fig9

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

Figure 9. Confusion matrices of ICG morphology classification results under different clustering schemes in the HeartCycle dataset. All confusion matrices are generated from the test set with n = 382 beat segments, and the values in each cell represent the number of samples assigned to the corresponding category. (A) Binary classification. (B) Three-class classification. (C) Four-class classification. (D) Five-class classification.

The Journal of Cardiovascular Aging

Portico

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Portico

All published articles are preserved here permanently:

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