Time-Varying Autoregressive Model-Based Multiple Modes Particle Filtering Algorithm for Respiratory Rate Extraction From Pulse Oximeter

• Published in: IEEE transactions on biomedical engineering Vol. 58; no. 3; pp. 790 - 794
• Main Authors: Lee, Jinseok, Chon, Ki H.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2011; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Adult; Algorithms; Autoregressive (AR) model; Breathing; chronic heart failure (CHF); chronic obstructive pulmonary disease; Estimation; Extraction; Female; Filtering; Filtering algorithms; Filtration; Heart; Heuristic algorithms; Human subjects; Humans; Male; Monitoring, Physiologic - methods; optimal parameter search (OPS); Oximetry - methods; particle filter; Particle filters; Point-of-Care Systems; pulse oximeters; Regression Analysis; remote health monitoring; Respiratory rate; Respiratory Rate - physiology; respiratory rate extraction; Robustness; Signal Processing, Computer-Assisted; sleep apnea; Studies; sudden infant death syndrome; Television; vital signs

We present a particle filtering algorithm, which combines both time-invariant (TIV) and time-varying autoregressive (TVAR) models for accurate extraction of breathing frequencies (BFs) that vary either slowly or suddenly. The algorithm sustains its robustness for up to 90 breaths/min (b/m) as well....