DSleepNet: Disentanglement Learning for Personal Attribute-Agnostic Three-Stage Sleep Classification Using Wearable Sensing Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2025.3541851
Abstract: Long-term non-invasive sleep stage monitoring is instrumental in comprehending the progression of sleep disorders, cardiovascular diseases, and the interplay between sleep, type 2 diabetes, and neurodegenerative diseases. However, the conventional deep learning approach is susceptible… read more here.
Keywords: personal attribute; dsleepnet disentanglement; stage; attribute agnostic ... See more keywords
MDLdroid: A ChainSGD-Reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2021.3103846
Abstract: Personal mobile sensing is fast permeating our daily lives to enable activity monitoring, healthcare and rehabilitation. Combined with deep learning, these applications have achieved significant success in recent years. Different from conventional cloud-based paradigms, running… read more here.
Keywords: personal mobile; mobile deep; learning personal; deep learning ... See more keywords