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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Robust Detection of Systolic Peaks in Arterial Blood Pressure Signal
verfasst von : Tomasz Pander, Robert Czabański, Tomasz Przybyła, Stanisław Pietraszek, Michał Jeżewski
Erschienen in: Artificial Intelligence and Soft Computing
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Abstract
The heart rate signal is one of the most important physiological signals characterizing the human heart. The heart bits are usually determined on the basis of the electrocardiographic (ECG) signal. However, they can be also detected by monitoring systolic peaks in a arterial blood pressure (ABP) signal. The pressure signal, as other physiological signals, may be disturbed with noise. In this work we propose the method of precise location of the systolic peaks in ABP signal in the presence of noise, by applying the detection function waveform and fuzzy clustering. The new method is tested using real signals from the MIT-BIH Polysomnographic Database. The results obtained during experiments show the high effectiveness of the proposed method in relation to reference methods.