Nature scientific report about Python open-source software for respiratory rate estimation using single-lead electrocardiograms

Last Updated on April 3, 2024 by pg@petergamma.org

  • Roberts, J. D., Jr. & Kulkarni, K. Nature Scientific Reports | (2024) :

https://scholar.google.com/scholar?hl=de&as_sdt=0%2C5&q=Open-source+software+for+respiratory+rate+estimation+using+single-lead+electrocardiograms+Springer+Nature&btnG=

  • “The algorithm is coded in Python and available on the online project repository at“:

https://accounts.osf.io/login?service=https://osf.io/c2hda

  • The code currently cannot be downloaded from the MRIS, but we suppose it is availably in public university libraries as for instance here:

https://infozentrum.ethz.ch/en