Table 4 ECG features shown experimentally to indicate stress [29]
From: Medically-oriented design for explainable AI for stress prediction from physiological measurements
Physiological feature | Range for no stress | Range for stress | p Value |
|---|---|---|---|
\(\mu _{NN}(ms)\) | 788\(\pm\) 126 | 642\(\pm\) 96 | 0.005 |
\(\mu _{HR}(BPM)\) | 78.45\(\pm\) 12.38 | 95.54\(\pm\) 13.69 | 0.005 |
\(\sigma _{HR}(BPM)\) | 6.43\(\pm\) 1.15 | 10.48\(\pm\) 3.88 | 0.001 |
\(RMSSD_{HRV}(s)\) | 0.04\(\pm\) 0.02 | 0.03\(\pm\) 0.01 | 0.018 |
\(pNN50_{HRV}(s)\)) | 22.89\(\pm\) 19.44 | 7.35\(\pm\) 4.98 | 0.043 |