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@article{185721,
        author = {Adarsh K S and Immanuel Joel Jeejo and Harvy J Paul and N A Agnivesh and Akhila R},
        title = {A Raspberry Pi Based Assistive Nursing Robot for Remote Patient Care},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {2568-2575},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185721},
        abstract = {This paper presents a design for an assistive nursing robot utilizing a Raspberry Pi for processing data from various sensors. The robot is designed for autonomous movement using a line-following system and DC motor-powered wheels. It features a servo-controlled medicine delivery system that activates upon reaching a specified patient. For remote diagnosis, a camera and microphone enable contact-less communication between the doctor and patient. Real-time heart rate, blood oxygen level (SpO2), and temperature are monitored using dedicated sensors. The robot is intended for regular patient check-ups and provides emergency alerts if an issue is detected. Given the current scenario of pandemics and the global need for assistive nursing robots, this technology aims to secure patients and ensure medication is administered at the correct time and dosage, addressing issues like irregular timing and forgotten or incorrect dosages. The design seeks to support nurses and improve patient care delivery, particularly in situations where highly contagious diseases necessitate social distancing between the patient and care provider.},
        keywords = {Assistive robot, Line following, Nursing robot, Raspberry Pi, Remote patient monitoring, SpO2 sensor.},
        month = {October},
        }