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Feasibility of using an Extended Kalman Filter for Motion Estimation based on Electrical Bioimpedance Sensing

Year: 2022

Type: preprint

Abstract: Patch-clamp is a widely used technique to record the electrophysiological activity of neurons in vivo. However, establishing and maintaining a long-term stable recording is difficult due to neuronal motion induced by physiological motion. This abstract proposes an Extended Kalman Filter (EKF) method for motion estimation based on Electrical Bioimpedance (EBI) sensing. The results show that with EBI, the EKF could estimate the motion with high precision (RMSE = 0.022V) and robustness (STD = 0.0028V) in real-time.

DOI: 10.36227/techrxiv.21590583

Authors: Yao Zhang, Kaat Van Assche, Mouloud Ourak, Eric Verschooten, Gianni Borghesan, Kenan Niu, Philip Joris, Emmanuel Vander Poorten

Language: English

Topic: Neuroscience and Neural Engineering

Subfield: Cellular and Molecular Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

OpenAlex ID: W4310146371

Cites: 6

Cited by:

Related to: 10