"SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and ..."

Matteo Rossi et al. (2023)

> Home

Details and statistics

DOI: 10.1109/JBHI.2023.3267087

access: open

type: Journal Article

metadata version: 2025-07-09

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/titb/RossiSBSALMC23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/titb/RossiSBSALMC23
Matteo Rossi, Davide Sala, Dario Bovio, Caterina Salito, Giulia Alessandrelli, Carolina Lombardi, Luca T. Mainardi, Pietro Cerveri:
SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable Somnography. IEEE J. Biomed. Health Informatics 27(7): 3129-3140 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.