Measurement Validation of Patient Vital Signs Monitoring System Using Wireless Sensor Network

In the disease diagnosis field, vital signs have an important effect to detect illness type of the human body. The measurement accuracy of patient vital signs plays an important part in medical applications. Consequently, the performance of these vital signs must be measured with high system accuracy. This paper introduces an accurate measurement of the proposed patient vital signs monitoring system. A Wireless sensor network (WSN) for patient monitoring has been proposed to monitor three medical parameters; heart rate, SpO2, and temperature. The suggested system relies on ZigBee wireless standard connected with the Arduino Pro mini was able to monitor the patient parameters with high accuracy. Probability density function (PDF) is one of the common statistical analysis was used to confirm the performance of our proposed system. The system accuracy is achieved based on PDF relative to the benchmark devices. The measurement results revealed that the limits of agreement m±2sd of PDF are more than 99.4% for three parameters, which indicates that the proposed design is a reliable system.