Key result
Algorithms based on interpolating techniques introduced the least error with 16-bit data, while least-squares data fit methods performed best on less accurate 8-bit data.
The optimal digital differentiation algorithm for computing the derivative of left ventricular pressure depends on the quantization noise level, with interpolating techniques better for 16-bit data and least-squares methods better for 8-bit data.
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Match algorithm to bit depth for minimal LV pressure derivative error; leaves open clinical validation in patient waveforms.
Marble et al. (1981) studied this question. Digital differentiation algorithms vs. Alternative algorithms was evaluated on rms error between a model derivative of the left ventricular pressure waveform and the approximate results of each algorithm. Algorithms based on interpolating techniques introduced the least error with 16-bit data, while least-squares data fit methods performed best on less accurate 8-bit data.
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