Key result
The two-stage particle swarm optimizer (TSPSO) achieved the best fitting accuracy for carotid and radial artery pressure waveforms with a mean absolute error of 1.1% and 1.0%, respectively.
Absolute Event Rate: 1.1% vs 4.2%
The novel TSPSO algorithm significantly improves the fitting accuracy and computational efficiency of modelling arterial pressure waveforms compared to existing optimization methods.
TSPSO improves arterial waveform decomposition accuracy; leaves open its value for cardiovascular risk stratification.
Changes of arterial pressure waveform characteristics have been accepted as risk indicators of cardiovascular diseases. Waveform modelling using Gaussian functions has been used to decompose arterial pressure pulses into different numbers of subwaves and hence quantify waveform characteristics. However, the fitting accuracy and computation efficiency of current modelling approaches need to be improved. This study aimed to develop a novel two-stage particle swarm optimizer (TSPSO) to determine optimal parameters of Gaussian functions. The evaluation was performed on carotid and radial artery pressure waveforms (CAPW and RAPW) which were simultaneously recorded from twenty normal volunteers. The fitting accuracy and calculation efficiency of our TSPSO were compared with three published optimization methods: the Nelder-Mead, the modified PSO (MPSO), and the dynamic multiswarm particle swarm optimizer (DMS-PSO). The results showed that TSPSO achieved the best fitting accuracy with a mean absolute error (MAE) of 1.1% for CAPW and 1.0% for RAPW, in comparison with 4.2% and 4.1% for Nelder-Mead, 2.0% and 1.9% for MPSO, and 1.2% and 1.1% for DMS-PSO. In addition, to achieve target MAE of 2.0%, the computation time of TSPSO was only 1.5 s, which was only 20% and 30% of that for MPSO and DMS-PSO, respectively.
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Zhuang et al. (2014) studied Healthy volunteers (n=20). Two-stage particle swarm optimizer (TSPSO) vs. Nelder-Mead, modified PSO (MPSO), and dynamic multiswarm particle swarm optimizer (DMS-PSO) was evaluated on Fitting accuracy (mean absolute error, MAE) for carotid and radial artery pressure waveforms. The two-stage particle swarm optimizer (TSPSO) achieved the best fitting accuracy for carotid and radial artery pressure waveforms with a mean absolute error of 1.1% and 1.0%, respectively.
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