Table 4 Results of similar methods are shown for the development of a decision-making model.

From: Medical intelligence using PPG signals and hybrid learning at the edge to detect fatigue in physical activities

Model

Accuracy (%)

Recall (%)

Precision (%)

MAE

RMSE

Xception

85.6

81

84.5

2.431

3.674

ResNetCNN

87.2

84

87.6

2.326

3.449

LSTM

86.4

83

85.8

2.414

3.563

Xception with BILSTM

90.3

89

89.4

2.069

3.223

ResNetCNN with BILSTM

91.5

89.5

89.7

2.012

3.019

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