Paok Bc Vs

https://github.com › BciJ › MSTSSleepNet
MSTSSleepNet is a lightweight and interpretable network for automatic sleep staging It uses a dual view architecture

https://www.semanticscholar.org › paper › MSTSSleepNet...
This work proposes a framework namely Diff SleepNet to efficiently classify sleep stages from multi modal input

https://github.com › BciJ › MSTSSleepNet › blob › main › README.md
MSTSSleepNet is a lightweight and interpretable network for automatic sleep staging It uses a dual view architecture

https://eurekamag.com › research
The model introduces a dual view framework that processes physiological signals in both temporal and frequency domains in parallel

https://github.com › BciJ › MSTSSleepNet › blob › main › models.py
MSTSSleepNet a lightweight and interpretable dual view deep network for sleep staging and OSA related brain

https://pubmed.ncbi.nlm.nih.gov
Pubmed ncbi nlm nih gov

https://orcid.org
MSTSSleepNet a lightweight and interpretable dual view deep network for sleep staging and OSA related brain activity analysis

https://www.sciencedirect.com › journal › expert...
MSTSSleepNet a lightweight and interpretable dual view deep network for sleep staging and OSA related brain activity analysis

https://link.springer.com › article
We propose a structured sleep staging network named SSleepNet for the sleep stages based on OSA subjects We