Remote Patient Monitoring System for Enhanced Care with IOT Devices
DOI:
https://doi.org/10.53555/AJBR.v27i6S.6357Keywords:
Internet of Thing (IoT), Raspberry pi microcontroller, GSM Modem, ECG Sensor, Temperature Sensor (LM35), Heartbeat Sensor, Wi-Fi module (ESP 8266), L.C.DAbstract
The advancement of digital technologies, especially within the domain of Internet of Things (IoT), has profoundly influenced numerous industries, including healthcare. The IoT's ability to connect and enable communication between various physical devices over the internet improves data interoperability, essential for data monitoring, collection, storage, and visualization. This progress has led to the emergence of innovative methods in healthcare management, where accurate real-time monitoring and data analysis is essential. The current proposal presents an advanced healthcare monitoring system that utilizes IoT technology to track patients' health metrics consistently. This system gathers vital signs and other pertinent health information, sending them wirelessly to a central network via a secure Wi-Fi connection. Consequently, healthcare providers and caregivers can continuously access the latest patient data, allowing for prompt reactions to any anomalies or urgent health signals. The system features a notification system, including SMS and sound alerts, to quickly inform caregivers and healthcare professionals of possible health issues. Ensuring security and privacy is critical in configuring this remote monitoring solution, which employs cloud technology and password-protected access to safeguard the confidentiality and accuracy of patient information. By providing a secure, effective, and user-friendly platform, this IoT-based system seeks to improve the quality of healthcare services, showcasing technology's potential to transform patient care and assistance. This paper explores an IoT-based healthcare monitoring system's development, implementation, and implications, highlighting its contribution to modern healthcare practices.
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Copyright (c) 2024 Manoj Sharma, Ankita Kumari, Kirti Gupta, Yugnanda Puri (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.