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Comparison of the Decoding Effects of Different LFP Signals in Continuous Reconstruction of Unidimensional Limb Trajectory

Published: 27 February 2024 Publication History

Abstract

Continuous decoding of gait through EEG signals is one of the important applications of brain-computer interface tech-nology, and it is also of great significance to applications such as smart prostheses. The local field potential (LFP) signal has become the mainstream research direction because of its important motional information contained. To achieve good effects on decoding motional signals of the rat's knee, we applied Short-Time Fourier Transform (STFT) feature extraction method to reduce data di-mensions instead of decoding raw LFP signals by SVM. To further improve the reconstruction effect and explore decoding mecha-nism, processed LFP signals are divided into different frequency sections, and the significance of different signals for the recon-struction of motion trajectory is verified. We chose the correlation coefficient (r) between predicted and real signal as a standard, and the result shows that raw LFP data presents r of 0.01208, while using of STFT improve it to 0.33779. By using finer frequency band signals, we found that low frequency delta shows r of 0.44215 while high frequency high gamma shows r of 0.19299 In conclusion, a time-space feature extraction can improve decoding effect lower limb motions, and the lowest frequency data shows better per-formance than higher frequency LFP data.

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  1. Comparison of the Decoding Effects of Different LFP Signals in Continuous Reconstruction of Unidimensional Limb Trajectory

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    ICBRA '23: Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications
    September 2023
    226 pages
    ISBN:9798400708152
    DOI:10.1145/3632047
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 27 February 2024

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    Author Tags

    1. BCI
    2. LFP
    3. continuous decoding
    4. frequency bands
    5. gait analysis

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    • Ningbo Key Technology Research and Development Program under Grant
    • Zhejiang Lab Open Research Project

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    ICBRA 2023

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