A spline adaptive method for eliminating power frequency interference in surface electromyography signals

A spline adaptive filtering system was constructed using a robust frequency domain implementation method, which solved the problems of nonlinearity and high computational complexity of power frequency interference in surface electromyography signals, and achieved efficient and stable noise cancellation.

CN116415111BActive Publication Date: 2026-06-30NAT UNIV OF DEFENSE TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NAT UNIV OF DEFENSE TECH
Filing Date
2023-04-13
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing adaptive filtering algorithms suffer from nonlinearity and high computational complexity when eliminating power frequency interference in surface electromyography signals, making it difficult to effectively handle nonlinear noise.

Method used

A robust frequency domain implementation method is used to construct a spline adaptive filtering system. Through frequency domain input vector generation, frequency domain spline adaptive filtering, semi-quadratic criterion cost function, and filter coefficient update, the system achieves adaptive elimination of power frequency interference in electromyography signals.

Benefits of technology

It reduces the computational complexity of filtering and adaptive processes, improves the efficiency and stability of noise cancellation, and can efficiently eliminate power frequency interference in electromyographic signals.

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Abstract

This invention discloses a spline-adaptive method for eliminating power frequency interference in surface electromyography (EMG) signals, within the field of EMG signal noise reduction technology. The method includes the following steps: frequency domain input vector generation and frequency domain spline adaptive filtering; power frequency interference elimination; construction of a semi-quadratic criterion cost function and filter coefficient update; iterative update, repeating the above steps until noise reduction is complete. This spline-adaptive method for eliminating power frequency interference in EMG signals employs a robust frequency domain implementation method to construct the spline adaptive noise reduction system, exhibiting good stability, high computational efficiency, and the ability to efficiently eliminate power frequency interference.
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