Abstract
With the rapid advancement of remote patient monitoring (RPM) technologies, the integration of non-contact sensing methods and nanotechnology has emerged as a promising approach within intelligent nursing. This review highlights the latest progress in nanotechnology-driven non-contact sensors for remote cardiovascular health monitoring and emphasizes their role in preventing major adverse cardiovascular events (MACE). Current research demonstrates that such sensors leverage nanoscale materials and mechanisms to enable highly sensitive, accurate, and continuous monitoring of physiological parameters without physical contact. Despite these advances, challenges remain in clinical validation, data processing, and large-scale implementation. To address these challenges, this article specifying the databases searched (e.g. PubMed, Scopus, and Web of Science) and the inclusive dates of the search (2019 to 2025), systematically analyzes the underlying principles of these technologies, their clinical applications, data analytics techniques, and future technological and clinical developmental trends. By synthesizing current evidence, the review aims to provide a scientific foundation and technical guidance for integrating nanotechnology-based non-contact RPM into intelligent nursing frameworks, ultimately facilitating early intervention and improved management of cardiovascular diseases.