title: A novel respiratory rate estimation method for sound-based wearable monitoring systems.
abstract: The respiratory rate is a vital sign that can provide important information about the health of a patient, especially that of the respiratory system. The aim of this study is to develop a simple method that can be applied in wearable systems to monitor the respiratory rate automatically and continuously over extended periods of time. In this paper, a novel respiratory rate estimation method is presented to achieve this target. The proposed method has been evaluated in both the open-source data as well as the local-hospital data, and the results are encouraging. The findings of this study revealed strong linear correlation to the reference respiratory rate. The correlation coefficients for the open-source data and the in-hospital data are 0.99 and 0.96 respectively. The standard deviation of the estimation error is less than 7% for both types of data.
authors.affiliation: School of EEE, Nanyang Technological University, Singapore 639798. jmzhang@ntu.edu.sg
authors.forename: Jianmin
authors.initials: J
authors.lastname: Zhang
authors.forename: Wee
authors.initials: W
authors.lastname: Ser
authors.forename: Daniel Yam Thiam
authors.initials: DY
authors.lastname: Goh
mesh_terms: D002648:Child; D006801:Humans; D008297:Male; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D012119:Respiration