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Table 5 The four feature combinations

From: Predicting blood pressure from physiological index data using the SVR algorithm

Number Combination Reason
1 PTT, HR, PPG, aVF, aVR, aVL, I, II, III, SpO2 Use all the features
2 PTT, HR, PPG, aVF, SpO2 Because of a significant correlation between the fourth feature (aVF) and the fifth and sixth features (III, II) of 0.9778 and 0.9808, respectively, the fifth selected feature is SpO2, which is ranked seventh and is not correlated with the first four features.
3 PTT, HR, PPG, aVF Select the 4 features with the highest dependence on the target value.
4 PTT, HR, PPG Select the 3 features with the highest dependence on the target value.