Title:
PROCESSING PHYSIOLOGICAL SENSOR DATA USING A PHYSIOLOGICAL MODEL COMBINED WITH A PROBABILISTIC PROCESSOR
Document Type and Number:
WIPO Patent Application WO/2010/124034
Kind Code:
A3
Abstract:
A pulse oximeter system comprises a data processor configured to perform a method that combines a sigma point Kalman filter (SPKF) or sequential Monte Carlo (SMC) algorithm with Bayesian statistics and a mathematical model comprising a cardiovascular model and a plethysmography model to remove contaminating noise and artifacts from the pulse oximeter sensor output and measure blood oxygen saturation, heart rate, left-ventricular stroke volume, aortic pressure and systemic pressures.
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Inventors:
TEIXEIRA RODRIGO E (US)
Application Number:
PCT/US2010/031960
Publication Date:
January 12, 2012
Filing Date:
April 21, 2010
Export Citation:
Assignee:
STREAMLINE AUTOMATION LLC (US)
TEIXEIRA RODRIGO E (US)
TEIXEIRA RODRIGO E (US)
International Classes:
A61B5/00
Foreign References:
US20030018457A1 | 2003-01-23 | |||
US20080183090A1 | 2008-07-31 | |||
US20030233197A1 | 2003-12-18 | |||
US20060190217A1 | 2006-08-24 | |||
US20070010723A1 | 2007-01-11 |
Other References:
SAATCI ET AL.: "Dual Unscented Kalman Filter and Its Applications to Respiratory System Modeling", April 2009 (2009-04-01), pages 206 - 215, XP008153680, Retrieved from the Internet [retrieved on 20091111]
GAHAHRAMANI: "Unsupervised Learning", 16 September 2004 (2004-09-16), pages 1 - 10, XP008153681, Retrieved from the Internet [retrieved on 20111111]
GAHAHRAMANI: "Unsupervised Learning", 16 September 2004 (2004-09-16), pages 1 - 10, XP008153681, Retrieved from the Internet
Attorney, Agent or Firm:
FRIEND, Tomas (LLC886 Indian Rock Road, Strasburg VA, US)
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