Cite
A sleep stage estimation algorithm based on cardiorespiratory signals derived from a suprasternal pressure sensor
MLA
Cerina, Luca, et al. “A Sleep Stage Estimation Algorithm Based on Cardiorespiratory Signals Derived from a Suprasternal Pressure Sensor.” Journal of Sleep Research Vol.33 (2024) Nr.2 [ISSN 0962-1105], 2024. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1427410518&authtype=sso&custid=ns315887.
APA
Cerina, L., Overeem, S., Papini, G. B., van Dijk, J. P., Vullings, R., van Meulen, F., Ross, M., Cerny, A., Anderer, P., & Fonseca, P. (2024). A sleep stage estimation algorithm based on cardiorespiratory signals derived from a suprasternal pressure sensor. Journal of Sleep Research Vol.33 (2024) Nr.2 [ISSN 0962-1105].
Chicago
Cerina, Luca, Sebastiaan Overeem, Gabriele B. Papini, Johannes P van Dijk, Rik Vullings, Fokke van Meulen, Marco Ross, Andreas Cerny, Peter Anderer, and Pedro Fonseca. 2024. “A Sleep Stage Estimation Algorithm Based on Cardiorespiratory Signals Derived from a Suprasternal Pressure Sensor.” Journal of Sleep Research Vol.33 (2024) Nr.2 [ISSN 0962-1105]. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1427410518&authtype=sso&custid=ns315887.