A Monitoring Device for Urine Volume and Turbidity using Continuity Flow and Beer- Lambert’s Law for Post-Operative Patients

The amount and quality of urine are two of the most closely monitored signs to establish the condition of patients who undergo surgical operations. However, with the conventional way of measuring the volume and quality of the urine, loss of time and human error cannot be prevented. The study aimed to automatically measure the volume based on flow rate and the turbidity of the urine of the post-operative patients. This study focused on measuring the volume and turbidity of the urine through Continuity Flow principle using an infrared sensor and Beer-Lambert's law using photodetector sensors, respectively. The urinary bladder system model was designed and constructed in order to demonstrate a urine discharge and test the functionality of the measuring devices. Through a mobile application, the medical staff can monitor the results of these measurements. The gathered data for volume using the device was compared to the actual measurements using a graduated cylinder. The tests revealed that actual volume is always more than the measured volume with an average flowrate of 18.1575 mL/s and an accuracy of 95.5%. Measurements on turbidity compared to the conventional way of testing the physical parameters of urine in urinalysis yielded a satisfactory testing result based on the voltage ranges resulted from Decision Tree Classifier. Furthermore, through the series of experiments conducted in the assessment of the prototype developed, the expected value compared to the actual values showed that the device output has no significant difference with the expected output.