Table 1 MAE and RMSE for the two newly developed algorithms, namely the peak detection and filtered phase derivative for each individual data set, as well as mean and variance across the data sets
From: Estimation of the respiratory rate from ballistocardiograms using the Hilbert transform
Subject | \(\text {MAE}_\text {peak}\) (BPM) | \(\text {MAE}(f_{RR,\text {filt.}})\) (BPM) | \(\text {RMSE}_\text {peak}\) (BPM) | \(\text {RMSE}(f_{RR,\text {filt.}})\) (BPM) |
|---|---|---|---|---|
1 | 1.0133 | 0.9338 | 2.4795 | 2.1606 |
2 | 1.0378 | 1.0966 | 2.2614 | 2.7046 |
3 | 1.2212 | 1.2146 | 2.8401 | 2.8260 |
4 | 0.8632 | 0.7854 | 1.9597 | 1.9611 |
5 | 2.0258 | 2.9025 | 3.5064 | 5.0844 |
6 | 1.8381 | 3.5504 | 3.2011 | 6.0620 |
7 | 0.7474 | 0.8357 | 1.6673 | 2.0976 |
8 | 1.2305 | 1.3888 | 2.5367 | 2.8137 |
9 | 0.6940 | 0.7077 | 1.8490 | 1.8645 |
Mean | 1.1857 | 1.4906 | 2.4779 | 3.0638 |
Variance | 0.2155 | 1.0409 | 0.3854 | 2.2155 |