Hardware Considerations of a Spatial Filter for Decorrelating High-density Multielectrode Neural Recordings

High density implantable microelectrode arrays record large amounts of highly correlated data, which causes large strains on limited bandwidth telemetry systems. Previous work has shown that the use of a spatial filter can significantly reduce the number of channels that must be transmitted to adequately represent the data. However, the limitations on power and size for an implantable neuroprosthetic device impose significant limitations on the computational complexity of the spatial filter. We assess the performance of the floating point operations of spatial filtering and show that it can be approximated to integers with negligible losses to signal fidelity, thus reducing the computational complexity