Development and Testing of an IoT-Based Medical Assistant Robot: A Design for Enhanced Healthcare Support
Sunkari Pradeep, Madduri Laasya Reddy, Miryanam Harika, Nalumachu Kiranmai, Vanamala Aarthi · 2023
The present research investigates the development and use of a flexible robot to improve healthcare monitoring and interior navigation. Many testing on the robot's navigation skills were done using a Python code with PID control, demonstrating its accuracy and efficacy in following predefined paths. The robot was also installed with sensors that continually monitored the blood pressure, temperature, and blood glucose levels of ten patients. The findings demonstrated the robot's ability to provide accurate and trustworthy vital sign assessments, allowing for early problem discovery and fast medical action. Wi-Fi connectivity was introduced to simplify data transfer to a nearby computer and to allow healthcare professionals to get real-time updates and make educated medical choices. Patients with chronic diseases may discover solutions owing to the adaptability of the multifunctional robot in remote patient monitoring, which also enhances patient safety and healthcare delivery. The outcomes of the research emphasise the robot's potential to transform healthcare practises by providing personalised treatment regimens, improving patient care, and reducing strain on the system's infrastructure. Because of the robot's effective performance in a variety of healthcare settings, a safer, more productive, and patient-centered healthcare environment is now conceivable. As technology advances, the integration of IoT and machine learning algorithms may improve the robot's abilities, making it a necessary tool in current healthcare settings. Overall, this study supports robots in healthcare, improves user confidence, and sets the groundwork for future developments in IoT-enabled healthcare by providing a feasible option for seamless logistics, efficient navigation, and detailed patient monitoring.