@inproceedings{BoikoScherzGaiduketal.2022,
  author    = {Boiko, Andrei and Scherz, Wilhelm and Gaiduk, Maksym and Gentili, Andrea and Conti, Massimo and Orcioni, Simone and Seepold, Ralf and Mart{\´i}nez Madrid, Natividad},
  title     = {Sleep respiration rate detection using an accelerometer sensor with special holder setup},
  booktitle = {2022 E-Health and Bioengineering Conference (EHB), 17-18 November 2022, Iasi, Romania, proceedings},
  isbn      = {978-1-6654-8557-9},
  doi       = {10.1109/EHB55594.2022.9991578},
  institution = {Informatik},
  pages     = {4},
  year      = {2022},
  abstract  = {The respiratory rate is a vital sign indicating breathing illness. It is necessary to analyze the mechanical oscillations of the patient's body arising from chest movements. An inappropriate holder on which the sensor is mounted, or an inappropriate sensor position is some of the external factors which should be minimized during signal registration. This paper considers using a non-invasive device placed under the bed mattress and evaluates the respiratory rate. The aim of the work is the development of an accelerometer sensor holder for this system. The normal and deep breathing signals were analyzed, corresponding to the relaxed state and when taking deep breaths. The evaluation criterion for the holder's model is its influence on the patient's respiratory signal amplitude for each state. As a result, we offer a non-invasive system of respiratory rate detection, including the mechanical component providing the most accurate values of mentioned respiratory rate.},
  language  = {en}
}