Time-varying autoregressive model-based multiple modes particle filtering algorithm for respiratory rate extraction from pulse oximeter

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 3 PART 2, 2011, Pages 790-794

  Lee, Jinseok ^a   Chon, Ki H ^a  

^a Worcester Polytechnic Institute   (United States)

Author keywords

Autoregressive (AR) model; chronic heart failure (CHF); chronic obstructive pulmonary disease; optimal parameter search (OPS); particle filter; pulse oximeters; remote health monitoring; respiratory rate extraction; sleep apnea; sudden infant death syndrome; vital signs

Indexed keywords

AUTO REGRESSIVE MODELS; CHRONIC HEART FAILURES; CHRONIC OBSTRUCTIVE PULMONARY DISEASE; OPTIMAL PARAMETER; PARTICLE FILTER; PULSE OXIMETERS; REMOTE HEALTH MONITORING; RESPIRATORY RATE; SLEEP APNEA; SUDDEN INFANT DEATH SYNDROMES; VITAL SIGN;

ALGORITHMS; CARDIOLOGY; MONITORING; NONINVASIVE MEDICAL PROCEDURES; NONLINEAR FILTERING; OPTIMIZATION; POPULATION STATISTICS; TABLE LOOKUP; TIME VARYING SYSTEMS;

OXIMETERS;

ACCURACY; ADULT; ALGORITHM; ARTICLE; BREATHING MECHANICS; BREATHING RATE; COMBINED TIME INVARIANT AND TIME VARYING OPTIMAL PARAMETER SEARCH BASED MULTIPLE MODES PARTICLE FILTER; CONTROLLED STUDY; FEMALE; HEART RATE; HUMAN; HUMAN EXPERIMENT; INTERMETHOD COMPARISON; MALE; NORMAL HUMAN; PULSE OXIMETER; SIGNAL NOISE RATIO; SIMULATION; TIME VARYING OPTIMAL PARAMETER SEARCH; TIME VARYING OPTIMAL PARAMETER SEARCH PARTICLE SEARCH;

ADULT; ALGORITHMS; FEMALE; HUMANS; MALE; MONITORING, PHYSIOLOGIC; OXIMETRY; POINT-OF-CARE SYSTEMS; REGRESSION ANALYSIS; RESPIRATORY RATE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 79952010477     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2085437     Document Type: Article

References (14)

1. P. Leonard, N. R. Grubb, P. S. Addison, D. Clifton, and J. N.Watson, "An algorithm for the detection of individual breaths from the pulse oximeter waveform," J. Clin. Monit. Comput., vol. 18, pp. 309-312, 2005.
2. M. Younes, "Role of respiratory control mechanisms in the pathogenesis of obstructive sleep disorders," J. Appl. Physiol., vol. 105, no. 5, pp. 1389-1405, Nov, 2008.
3. T. Rantonen, J. Jalonen, J. Gronlund, K. Antila, D. Southall, and I. Valimaki, "Increased amplitude modulation of continuous respiration precedes sudden infant death syndrome-detection by spectral estimation of respirogram," Early Hum. Dev., vol. 53, no. 1, pp. 53-63, Nov. 1998.
4. D. P. Francis, K. Willson, L. C. Davies, A. J. Coats, and M. Piepoli, "Quantitative general theory for periodic breathing in chronic heart failure and its clinical implications," Circulation, vol. 102, no. 18, pp. 2214-2221, Oct. 2000.
5. M. Hasselgren, M. Arne, A. Lindahl, S. Janson, and B. Lundback, "Estimated prevalences of respiratory symptoms, asthma and chronic obstructive pulmonary disease related to detection rate in primary health care," Scand J. Prim. Health Care, vol. 19, no. 1, pp. 54-57, Mar, 2001.
6. K. H. Chon, S. Dash, and K. Ju, "Estimation of respiratory rate from photoplethysmogram data using time-frequency spectral estimation," IEEE Trans. Biomed. Eng., vol. 56, no. 8, pp. 2054-63, Aug. 2009.
7. P. Leonard, T. F. Beattie, P. S. Addison, and J. N. Watson, "Standard pulse oximeters can be used to monitor respiratory rate," Emerg. Med. J., vol. 20, no. 6, pp. 524-525, Nov. 2003.
8. J. Lee and K. H. Chon, "Respiratory rate extraction via an autoregressive model using the optimal parameter search criterion," Ann. Biomed. Eng., vol. 38, no. 10, pp. 3218-3225, May 25.
9. J. Lee and K. Chon, "An Autoregressive model-based particle filtering algorithms for extraction of respiratory rates as high as 90 breaths per minute from pulse oximeter," IEEE Trans Biomed Eng., vol. 57, no. 9, pp. 2158-2167, Jun. 10.
10. R. Arena, J. Myers, J. Abella, M. A. Peberdy, D. Bensimhon, P. Chase, and M. Guazzi, "Development of a ventilatory classification system in patients with heart failure," Circulation, vol. 115, no. 18, pp. 2410-7, May 2007.
11. R. Zou, H. Wang, and K. H. Chon, "A robust time-varying identification algorithm using basis functions," Ann. Biomed. Eng., vol. 31, no. 7, pp. 840-853, Jul-Aug, 2003.
12. Y. Zhong, K. M. Jan, K. H. Ju, and K. H. Chon, "Representation of time-varying nonlinear systems with time-varying principal dynamic modes," IEEE Trans. Biomed. Eng., vol. 54, no. 11, pp. 1983-1992, Nov. 2007.
13. L. Faes, G. Nollo, and K. H. Chon, "Assessment of granger causality by nonlinear model identification: Application to short-term cardiovascular variability," Ann. Biomed. Eng., vol. 36, no. 3, pp. 381-395, Mar. 2008.
14. X. Xiao, Y. Li, and R.Mukkamala, "A model order selection criterion with applications to cardio-respiratory-renal systems," IEEE Trans. Biomed. Eng., vol. 52, no. 3, pp. 445-453, Mar. 2005.