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Authors: Wesley J. E. Teskey ; Mohamed Elhabiby and Naser El-Sheimy

Affiliation: University of Calgary, Canada

ISBN: 978-989-8425-37-9

Keyword(s): Weighted-frequency Fourier linear combiner (WFLC), Wavelets, Accelerometers, Gyroscopes, Essential tremor, Parkinson’s disease, Kalman smoothing, Microelectromechanical systems (MEMS).

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Instrumentation ; Biomedical Instruments and Devices ; Biomedical Metrology ; Biomedical Sensors ; Devices ; Hardware ; Health Monitoring Devices ; Human-Computer Interaction ; MEMS ; Physiological Computing Systems ; Sensor Networks

Abstract: The use of a weighted-frequency Fourier linear combiner (WFLC) algorithm for assessment and attenuation of movement disorder tremor (including essential tremor and Parkinson’s tremor) is quite prevalent; indeed, this technique is likely the most popular for such applications. The novel work presented here applies this technique to accelerometer and gyroscope data describing six degree-of-freedom motion (three translational and three rotational degrees-of-freedom). Most analysis of tremor is based on observation of generally one to three degrees-of-freedom of motion. Six degree-of-freedom motion analysis is more difficult to accomplish because of the complexity of capturing such a large amount of motion data. As well, processing accelerometer and gyroscope data to yield six degree-of-freedom motion generally involves the use of a Kalman smoother (necessary because of signal noise and drift) to ensure that accelerometer signals are correctly compensated for the influence of gravity. Aft er data are processed using a Kalman smoother and the WFLC algorithm is applied, results are interpreted using wavelet frequency spectrum analysis to determine the frequency content before and after processing the data. Results show that the WFLC algorithm can be successfully applied to all six degrees-of-freedom of motion to largely remove tremor. (More)

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Paper citation in several formats:
J. E. Teskey, W.; Elhabiby, M. and El-Sheimy, N. (2011). ADAPTIVE HUMAN TREMOR ASSESSMENT AND ATTENUATION - Six Degree-of-Freedom Motion Analysis Utilizing Wavelets.In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2011) ISBN 978-989-8425-37-9, pages 46-54. DOI: 10.5220/0003146900460054

@conference{biodevices11,
author={Wesley J. E. Teskey. and Mohamed Elhabiby. and Naser El{-}Sheimy.},
title={ADAPTIVE HUMAN TREMOR ASSESSMENT AND ATTENUATION - Six Degree-of-Freedom Motion Analysis Utilizing Wavelets},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2011)},
year={2011},
pages={46-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003146900460054},
isbn={978-989-8425-37-9},
}

TY - CONF

JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2011)
TI - ADAPTIVE HUMAN TREMOR ASSESSMENT AND ATTENUATION - Six Degree-of-Freedom Motion Analysis Utilizing Wavelets
SN - 978-989-8425-37-9
AU - J. E. Teskey, W.
AU - Elhabiby, M.
AU - El-Sheimy, N.
PY - 2011
SP - 46
EP - 54
DO - 10.5220/0003146900460054

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