Table 3.
T test was conducted to verify if the MAE of the recalibration is statistically different from that of uncalibrated condition, and to argue that the recalibrated wrist monitor can effectively predict the BP. It was tested for both arm and wrist BP
Deep Neural Networks | Linear regression | |||||||
---|---|---|---|---|---|---|---|---|
t | p value | lower CI | upper CI | t | p value | lower CI | upper CI | |
Arm calibration(Systolic) | 2.817 | 0.024 | 6.657 | −0.073 | 2.912 | 0.016 | 9.179 | 7.647 |
Arm calibration(Diastolic) | 2.332 | 0.031 | 5.657 | −0.577 | 1.985 | 0.06 | 5.299 | 0.889 |
Wrist calibration(Systolic) | 2.682 | 0.02 | 6.553 | 2.593 | 2.256 | 0.037 | 8.928 | 8.035 |
Wrist calibration(Diastolic) | 2.359 | 0.043 | 5.451 | 0.771 | 2.17 | 0.054 | 7.95 | 1.25 |