Synchronizing Microelectrode and Electronic Goniometer Data from Multiple Sources Using a Pseudo-random Binary Signal Tyler Moore BS, Rennie Jacobs MHS, LOTR., Alexander Yang BS, Erich Richter MD Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA

Presentation Outline Background and Objective Pseudo-random Binary Signals ClockSynch Questions

Background The subthalamic nucleus (STN) is a common target in deep brain stimulation (DBS) procedures for movement disorders. Ascertaining the somatotopic map of the STN requires: – Microelectrode recordings – Electrode position – Joint velocity

Background Electronic goniometers Continuously measure joint angle Compatible goniometers are cost prohibitive Affordable goniometers use a separate software clock

Data Acquisition Board Goniometer Hub Goniometer Hub Research Computer Research Computer

Pseudo-random Binary Signal Goniometers Patient Electrodes Goniometer Software Electrode Software Pseudo-random Binary Signals

Patient PASCO Powerlink DAQ Board LSU Neurosurgery PC ClockSynch PASCO Digital Adapter PASCO Goniometers Alpha-Omega PC Electrodes Electrode Motor Splitters Motor Control Electrode Depth (TCP) Neural Analog Signal Biometric Analog Signal USB Connection Binary Signal

ClockSynch Custom software designed within the Department of Neurosurgery Utilizes the DAQ Board to: – Collect analog data from electrodes – Output a pseudo-random binary pulse to PASCO software Utilizes a TCP connection to collect digital electrode depth from the Alpha-Omega system

ClockSynch

Pseudo-random Binary Signals

Conclusions Pseudo-random Binary Signals have been used to sychronize data from 8 DBS procedures The dilemma of independent software clocks can arise in situations involving disparate sets of instrumentation This method is generalizable for synchronizing any number of independent research clocks