An online censoring (OC) based weighted-frequency Fourier linear combiner (OC-WFLC) adaptive filtering structure is proposed to reduce data processing costs in the estimation of pathological hand tremor (PHT) measurements. The proposed OC-WFLC is combined with the Fourier linear combiner (FLC) to effectively separate the PHT and voluntary movement from the hand tremor signal. The OC-WFLC is shown to adaptively extract the most informative frequency information, that is readily employed within the FLC to adaptively decompose the measurement signal into its PHT and voluntary movement components. The utilization of the OC strategy in the proposed framework is shown to significantly reduce data processing costs without adverse effects on the performance. Simulation results on real-world PHT data demonstrate the ability of the proposed OC-WFLC to yield a dramatic reduction of the processing time, a prerequisite for real-time rehabilitative, wearable, and assistive technology designed for PHT patients.

中文翻译：

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基于在线审查的加权频率傅立叶线性组合器用于估计病理性手部震颤

提出了一种基于在线删失 (OC) 的加权频率傅里叶线性组合器 (OC-WFLC) 自适应滤波结构，以减少病理性手颤 (PHT) 测量估计中的数据处理成本。所提出的 OC-WFLC 与傅立叶线性组合器 (FLC) 相结合，可以有效地将 PHT 和随意运动与手部颤抖信号分离。OC-WFLC 被证明可以自适应地提取信息量最大的频率信息，这些信息很容易在 FLC 中使用，以自适应地将测量信号分解为其 PHT 和随意运动分量。在所提出的框架中使用 OC 策略被证明可以显着降低数据处理成本，而不会对性能产生不利影响。