Research Article
Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches
Table 1
The number of segments for each BP categorical groups, separately for each case.
| Case | Normotensive | Hypertensive | Hypotensive | Bad quality signals | Without reference BPs | Total |
| Case 1 | 581 | — | 64 | 419 | 376 | 1440 | Case 2 | 12 | — | 14 | 166 | — | 192 | Case 3 | 1099 | — | 50 | 1400 | 1051 | 3600 | Case 4 | 496 | — | — | 649 | 295 | 1440 | Case 5 | 50 | 32 | — | 352 | 1726 | 2160 | Case 6 | 357 | 56 | 69 | 158 | 80 | 720 | Case 7 | 128 | — | 56 | 289 | 247 | 720 | Case 8 | 248 | — | — | 296 | 152 | 696 | Case 9 | 465 | — | — | 178 | 77 | 720 | Case 10 | 44 | 1 | — | 195 | — | 240 | Case 11 | 395 | 51 | 71 | 203 | — | 720 | Case 12 | 312 | — | 392 | 468 | 268 | 1440 | Case 13 | 324 | — | 8 | 223 | 165 | 720 | Case 14 | — | — | 61 | 95 | — | 156 | Case 15 | — | — | 12 | 158 | — | 170 | Case 16 | — | — | 46 | 86 | 28 | 160 | Case 17 | 65 | — | 4 | 70 | 27 | 166 | Case 18 | 81 | — | — | 81 | — | 162 | Case 19 | 40 | 15 | — | 84 | 20 | 159 | Case 20 | 286 | 3 | 11 | 256 | 164 | 720 | Case 21 | 101 | 0 | 59 | 119 | 81 | 360 | Case 22 | 56 | 52 | 11 | 167 | 74 | 360 | Case 23 | 22 | 76 | — | 226 | — | 324 | Case 24 | 20 | — | — | 160 | — | 180 | Case 25 | 101 | 57 | 19 | 468 | 75 | 720 | Case 26 | 152 | 21 | 7 | 367 | 173 | 720 | Case 27 | 98 | — | — | 388 | 101 | 720 | Case 28 | 231 | — | — | 403 | 79 | 720 | Case 29 | 211 | — | 27 | 480 | — | 720 | Case 30 | 48 | — | — | 84 | — | 132 | Case 31 | 315 | 72 | 34 | 798 | 221 | 1440 | Case 32 | 144 | 200 | — | 286 | 90 | 720 | Total | 6482 | 636 | 1015 | 9772 | 5570 | 23617 |
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