The present invention relates to a technical framework for reducing artificial motion noises of physiological signal and a method thereof. Specially, it is a structure method that applies an adaptive filter technique to reduce the noises generated by human bodys artificial motion coupled with the physiological signal, and uses a tri-axial-accelerameter to record the signal of human bodys artificial motion as a reference signal source. Additionally, this method adopts a least-mean square (LMS) algorithm, and this LMS algorithm is applied to the single-chip microcontroller to effectively reduce the artificial motion noises that are easily coupled while measuring the physiological signal. By this design, the present invention can promote the accuracy of an overall physiological monitoring and the testees use safety.一種去除生理訊號的晃動雜訊技術之架構及其方法,特別係指一種應用適應性濾波技術的結構方法,以去除因人體晃動所產生耦合於生理訊號中的雜訊,且利用三軸加速規記錄身體晃動的訊號作為參考訊號源,並採用最小均方的演算法,將此演算法應用於權值調整裝置中,可以有效的去除生理訊號測量時最容易耦合的晃動雜訊,透過本發明之設計,進而提升整體生理監測的準確性,以提高受測對象的使用安全性。1‧‧‧放大器模組11‧‧‧輸入放大器12‧‧‧訊號放大器13‧‧‧輸出濾波器2‧‧‧類比數位轉換器3‧‧‧乘法器4‧‧‧權值調整裝置5‧‧‧減法器6‧‧‧加法器7‧‧‧有效生理監視圖A‧‧‧第一訊號接收器B‧‧‧第二訊號接收器
