Mitigating Mismatch Compression in Differential Local Field Potentials

Autor:	Tiruvadi, Vineet, James, Sam, Howell, Bryan, Obatusin, Mosadoluwa, Crowell, Andrea, Riva-Posse, Patricio, Choi, Ki Sueng, Waters, Allison, Gross, Robert E., McIntyre, Cameron C., Mayberg, Helen S., Butera, Robert
Rok vydání:	2022
Předmět:	Electrical Engineering and Systems Science - Signal Processing Quantitative Biology - Neurons and Cognition
Druh dokumentu:	Working Paper
DOI:	10.1109/TNSRE.2022.3217469
Popis:	Bidirectional deep brain stimulation (bdDBS) devices capable of recording differential local field potentials (dLFP) enable neural recordings alongside clinical therapy. Efforts to identify objective signals of various brain disorders, or disease readouts, are challenging in dLFP, especially during active DBS. In this report we identified, characterized, and mitigated a major source of distortion in dLFP that we introduce as mismatch compression (MC). MC occurs secondary to impedance mismatches across the dLFP channel resulting in incomplete rejection of artifacts and downstream amplifier gain compression. Using in silico and in vitro models we demonstrate that MC accounts for impedance-related distortions sensitive to DBS amplitude. We then use these models to develop and validate a mitigation strategy for MC that is provided as an opensource library for more reliable oscillatory disease readouts. Comment: 9 pages, 9 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2204.03778 Zobrazit plný text záznamu View this record from Arxiv