Method for deriving respiratory signal from ECG signal based on adaptive filtering

    XI Tao, YANG Guoª²Sheng, TANG Chi, JIAO Teng

    Department of Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xi¬ðan 710033, China

    ¡¾Abstract¡¿ AIM: To design a new method to extract the respiratory signal from the ECG signal by adaptive filtering based on the recursive leastª²square (RLS) algorithm. METHODS: After processing the ECG signal, we selected the Rª²wave amplitude sequence and the Rª²R interval sequence as the primary input and the reference input of the adaptive filter based on the recursive leastª²square (RLS) algorithm to estimate the respiratory signal. RESULTS: The estimated respiratory signal obtained by the adaptive filter showed well pertinence in time domain and frequency domain to the real respiratory signal. CONCLUSION: The method for deriving respiratory signal from ECG signal based on the adaptive filtering is well designed and the result is reliable. It is a highly efficient, nonª²invasive and lowª²cost approach for the respiration detection. ......