Abstract/Description: This study investigates the dynamics of sensorimotor rhythms within non-invasive brain-computer interface (BCI) environments. Inspired by advancements in neural signal processing, this research utilizes open-source telemetry to characterize how specific signal variances correlate with intentional thought sequences. The project demonstrates an analytical approach to interpreting neural data in consumer-grade BCI, providing insights into the efficiency of non-invasive signal interpretation. This work serves as an exploration of the feasibility and limitations of current open-source neurotechnology.