2.4GHZ WIRELESS ELECTROMYOGRAPH SYSTEM WITH STATISTICALLY OPTIMAL AUTOMATIC GAIN CONTROL - Design and Performance Analysis

Andrea Morici, Giorgio Biagetti, Claudio Turchetti

2009

Abstract

In this paper a wireless system for non-invasive surface electromyography (SEMG) is presented. The use of a wireless technology, that substitutes cabled electrodes with a wireless link, allows the number of sensors on the body to be increased without affecting the patient’s freedom of movement. Problems in this setup, that extend from energy consumption minimization, to satisfaction of wireless link operational bandwidth and distance requirements, and from the necessity of embedding hardware in an appreciably small device, to making it not too expensive to final customers, have been deeply analyzed and solved. In this context, low rate wireless personal area networks (LR-WPANs) proved to be a good choice for the realization of low-cost embedded wireless electrodes for electromyography. Following these considerations, a low-cost electromyographical wireless device, based on an off-the-shelf IEEE 802.15.4-compatible RF transceiver, have been designed and realized, and optimized signal processing algorithms developed to enhance the system accuracy. In particular, due to the wide range of possible amplitudes for the SEMG signal, an optimal automatic gain control, based on a detailed statistical signal analysis, have been developed to reduce the distorsion at the output of the quantizer.

References

  1. Berzuini, C., Figini, M. M., and Bernardinelli, L. (1985). Evaluation of the effectiveness of EMG parameters in the study of neurogenic diseases-a statistical approach using clinical and simulated data. IEEE Transactions on Biomedical Engineering, BME-32(1):15-27.
  2. Clancy, E. A. and Hogan, N. (1999). Probability density of the surface electromyogram and its relation to amplitude detectors. IEEE Transactions on Biomedical Engineering, 46(6).
  3. Jansen, B. H., Miller, V. H., Mavrofrides, D. C., and Jansen, C. W. S. (2003). Multidimensional EMG-based assessment of walking dynamics. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 11(3).
  4. Kawakami, G., Nishidaa, Y., and Mizoguchi, H. (2007). In situ measurement of playing children by wireless wearable electromyography. In Proc. IEEE Sensors Conference 2007, Atlanta, GA, USA.
  5. Lemmerhirt, D. F., Staudacher, E. M., and Wise, K. D. (2006). A multitransducer microsystem for insect monitoring and control. IEEE Transactions on Biomedical Engineering, 53(10).
  6. Miyazawa, K., Ueno, A., Mori, H., Hoshino, H., and Noshiro, M. (2006). Development and evaluation of a wireless interface for inputting characters using laplacian EMG. In Proc. 28th IEEE EMBS Annual International Conference, New York City, NY, USA.
  7. Staudenmann, D., Kingma, I., Daffertshofer, A., Stegeman, D. F., and van Dieën, J. H. (2006). Improving EMGbased muscle force estimation by using a high-density EMG grid and principal component analysis. IEEE Transactions on Biomedical Engineering, 53(4).
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Paper Citation


in Harvard Style

Morici A., Biagetti G. and Turchetti C. (2009). 2.4GHZ WIRELESS ELECTROMYOGRAPH SYSTEM WITH STATISTICALLY OPTIMAL AUTOMATIC GAIN CONTROL - Design and Performance Analysis . In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2009) ISBN 978-989-8111- 64-7, pages 39-45. DOI: 10.5220/0001511300390045


in Bibtex Style

@conference{biodevices09,
author={Andrea Morici and Giorgio Biagetti and Claudio Turchetti},
title={2.4GHZ WIRELESS ELECTROMYOGRAPH SYSTEM WITH STATISTICALLY OPTIMAL AUTOMATIC GAIN CONTROL - Design and Performance Analysis},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2009)},
year={2009},
pages={39-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001511300390045},
isbn={978-989-8111- 64-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2009)
TI - 2.4GHZ WIRELESS ELECTROMYOGRAPH SYSTEM WITH STATISTICALLY OPTIMAL AUTOMATIC GAIN CONTROL - Design and Performance Analysis
SN - 978-989-8111- 64-7
AU - Morici A.
AU - Biagetti G.
AU - Turchetti C.
PY - 2009
SP - 39
EP - 45
DO - 10.5220/0001511300390045