Boron-Doped Diamond Signal Processing

Recent advances in closed loop deep brain stimulation (DBS) technologies lean in favor of enhanced sensitivity and increased stimulation electrode detection limits. There are two primary methods of improvement: hardware and software. This work focuses on the software approach for increasing the sensitivity of the electrodes. The signal processing technique employed consists of three primary approaches: background subtraction, noise reduction, and analyte specification. Background subtraction is used to maximize the signal-to-noise ratio without degrading the signal in the process. Noise reduction is then applied to clean the resulting voltammogram series, further enhancing the signal response for the analyte. Lastly, analyte specification is applied allowing the algorithm to isolate and extract as much of the processed signal as possible. The final result is an order of magnitude increase in the limit of detection for fast scan cyclic voltammetry deep brain stimulation electrodes.