Published Paper Details:

The advancement of Internet of Things (IoT) technologies has transformed the healthcare sector by enabling real-time and remote patient monitoring[1]. This paper presents the design and implementation of an IoT-based patient monitoring system utilizing the Raspberry Pi 3B/4 platform, integrated with a suite of biomedical sensors [2]. The system continuously collects vital health parameters such as heart rate, blood oxygen level (SpO?), body temperature, blood pressure, and ECG signals using sensors like MAX30100, DS18B20, BP sensor kit, and AD8232 ECG module[3]. These data are processed locally on the Raspberry Pi and transmitted via Wi-Fi to a cloud-based IoT platform, specifically Adafruit IO, enabling real-time visualization and remote access by medical professionals [4]. The system is programmed using Python and employs HTTP protocols for efficient and secure communication between the hardware and the cloud. A local 20x4 LCD display is also included to show live patient readings on-site [6]. The proposed model aims to improve patient care in both clinical and home-based environments by enabling continuous monitoring and early diagnosis of health anomalies [7]. The system is cost-effective, scalable, and highly beneficial for critical care and remote healthcare applications, particularly in resource-constrained settings.