Erden, FatihErden,F.Cetin,A.E.Department of Electrical & Electronics Engineering2024-07-052024-07-0520163978-605010737-110.1109/ELECO.2015.73946312-s2.0-84963891368https://doi.org/10.1109/ELECO.2015.7394631https://hdl.handle.net/20.500.14411/3794Respiratory rate is an essential parameter in many practical applications such as patient and elderly people monitoring. In this paper, a novel contact-free system is introduced to detect the human breathing activity. The system, which consists of two pyro-electric infrared (PIR) sensors, is capable of estimating the respiratory rate and detecting the sleep apnea. Sensors' signals corresponding to the thoracic movements of a human being are sampled using a microprocessor and analyzed on a general-purpose computer. Sampled signals are processed using empirical mode decomposition (EMD) and a new average magnitude difference function (AMDF) is used to detect the periodicity and the period of the processed signals. The resulting period, by using the fact that breathing is almost a periodic activity, is monitored as the respiratory rate. The new AMDF provides a way to fuse the data from the multiple sensors and generate a more reliable estimation of the respiratory rate. © 2015 Chamber of Electrical Engineers of Turkey.eninfo:eu-repo/semantics/closedAccess[No Keyword Available]Conference Object11361140