This work aimed to develop ambulatory vital signs monitoring devices using the Internet of Things (AVSMDIoT). This work involves the development of robust signal algorithms with an assemblage of components like Arduino Nano, a suitable length of Velcro, a laptop downloaded with Arduino, jumper wires, soldering lead, soldering tools, temperature sensor, heart rate sensor, ESP module 8266, Spo2 sensor and respiration sensor. Patients’ real-time physiological vital signs, like heart rate, temperature, peripheral oxygen saturation, blood pressure, and respiration sensors, were measured and saved on to cloud using IoT. The effectiveness of AVSMDIoT was determined by comparing the vital signs measured by Welch Allyn’s vital signs monitor (WASVM). Then, cost reduction was determined. The results show that sensors gave good algorithms with sufficient data for monitoring vital signs. The developed AVSMDIoT models were successfully stored on the google cloud using wi-fi and ESP modules. The R2 – values of the relationship between vital signs of AVSMDIoT and WAVSM were more than 0.75, which indicated the reliability of AVSMDIoT. A cost of 84.38% of WAVSM was saved for the production of AVSMDIoT. Thus, developed AVSMDIoT enhanced in monitoring vital signs, cost-effective, saves time and energy with better performance when compared with WAVSM.
Keywords: ambulatory vital signs; pulse sensor; ESP module; internet of things
