Abstract: In the realm of healthcare technology, the quest for improved patient care and monitoring, especially in conditions like Alzheimer's disease, remains paramount. This study tackles this challenge by integrating embedded systems and IoT (Internet of Things) technologies. Through the strategic utilization of tilt, PIR (Passive Infrared), wet, and pressure sensors, coupled with ESP32 and Raspberry Pi 4W microcontroller units, we crafted a sophisticated system tailored for Alzheimer's patient monitoring. This system captures a wide array of patient activities and behaviors, offering a comprehensive view of their daily routines. Crucially, the system promotes cognitive engagement through memory-related activities, aided by audio cues for routine adherence. Preliminary results are encouraging, demonstrating heightened patient engagement and more effective monitoring. Despite encountering design and implementation hurdles, our iterative approach has yielded a functional prototype poised to make meaningful contributions to Alzheimer's care. This paper delineates our design process, challenges faced, and promising initial findings, underscoring the potential of integrated technologies in revolutionizing Alzheimer's patient care.

Keywords: Healthcare Technology, Alzheimer's Patient Monitoring, Embedded Systems, Internet of Things (IOT), ESP32, Raspberry Pi 4W, Sensor Integration, Cognitive Engagement, Audio cues, Protype Development

| DOI: 10.17148/IARJSET.2024.11549