Skip to main content
SpringerLink
Log in

An EMG Feedback Control Functional Electrical Stimulation Cycling System

  • Published:
Journal of Signal Processing Systems Aims and scope Submit manuscript

Abstract

The prevalence of stroke and its residual disability is getting higher and higher in the whole world population. The functional electrical stimulation cycling system (FES-CS) is useful for hemiplegic patients to make the muscles of stroke patients be under hybrid activation. The raw electromyography (EMG) takes down the residual muscle force of stroke subjects; and the peak-to-peak of stimulus EMG indicates the force enhancement benefiting from electrical stimulation. This research proposed an EMG feedback control protocol of FES-CS, which includes a physiological signal recorder, a FPGA control module, DAC and electrical stimulation circuits. Using the strength of real-time EMG signal obtained from patients as a feedback to control the stimulation output intensity of FES cycling system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15

Similar content being viewed by others

References

  1. WHO (2009). Cardiovascular diseases: Facts about cardiovascular diseases. [Online]. http://www.who.int/mediacentre/factsheets/fs317/en/index.html

  2. Chen, H. Y., Chen, S. C., Chen, J. J., Fu, L. L., & Wang, Y. L. (2005). Kinesiological and kinematical analysis for stroke subjects with asymmetrical cycling movement patterns. Journal of Electromyography and Kinesiology, 15(6), 587–595.

    Article  Google Scholar 

  3. Chen, J. J., Yu, N. Y., Huang, D. G., Ann, B. T., & Chang G. C. (1997). Applying fuzzy logic to control cycling movement induced by functional electrical stimulation. IEEE Transactions on Rehabilitation Engineering, 5(2), 158–169.

    Article  Google Scholar 

  4. Chen, H. Y. (2001). Clinical study of functional electrical stimulation cycling system for subjects with asymmetrical movement patterns. Master thesis: National Cheng Kung University, Taiwan.

    Google Scholar 

  5. Hara Y. (2008). Neurorehabilitation with new functional electrical stimulation for hemiparetic upper extremity in stroke patients. Journal of Nippon Medical School, 75(1), 4–14.

    Article  Google Scholar 

  6. Ferrante, S., Pedrocchi, A., Ferrigno, G., & Molteni, F. (2008). Cycling induced by functional electrical stimulation improves the muscular strength and the motor control of individuals with post-acute stroke. European Journal of Physical and Rehabilitation Medicine, 44(2), 159–167.

    Google Scholar 

  7. Langzam, E., Isakov, E., & Mizrahi, J. (2006). Evaluation of methods for extraction of the volitional EMG in dynamic hybrid muscle activation. Journal of NeuroEngineering and Rehabilitation, 3(27).

  8. Thorsen, R. (1999). An Artefact Suppressing Fast-Recovery Myoelectric Amplifier. IEEE Transactions on Biomedical Engineering, 46(6), 764–766.

    Article  Google Scholar 

  9. Frigo, C., Ferrarin, M., Frassona, W., Pavan, E., & Thorsen, R. (2000). EMG signals detection and processing for on-line control of functional electrical stimulation. Journal of Electromyography and Kinesiology, 10, 351–360.

    Article  Google Scholar 

  10. Langzam, E., Nemirovsky, Y., Isakov, E., & Mizrahi, J. (2007). Muscle enhancementusing closed-loop electrical stimulation: Volitional versus induced torque. Journal of Electromyography and Kinesiology, 17, 275–284.

    Article  Google Scholar 

  11. Langzam, E., Nemirovsky, Y., Isakov, E., & Mizrahi, J. (2006). Partition between volitional and induced forces in electrically augmented dynamic isometric muscle contractions. IEEE Transactions on Rehabilitation Engineering, 14(3), 322–335.

    Article  Google Scholar 

  12. Linear Technology Corporation. 10-bit DAC LTC1660 Datasheet.

Download references

Author information

Authors and Affiliations

  1. Institute of Biomedical Engineering, National Cheng-Kung University, CO 701, Tainan, Taiwan, Republic of China

    Chien-Chih Chen

  2. Department of Physical Therapy, Kaohsiung Medical University, Kaohsiung, CO 80708, Taiwan, Republic of China

    Chien-Chih Chen

  3. Department and Institute of Electronic Engineering, National Yunlin University of Science and Technology, CO 640, Yunlin, Taiwan, Republic of China

    Zong-Cian He

  4. Department and Institute of Electronic Engineering, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin, 64002, Taiwan, Republic of China

    Ya-Hsin Hsueh

Authors
  1. Chien-Chih Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zong-Cian He
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ya-Hsin Hsueh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ya-Hsin Hsueh.

Additional information

This research was partially supported by National Science Council under grant NSC 97-2221-E-224-055.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, CC., He, ZC. & Hsueh, YH. An EMG Feedback Control Functional Electrical Stimulation Cycling System. J Sign Process Syst 64, 195–203 (2011). https://doi.org/10.1007/s11265-009-0425-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11265-009-0425-5

Keywords

Search

Navigation