Research Article
Prediction of BP Reactivity to Talking Using Hybrid Soft Computing Approaches
Table 10
Comparison of results with other studies.
| Ref. | Model developed | Predicted parameter | Remarks |
| [33] | FIR and ANFIS | Mean BP and AEP during anaesthesia | No significant difference between the results of two models | [34] | ANN and multiple linear regression (MLR) | SBP | ANN outperformed MLR | [35] | RS-SVM | BP | Training rapidity and accuracy of the RS-SVM model are both evidently improved | [36] | PCA-ANFIS, conventional maximum amplitude algorithm | SBP and DBP | PCA-ANFIS outperformed | [37] | FIS | Effect of aerobic exercise on BP | Preliminary validation results of the performance of the FIS are promising | Our study | PCA-LS-SVM, PCA-ANN, and PCA-ANFIS | SBP, DBP, and MAP | PCA-LS-SVM outperformed PCA-ANN and PCA-ANFIS |
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