Study on the Algorithm of Removing Burr and Baseline Drift in Oscillating Pulse Wave

At present, more than 90% of the electronic blood-pressure meter on the market are using the oscillation method for blood pressure measurement. The key step of the oscillatory blood pressure measurement is to pretreat the original signal of the oscillating pulse wave. In this paper, the algorithm of...

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Bibliographic Details
Published in2017 10th International Conference on Intelligent Computation Technology and Automation (ICICTA) pp. 62 - 65
Main Authors Zhang Xiaodong, Pu Baoming
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Biomedical monitoring
Blood pressure
Filtering
Mathematical Morphology
Oscillators
Oscillatory Pulse Wave
Pollution measurement
Pressure measurement
Sliding Mean Filtering
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Summary:At present, more than 90% of the electronic blood-pressure meter on the market are using the oscillation method for blood pressure measurement. The key step of the oscillatory blood pressure measurement is to pretreat the original signal of the oscillating pulse wave. In this paper, the algorithm of sliding mean filtering and mathematical morphology is proposed to eliminate the burr and baseline drift, and the ideal pre-processing effect is achieved according to the shortcomings of the current preprocessing method. At the same time, compared with the previous pre-processing algorithm, the method mentioned in this paper greatly reduces the computational complexity and improves the real-time performance. Experiments show that the method proposed in this paper can effectively remove the burr and baseline drift in the oscillating pulse wave and can be used to pre-process the original oscillating pulse wave.
DOI:10.1109/ICICTA.2017.21