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Synchronizing microelectrode and electronic goniometer data using a pseudo-random binary signal.

Tyler Robert Moore1, Rennie Underwood Jacobs, Alexander Cheung Yang

  • 1Department of Neurosurgery and Department of Cell Biology and Anatomy, Louisiana State University Health Sciences Center , New Orleans, Louisiana , USA.

Journal of Medical Engineering & Technology
|April 4, 2013
PubMed
Summary
This summary is machine-generated.

A novel method synchronizes data from multiple instruments during deep brain stimulation (DBS) surgery. This cost-effective approach enables accurate intra-operative analysis of the subthalamic nucleus (STN) by reconciling disparate data streams.

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Area of Science:

  • Neurosurgery
  • Biomedical Engineering
  • Medical Instrumentation

Background:

  • Intra-operative investigation of the subthalamic nucleus (STN) during deep brain stimulation (DBS) necessitates synchronized measurement of microelectrode voltage, electrode depth, and joint movement.
  • Existing commercial solutions are expensive and often involve data from incompatible instruments recorded on disparate clocks, hindering quantitative analysis.
  • The lack of chronological synchronization between different measurement devices impedes precise intra-operative data interpretation in DBS procedures.

Purpose of the Study:

  • To develop a cost-effective method for chronologically reconciling data from disparate instruments used in intra-operative STN investigation during DBS surgery.
  • To enable quantitative analysis of microelectrode voltage and joint position by integrating data collected on incompatible systems.

Main Methods:

  • A custom program was developed to collect microelectrode data while simultaneously transmitting a pseudo-random binary signal to instruments measuring joint movement.
  • This pseudo-random binary signal, recorded by all instruments, serves as a common time reference for chronological reconciliation.
  • The 'ClockSynch' method was implemented and tested in 15 DBS procedures.

Main Results:

  • The custom program successfully collected microelectrode data and synchronized it with joint movement data using the pseudo-random binary signal.
  • Chronological reconciliation of microelectrode voltage and joint position was achieved, allowing data to be expressed within a single time frame.
  • The implemented method, 'ClockSynch', proved effective in integrating disparate instrumentation systems.

Conclusions:

  • A pseudo-random binary signal effectively integrates data from multiple, incompatible instrumentation systems used in DBS surgery.
  • This custom synchronization method significantly decreases the cost associated with intra-operative data collection and analysis.
  • The developed technique enables accurate, quantitative analysis of STN investigation data during DBS procedures.