Removal of Pulse Waveform Baseline Drift Using Cubic Spline Interpolation

摘要：

Objective: Baseline drift of pulse waveform caused by breathing and physical movement needs to be removed in pulse wave detection process. This paper presents a removal method of pulse waveform baseline drift using cubic spline interpolation. Methods: Starting points of pulse waveform are selected to be the spline interpolation point. And cubic spline interpolation according to the starting points is used to fit the baseline drift. Subsequently, pulse waveform of baseline drift removed is obtained by pulse wave data minus the corresponding baseline drift values. Results: Pulse waveforms after removing baseline drift are stable and have a minor relative error. Conclusion: The actual measurement results show that the method can inhibit the baseline drift effectively. The method and can be well applied in real-time detection of pulse wave.

作者: Lin Yang Song Zhang Xiaoyang Li Yimin Yang

作者单位: Beijing University of Technology, BJUT Beijing, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）