Abstract
A weighted-frequency Fourier linear combiner (WFLC) filter is used for removal of tremor motion for data captured from movement disorders subjects with essential tremor (ET) and Parkinson’s disease (PD). This technique is applied here in six degrees-of-freedom and data are filtered so that a comparison can be made before and after filtering to assess the extent to which the WFLC filter removed tremor. A wavelet spectral analysis is employed to determine the effectiveness of the filter in removing tremor in the 3-12 Hz band of interest. A Kalman filter is employed to improve data processing so that six degree-of-freedom tremor motion can be accurately rendered for subsequent filtering; such accurate rendering is needed so that full tremor motion can be adequately described. A Fourier coherence based technique is utilized so that relationships for interrelated tremors for the different six degrees-of-freedom can be identified. Much of the analysis shown is novel.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Rocon, E., Belda-Louis, J.M., Sanchez-Lacuesta, J.J., Pons, J.L.: Pathological Tremor Management: Monitoring, Compensatory Technology and Evaluation. Technology and Disability 16, 3–18 (2004)
Rocon de Lima, E., Andrade, A.O., Pons, J.L., Kyberd, P., Nasuto, S.J.: Empirical Mode Decomposition: a Novel Technique for the Study of Tremor Time Series. Med. Bio. Eng. Comput. 44, 569–582 (2006)
Gallego, J.A., Rocon, E., Roa, J.O., Moreno, J.C., Koutsou, A.D., Pons, J.L.: On the use of inertial measurement units for real-time quantification of pathological tremor amplitude and frequency. In: Proceedings of the Eurosensors XXIII Conference. Procedia Chemistry, vol. 1, pp. 1219–1222 (2009)
Louis, E.D.: Essential tremor. Lancet Neurol. 4, 100–110 (2005)
Mansur, P.H.G., Cury, L.K.P., Andrade, A.O., Pereira, A.A., Miotto, G.A.A., Soares, A.B., Naves, E.L.M.: A Review on Techniques for Tremor Recording and Quantification. Critical Reviews in Biomedical Engineering 35(5), 343–362 (2007)
Elble, R.J., Koller, W.C.: Tremor. The John Hopkins University Press, Baltimore (1990)
Sabatini, A.M.: Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing. IEEE Transactions on Biomedical Engineering 53(7), 1346–1356 (2006)
El-Sheimy, N., Hou, H., Niu, X.: Analysis and modeling of inertial sensors using Allan variance. IEEE Transactions on Instrumentation and Measurement 57(1), 140–149 (2008)
Shin, E.: Estimation Techniques for Low Cost Inertial Navigation. Ph.D. Department of Geomatics Engineering, University of Calgary (2005)
Stockwell, W.: Angle Random Walk. Crossbow Technologies Inc., pp. 1–4 (2010), http://www.xbow.com/pdf/AngleRandomWalkAppNote.pdf (accessed July 13, 2010)
Chui, C.K., Chen, G.: Kalman Filtering With Real Time Applications, 2nd edn. Springer, Heidelberg (1991)
Grewal, M.S.: Kalmen Filtering: Theory and Practice. Prentice-Hall (1993)
Brown, R.G., Hwang, P.Y.C.: Introduction to Random Signals and Applied Kalman Filtering, 2nd edn. John Wiley and Sons Inc. (1992)
Altmann, S.L.: Rotations, Quaternions and Double Group. Dover Publications (1986)
Kuipers, B.J.: Quaternions and Rotation Sequences: A Primer With Applications to Orbits, Aerospace and Virtual Reality. Princeton University Press (1999)
Brookner, E.: Tracking and Kalman filtering made easy. John Wiley & Sons, Ltd. (1998)
Riviere, C.N., Reich, S.G., Thakor, N.V.: Adaptive Fourier Modeling for Quantification of Tremor. Journal of Neuroscience Methods 74, 77–87 (1997)
Riviere, C.N., Rader, R.S., Thakor, N.V.: Adaptive Canceling of Physiological Tremor for Improved Precision in Microsurgery. IEEE Transactions on Biomedical Engineering 45(7), 839–846 (1998)
Goswami, J.C., Chan, A.K.: Fundamentals of Wavelets: Theory, Algorithms and Applications. Wiley Series in Microwave and Optical Engineering. Wiley-Interscience (1999)
Matlab (computational environment) Help Documentation, scal2frq function (2008), http://matlab.izmiran.ru/help/toolbox/wavelet/scal2frq.html (accessed July 13, 2010)
LIS3L06AL MEMS Inertial Sensor Data Sheet, ST Microelectronics, pp. 1–17 (2006), http://www.st.com/stonline/products/literature/ds/11669.pdf (accessed July 13, 2010)
XV-8100CB ultra miniature size gyro sensor data sheet. Epson Toyocom, pp. 1–2 (2010), http://www.frank-schulte.com/media/Pdf/XV-8100CB_E06X.pdf (accessed July 13, 2010)
Halliday, D.M., Rosenberg, J.R., Amjad, A.M., et al.: A framework for the analysis of mixed time series/point process data – theory and application to the study of physiological tremor, single motor unit discharges and electromyograms. Prog. Biophys. Molec. Biol. 64(2), 237–278 (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Teskey, W., Elhabiby, M., El-Sheimy, N. (2013). Movement Disorder Assessment and Attenuation Techniques for Removal of Tremor. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2011. Communications in Computer and Information Science, vol 273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29752-6_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-29752-6_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29751-9
Online ISBN: 978-3-642-29752-6
eBook Packages: Computer ScienceComputer Science (R0)