Bibliometric Analysis of Research Hotspots and Trends in Non-Contact Sleep Monitoring

Objective: To explore the current status and developmental trends in non-contact sleep monitoring, providing references for future research. Methods: A bibliometric analysis was conducted by retrieving literature related to non-contact sleep monitoring from the Web of Science database, covering records from its inception to December 2024. CiteSpace and Bibliometrix software were employed to perform visual analyses of annual publication trends, geographic distributions, institutional contributions, author collaborations, high-frequency keywords, and burst keywords. These analyses aimed to elucidate research landscapes, hotspots, and emerging directions, with corresponding visual maps generated. Results: A total of 625 articles were analyzed. Current research primarily focuses on the prevention and monitoring of sleep apnea syndrome and the development of Internet of Things (IoT)-based sleep monitoring systems. Conclusion: Non-contact sensing technologies for sleep monitoring have gained significant research momentum in recent years. Future studies in this field are expected to emphasize interdisciplinary integration and technological innovation. Further exploration of the clinical diagnostic potential and health management applications of non-contact sleep monitoring technologies is recommended, with an emphasis on advancing intelligent and precision-oriented developments.