一种基于自适应滤波的实时自主运动提取方法

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI:10.20965/jaciii.2023.p0372

Mingyuan Xie, Jinhua She, Zhen-Tao Liu, Zhaohui Yang

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引用次数: 0

摘要

震颤是几种中枢和周围神经系统疾病的症状，如帕金森病(PD)。外骨骼已被研究作为药物和手术的非侵入性震颤抑制替代品。肌肉骨骼震颤抑制的挑战是在不妨碍患者自主运动的情况下衰减震颤运动。线性低通滤波器(lpf)通常用于震颤去除。本研究提出了一种基于自适应滤波器的替代方法。我们比较了lpf和自适应滤波器对在线数据库中记录的加速度信号的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Real-Time Voluntary Motion Extraction Method Based on an Adaptive Filter

Tremors are a symptom of several disorders of the central and peripheral nervous systems, such as Parkinson’s disease (PD). Exoskeletons have been investigated as noninvasive tremor suppression alternatives to medication and surgery. The challenge in musculoskeletal tremor suppression is attenuation of tremor motion without impeding the patient’s voluntary motion. Linear low-pass filters (LPFs) are commonly used for tremor removal. This study presents an alternative method based on an adaptive filter. We compare the effectiveness of the LPFs and adaptive filter on the recorded acceleration signals from an online database.

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来源期刊

Journal of Advanced Computational Intelligence and Intelligent Informatics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

1.50

自引率

14.30%

发文量

期刊介绍： JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.