Enhancing oscillations in intracranial electrophysiological recordings with data-driven spatial filters

Citations in the corpus

A supervised data-driven spatial filter denoising method for speech artifacts in intracranial electrophysiological recordings (2023, unknown): “As such, traditional re-referencing schemes used in neurophysiology, like bipolar, Laplacian, or common average reference (CAR), can be reframed as spatial filtering approaches, in which the recorded brain signals are multiplied by a predefined matrix that references the recording of one electrode…”