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Polymer nanofiber network reinforced gold electrode array for neural activity recording
Siting Yang,Ke Xu,Shouliang Guan,Liang Zou,Lei Gao,Jinfen Wang,Huihui Tian,Hui Li,Ying Fang,Hongbian Li 대한의용생체공학회 2023 Biomedical Engineering Letters (BMEL) Vol.13 No.2
Flexible and stretchable neural electrodes are promising tools for high-fidelity interfacing with soft and curvilinear brainsurface. Here, we describe a flexible and stretchable neural electrode array that consists of polyacrylonitrile (PAN) nanofibernetwork reinforced gold (Au) film electrodes. Under stretching, the interweaving PAN nanofibers effectively terminate theformation of propagating cracks in the Au films and thus enable the formation of a dynamically stable electrode-tissue interface. Moreover, the PAN nanofibers increase the surface roughness and active surface areas of the Au electrodes, leading toreduced electrochemical impedance and improved signal-to-noise ratio. As a result, PAN nanofiber network reinforced Auelectrode arrays can allow for reliable in vivo multichannel recording of epileptiform activities in rats.
Nonparametric Identification of Linear Dynamic Output-errors Systems
Qing Sun,Siting Zou,Dajun Du,Minrui Fei 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.12
This paper deals with the nonparametric identification of linear dynamic systems within an output-error framework. In the system, the input is an arbitrate signal cover a broad enough frequency band, while the output is disturbed by a filtered white noise with unknown variance. Since the full maximum likelihood method used in the frequency domain causes calculation complexity, this paper develops a nonparametric method to cope with the complexity. According to the property that the frequency response function and the system leakage term can be locally approximated very well via a low-order degree polynomial, a frequency domain estimator is developed, which can obtain the estimates for the frequency response function and the output noise variance. Finally, the parameters identification results for one real model can validate the effectiveness of the new proposed nonparametric method.