Predicting long-term sleep deprivation using wearable sensors and health surveys.

Trujillo R, Zhang E, Templeton JM, Poellabauer C.

DOI: 10.1016/j.compbiomed.2024.108749
Published: 2024-07-02
Container: Comput Biol Med
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1016/j.compbiomed.2024.108749,
  title = {Predicting long-term sleep deprivation using wearable sensors and health surveys.},
  author = {Trujillo R and  Zhang E and  Templeton JM and  Poellabauer C.},
  year = {2024},
  journal = {Comput Biol Med},
  doi = {10.1016/j.compbiomed.2024.108749},
  url = {https://doi.org/10.1016/j.compbiomed.2024.108749}
}

RIS

TY  - JOUR
TI  - Predicting long-term sleep deprivation using wearable sensors and health surveys.
AU  - Trujillo R
AU  -  Zhang E
AU  -  Templeton JM
AU  -  Poellabauer C.
PY  - 2024
JO  - Comput Biol Med
DO  - 10.1016/j.compbiomed.2024.108749
UR  - https://doi.org/10.1016/j.compbiomed.2024.108749
ER  -

APA

R, T., E, Z., JM, T., & C., P. (2024). Predicting long-term sleep deprivation using wearable sensors and health surveys.. Comput Biol Med. https://doi.org/10.1016/j.compbiomed.2024.108749

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europe-pmc · retrieved 2026-09-26T07:56:30.406Z