Research Article

Fuzzy Intelligent System for Patients with Preeclampsia in Wearable Devices

Table 4

Data for trapezoidal shaped representation.

Attribute Term Trapezoidal membership function

Systolic pressure Normal T (120 mmHg, 120 mmHg, 135 mmHg, 140 mmHg)
Systolic pressure High T (135 mmHg, 140 mmHg, 155 mmHg, 160 mmHg)
Systolic pressure Severe T (140 mmHg, 150 mmHg, 160 mmHg, 170 mmHg)
Systolic pressure Very severe T (160 mmHg, 170 mmHg, 200 mmHg, 200 mmHg)
Diastolic pressure Normal T (85 mmHg, 85 mmHg, 85 mmHg, 90 mmHg)
Diastolic pressure High T (85 mmHg, 90 mmHg, 105 mmHg, 110 mmHg)
Diastolic pressure Severe T (100 mmHg, 105 mmHg, 115 mmHg, 120 mmHg)
Diastolic pressure Very severe T (115 mmHg, 120 mmHg, 200 mmHg, 200 mmHg)
Proteinuria Normal T (0 g/dl, 100 m/dl, 900 g/dl, 1000 g/dl)
Proteinuria High T (500 g/dl, 1000 g/dl, 4500 g/dl, 5000 g/dl)
Proteinuria Severe T (2000 g/dl, 4500 g/dl, 5000 g/dl, 5000 g/dl)
Age Girl T (13 y, 13 y, 15 y, 18 y)
Age Young T (15 y, 20 y, 30 y, 35 y)
Age Elder T (30 y, 38 y, 38 y, 38 y)
Age Risk T (35 y, 38 y, 40 y, 40 y)
Weight (ICM) Normal T (20 Kg/m2, 20 Kg/m2, 20 Kg/m2, 25 Kg/m2)
Weight (ICM) Overweight T (23 Kg/m2, 25 Kg/m2, 30 Kg/m2, 30 Kg/m2)
Weight (ICM) Obesity T (25 Kg/m2, 30 Kg/m2, 35 Kg/m2, 35 Kg/m2)
Weight (ICM) Severe obesityT (30 Kg/m2, 35 Kg/m2, 35 Kg/m2, 35 Kg/m2)