• DocumentCode
    3011280
  • Title

    Comparison of Phase-Coupling Indices for Tremor

  • Author

    Kim, Sunghan ; McNames, James ; Burchiel, Kim

  • Author_Institution
    Biomedical Signal Process. Lab., Portland State Univ., OR
  • fYear
    2005
  • fDate
    16-19 March 2005
  • Firstpage
    348
  • Lastpage
    351
  • Abstract
    Tremor can be a severely disabling symptom. It occurs in patients with many movement disorders including Parkinson´s disease (PD) and essential tremor (ET). Physical tremor can be measured with a variety of instruments including electromyograms (EMG) and accelerometers. Neural tremor can be measured by microelectrodes placed near nerve cells or obtained from brain cells during stereotactic neurosurgery. Recent studies have demonstrated that tremor activity measured from two distinct signals, possibly from different types of sensors, may be uncoupled even when the dominant frequency of the tremor is the same in both signals. The coupling between signals may also change over time. Several measures of phase coupling have been proposed in previous studies. We describe the results of a simulation study to assess the reliability and inverse variability of three popular phase-coupling indices and an index based on the correlation coefficient of the instantaneous frequency (IF) signals. The results of our study demonstrate that the common-mean correlation coefficient of the IF signals is the most accurate measure of phase coupling and has many desirable properties not shared by the other indices
  • Keywords
    accelerometers; biomechanics; brain; cellular biophysics; diseases; electromyography; microelectrodes; neurophysiology; surgery; Parkinson disease; accelerometers; brain cells; common-mean correlation coefficient; electromyograms; essential tremor; instantaneous frequency signals; inverse variability; microelectrodes; movement disorders; nerve cells; neural tremor; phase-coupling indices; stereotactic neurosurgery; Accelerometers; Biomedical measurements; Brain modeling; Electromyography; Frequency; Instruments; Parkinson´s disease; Phase measurement; Signal generators; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-8710-4
  • Type

    conf

  • DOI
    10.1109/CNE.2005.1419629
  • Filename
    1419629