title: Estimating respiratory rate from FBG optical sensors by using signal quality measurement.
abstract: Non-intrusiveness is one of the advantages of in-bed optical sensor device for monitoring vital signs, including heart rate and respiratory rate. Estimating respiratory rate reliably using such sensors, however, is challenging, due to body movement, signal variation according to different subjects or body positions, etc. This paper presents a method for reliable respiratory rate estimation for FBG optical sensors by introducing signal quality estimation. The method estimates the quality of the signal waveform by detecting regularly repetitive patterns using proposed spectrum and cepstrum analysis. Multiple window sizes are used to cater for a wide range of target respiratory rates. Furthermore, the readings of multiple sensors are fused to derive a final respiratory rate. Experiments with 12 subjects and 2 body positions were conducted using polysomnography belt signal as groundtruth. The results demonstrated the effectiveness of the method.
authors.lastname: Yongwei Zhu
authors.forename: Jayachandran
authors.initials: J
authors.lastname: Maniyeri
authors.forename: Victor Foo Siang
authors.initials: VF
authors.lastname: Fook
authors.lastname: Haihong Zhang
mesh_terms: D006801:Humans; D009068:Movement; D017286:Polysomnography; D056152:Respiratory Rate