• DocumentCode
    3421826
  • Title

    Comparison of three ENG tripolar cuff recording configurations

  • Author

    Triantis, I.F. ; Demosthenous, A. ; Donaldson, N.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. Coll. London, UK
  • fYear
    2003
  • fDate
    20-22 March 2003
  • Firstpage
    364
  • Lastpage
    367
  • Abstract
    Cuff electrodes are a safe and reliable technique for long-term recording of the electroneurogram (ENG) from peripheral nerves. However, the usefulness of the recorded ENG depends on the amount of electromyogram (EMG) and stimulus artifact present. Interference cancellation may be offered by tripolar cuff recording configurations, such as the quasi-tripole (QT) and the true-tripole (TT), but in practice their performance is severely degraded by cuff imbalance. The adaptive-tripole (AT) has been developed to compensate for possible cuff imbalance and hence minimize the interference pick-up on the recorded ENG. In this paper, the signal-to-interference ratios of the three tripolar cuff recording configurations are compared in-vivo in the presence of cuff imbalance. The results of the experiments, which were conducted using stimulation-induced signals, indicate that even though two different imbalances were present, the AT outperforms the other two configurations in the majority of cases.
  • Keywords
    bioelectric potentials; biomedical electrodes; electromyography; neurophysiology; prosthetics; ENG tripolar cuff recording configurations; adaptive-tripole; cuff electrodes; cuff imbalance; electromyogram; electroneurogram; in-vivo; interference cancellation; interference pick-up; long-term recording; neuroprostheses; peripheral nerves; quasi-tripole; signal-to-interference ratios; stimulation-induced signals; stimulus artifact; true-tripole; Biomedical electrodes; Biomedical engineering; Degradation; Differential amplifiers; Educational institutions; Electromyography; Filtering; Insulation; Interference cancellation; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
  • Print_ISBN
    0-7803-7579-3
  • Type

    conf

  • DOI
    10.1109/CNE.2003.1196836
  • Filename
    1196836