This technology is a novel algorithm that can significantly remove stimulation artifacts (SA) from electrophysiological recording devices used for neuroscience research and/or clinical therapeutics.
Electrical stimulation of nervous tissue and its combined use with electrophysiological recordings have been successfully used for clinical diagnosis, treatment of neurological disorders, and restoration of sensory and motor function. However, there is no effective solution to remove SA during the time of stimulation. The presented technology provides a more powerful way to reduce SA than previous approaches such as blanking, frequency domain filtering, and template subtraction.
Researchers at the University of California, San Francisco have developed a robust algorithm which can be used in clinical devices combining stimulation with simultaneous recordings to filter out the electrical SA and then allow better detection of biological signals. This technology doesn’t require the SA to be temporally or spectrally distinct from the signal only that electrical recordings are made across multiple electrodes.
Proof of Concept
Under CDA/NDA; tested in an animal model of a bidirectional neuroprosthesis