Research Article
Classification of Mental Stress Using CNN-LSTM Algorithms with Electrocardiogram Signals
Table 2
Classification performance assessment of stress signals in time and frequency domains.
| | Time domain | | Stress | Precision | Sensitivity | Specificity | Negative predictive value | Accuracy |
| | Performance (%) | 93.1% | 96.4% | 93.3% | 96.6% | 94.8% | | Error (%) | 6.9% | 3.6% | 6.7% | 3.4% | 5.2% |
| | Frequency domain | | Stress | Precision | Sensitivity | Specificity | Negative predictive value | Accuracy |
| | Performance (%) | 96.6% | 100% | 96.7% | 100% | 98.3% | | Error (%) | 3.4% | 0.0% | 3.3% | 0.0% | 1.7% |
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