, 2000, pp. 411-430.
5. N. E. Huang, Z. Shen, and S. R. Long, "The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis," Proc. Roy. Soc. Lond. A, vol. 454, 1998, pp. 903-995.
6. H. Liang, Z. Lin and R. W. McCallum, "Artifact reduction in electrogastrogram based on empirical mode decomposition method," Med. Biol. Eng. Comput., vol. 38, 2000, pp. 35-41.
7. R. Balocchi, D. Menicucci, E. Santarcangelo, L. Sebastiani, A. Gemignani, B. Ghelarducci and M. Varanini, "Deriving the respiratory sinus arrhythmia from the heartbeat time series using empirical mode decomposition," Chaos, Solitons and Fractals, vol. 20, 2004, pp. 171-177.
8. N. Bu, N. Ueno and O. Fukuda, "Monitoring of respiration and heartbeat during sleep using a flexible piezoelectric film sensor and empirical mode decomposition," in Proc. 29th Annu. IEEE EMBS Conf., Lyon, 2007, pp. 1362-1366.
9. B. S. Beckett, Illustrated Human and Social Biology. Oxford: Oxford University Press, 1995, pp. 78.
10. W. D. McArdle, F. I. Katch and V. L. Katch. Exercise Physiology: Energy, Nutrition, and Human Physiology, Lippincott Williams and Wilkins, 2006, pp. 270.
11. J. Lin and A. Zhang, "Fault feature separation using wavelet-ICA filter," NDT&E International, Vol. 38, 2005, pp. 421-427.
12. Q. He, S. Su, and R. Du, "Separating mixed, multi-component signal with an application in mechanical watch movement," Digital Signal Processing, (In Press).