With our mathematical toolset we can recognize patterns, signals, lost in noise.
An Example
Neural and Hybrid Computing Laboratory (NHC)
Department of Biomedical Engineering
University of Florida
Faculty Adviser - Thomas DeMarse
Detecting Eye Movements Using A Brain Machine Interface
Summary:
Work performed included mathematical modeling for recognizing patterns in electrical activity that was recorded from the eyes using an Electro-Oculography Brain Machine Interface (EOG BMI). Specifically:
- Tucker Davis Technologies Inc. Medusa Preamp was used to record EOG signals.
- A BiQuad filter was used to eliminate certain frequences from raw data.
- Discrete Fourier Transform (DFT) and interpolation was used to generate a smooth signal.
Raw data including noise
Clear signal excluding noise
