Year: 2025
Type: article
Abstract: : Innovative healthcare systems are progressively revolutionizing conventional medical practices by incorporating cutting-edge technologies like the Internet of Things (IoT), computer vision, and deep learning. These systems seek to improve patient care, streamline healthcare processes, and allow for real-time tracking of vital signs and health statuses. This review article examines the latest advancements in real-time patient monitoring, gesture-driven healthcare communication, and emergency response systems, focusing on the significance of IoT-enabled devices and embedded systems. Particular attention is directed towards the smooth integration of wearable sensors, microcontroller platforms like ESP32, and vision-based analytics, which together support prompt interventions, enhance communication between patients and caregivers, and broaden healthcare accessibility. Additionally, the paper discusses obstacles, emerging trends, and prospective avenues in the implementation of smart, connected healthcare solutions, illustrating how these technologies can foster more responsive, efficient, and patient-centric medical settings.
Language: English
Topic: Internet of Things and AI
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4416200642