A new algorithm for drift compensation in multi-unit recordings of action potentials in peripheral autonomic nerves over time.
Catherine E Davey, Artemio Soto-Breceda, Anthony Shafton, Robin M McAllen, John B Furness, David B Grayden, Martin J Stebbing
Journal of Neuroscience Methods | Elsevier | Published : 2020
BACKGROUND: Peripheral autonomic nerves control visceral organs and convey information regarding their functional states and are, therefore, potential targets for new therapeutic and diagnostic approaches. Conventionally recorded multi-unit nerve activity in vivo undergoes slow differential drift of signal and noise amplitudes, making accurate monitoring of nerve activity for more than tens of minutes problematic. NEW METHOD: We describe an on-line drift compensation algorithm that utilizes recursive least-squares to estimate the relative change in spike amplitude due to changes in the nerve-electrode interface over time. RESULTS: We tested and refined our approach using simulated data and i..View full abstract
Awarded by Defense Advanced Research Projects Agency (DARPA)BTO, USA through the Space and Naval Warfare Systems Center
This work was funded by the Defense Advanced Research Projects Agency (DARPA)BTO, USA, under the auspices of Dr. Doug Weber and Dr. Eric Van Gieson through the Space and Naval Warfare Systems Center(Contract No. N66001-15-2-4060). The Florey Institute of Neuroscience and Mental Health acknowledges the support received from the Victorian Government, Australia, through its Operational Infrastructural Support Program.