Research Article
Detection of Cardiovascular Disease Based on PPG Signals Using Machine Learning with Cloud Computing
| ā | Subject_ID | Sex (M/F) | Age (year) | Height (cm) | Weight (kg) | Systolic BP (mmHg) | Diastolic BP (mmHg) | Heart rate (b/m) | BHI | Hypertension |
| 0 | 2 | Female | 45 | 152 | 63 | 161 | 89 | 97 | 27.27 | Stage 2 hypertension | 1 | 3 | Female | 50 | 157 | 50 | 160 | 93 | 76 | 20.28 | Stage 2 hypertension | 2 | 6 | Female | 47 | 150 | 47 | 101 | 71 | 79 | 20.29 | Normal | 3 | 8 | Male | 45 | 172 | 65 | 136 | 93 | 87 | 21.97 | Prehypertension | 4 | 9 | Female | 46 | 155 | 65 | 123 | 73 | 73 | 27.06 | Prehypertension | | | | | | | | | | | | 214 | 415 | Male | 24 | 180 | 70 | 111 | 70 | 77 | 21.60 | Normal | 215 | 416 | Female | 25 | 156 | 47 | 93 | 57 | 79 | 19.31 | Normal | 216 | 417 | Male | 25 | 176 | 55 | 120 | 69 | 72 | 17.76 | Stage 2 prehypertension | 217 | 418 | Male | 25 | 173 | 63 | 106 | 69 | 67 | 21.05 | Normal | 218 | 419 | Male | 24 | 175 | 58 | 108 | 68 | 65 | 18.94 | Normal |
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