Research Article
Application of Machine Learning Technology in Sleep Health
@INPROCEEDINGS{10.4108/eai.22-5-2026.2365114, author={Jiayu Zhang}, title={Application of Machine Learning Technology in Sleep Health}, proceedings={Proceedings of the 4th International Conference on Image, Algorithms, and Artificial Intelligence, ICIAAI 2026, 22-24 May 2026, Singapore, Singapore}, publisher={EAI}, proceedings_a={ICIAAI}, year={2026}, month={8}, keywords={Machine learning Sleep health Real-time monitoring K-means clustering Artificial intelligence}, doi={10.4108/eai.22-5-2026.2365114} }- Jiayu Zhang
Year: 2026
Application of Machine Learning Technology in Sleep Health
ICIAAI
EAI
DOI: 10.4108/eai.22-5-2026.2365114
Abstract
In the past, sleep has always been a very troublesome thing in people's minds. Long term sleep problems will greatly increase the risk of mental illness, especially for people with sleep disorders, which has become a major challenge. This article will conduct in-depth research on the medical issues of sleep health based on machine learning. Through the introduction of mask shaped breathing sensors, intelligent devices for real-time sleep staging, and intelligent sleep monitoring apps, as well as the operation process of these three technologies, the advantages and disadvantages of each device will be analyzed, providing long-term research solutions for future sleep medicine. Machine learning has been extended in multiple dimensions in the field of sleep health, analyzing and tracking data obtained from various sources to provide personalized guidance and suggestions for users, and ensuring people's sleep health.
