Key result
Modified morphological filter and slope sum function achieves ~97% true detection of pulse peaks.
Why the study?
Accurate pulse peak determination in digital volume pulse waveforms with a wandering baseline is challenging and existing methods have limitations.
Does a modified morphological filter with a slope sum function improve pulse peak determination in digital volume pulse waveforms compared to conventional methods?
Population
Digital volume pulse waveforms with a wandering baseline
Comparison
Modified morphological filter and slope sum function with adaptive thresholding vs conventional methods
Design
Method development and performance comparison study
Authors
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May enhance DVP peak detection amid baseline wander; leaves open clinical validation before device integration.
Does a modified morphological filter with a slope sum function improve pulse peak determination in digital volume pulse waveforms compared to conventional methods?
The proposed algorithm provides a highly accurate and computationally efficient method for pulse peak detection in DVP waveforms, which is useful for pulse transit time and pulse rate variability analyses.
Jang et al. (2014) studied Digital volume pulse (DVP) waveform analysis. Modified morphological filter (MMF) and slope sum function (SSF) with adaptive thresholding vs. Conventional methods (highpass filtering, linear interpolation, cubic spline interpolation, and wavelet adaptive filtering) was evaluated on True detection rate. A proposed method using a modified morphological filter and slope sum function achieved a true detection rate of 97.32% and a normalized error rate of 0.18% for pulse peak determination.
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