The Development of Vital Signs Monitoring System with Data Output Interface using Arduino Mega
Keywords:
Vital Signs, Monitoring System, Data Output Interface, Arduino MegaAbstract
Vital signs monitoring is a common and critical component of patient care and can be instrumental in detecting early patient deterioration before a life-threatening event occurs. With essential vital signs monitoring, clinicians are equipped with the necessary information to make informed decisions that can improve patient care and outcomes. The researchers integrate the traditional vital signs monitoring by putting four sensors in one system.
To build the prototype, the researchers followed the process of creating experimental prototypes by employing an explanatory system. Prototyping is a system development method in which a prototype is constructed, tested, and revised as necessary until a final and acceptable prototype is attained from which the system or product can be produced. The researchers used a variety of sensors such as temperature, pulse sensor, oxygen sensor, and glucose sensors. The system automatically detects the user's vital signs and records them on their phone.
To investigate the effectiveness and usability of vital signs monitoring devices through the implementation of experimental research methods. The researchers surveyed 40 students from Bestlink College of the Philippines and 10 Medical Personnel. The researchers obtained an overall mean of 4.20 for students and 4.1 for medical personnel from a Likert scale questionnaire. As for the Descriptive interpretation, it shows "Agree" and "Strongly agree," indicating that respondents from Bestlink College of the Philippines – Bulacan and medical Personnel outside the campus believed that the innovative prototype was effective.
Based on the data and findings from the prototype, using Arduino Mega as the main microcontroller in the development of the vital signs monitoring system is deemed successful. The Arduino Mega, as the main microcontroller, is fully operational, and all the sensors and additional parts are incorporated to track the user's vital signs. Thus, researchers recommend that all future researchers use Raspberry Pi as their main microcontroller for advanced setup.
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