fig15

Morphological analysis and multimodal deep learning for impedance cardiography feature localization and hemodynamic parameter estimation

Figure 15. Effect of PCG information on the beat-level parameter estimation performance of the deep learning model. (A and B) correspond to DL + PCG and DL w/o PCG, respectively. Each configuration is evaluated on n = 61 valid test beats. Each dot represents an individual beat; the width of the half violin indicates the kernel density distribution of MAPE values, the horizontal line represents the median, and the diamond indicates the mean.

The Journal of Cardiovascular Aging

Portico

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Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/