The ability to save data on physiological parameters in a database has become more important in modern healthcare since it paves the way for analysis, enabling long-term patient monitoring, personalized medication, remote patient monitoring, and collaborative medical decision-making. This study presents the development of an online monitoring system that able to remotely monitor the patient at any time via web server. Using internet of things (IoT) technology, it is possible to develop an online patient monitoring system that read parameters, transmit data to database, store data, and display data. The system utilized the ESP32 microcontroller to collect physiological parameters through various sensors. The sensors for each parameter were selected: AD8232 was used for the Electrocardiogram (ECG), GY-MAX30100 was used for the Heart Rate and Blood Oxygen Saturation (SpO2), and MLX90614 was used for the body temperature. In addition, Google Firebase was adopted as the Web Server for this system, along with the implementation of statistical method. The accuracy test was then performed to check the accuracy of the reading. The physiological data were collected and monitored where the developed device was able to display the collected data in a connection with the database. The development of an online patient monitoring system using IoT technology enables remote monitoring, accurate data storage, and analysis of physiological parameters, leading to improved healthcare outcomes and reduced workload for medical professionals.
Luqman et al. (Wed,) studied this question.