Document Detail


Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter.
MedLine Citation:
PMID:  18175857     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Physiological signals such as the electrocardiogram (ECG) and arterial blood pressure (ABP) in the intensive care unit (ICU) are often severely corrupted by noise, artifact and missing data, which lead to large errors in the estimation of the heart rate (HR) and ABP. A robust HR estimation method is described that compensates for these problems. The method is based upon the concept of fusing multiple signal quality indices (SQIs) and HR estimates derived from multiple electrocardiogram (ECG) leads and an invasive ABP waveform recorded from ICU patients. Physiological SQIs were obtained by analyzing the statistical characteristics of each waveform and their relationships to each other. HR estimates from the ECG and ABP are tracked with separate Kalman filters, using a modified update sequence based upon the individual SQIs. Data fusion of each HR estimate was then performed by weighting each estimate by the Kalman filters' SQI-modified innovations. This method was evaluated on over 6000 h of simultaneously acquired ECG and ABP from a 437 patient subset of ICU data by adding real ECG and realistic artificial ABP noise. The method provides an accurate HR estimate even in the presence of high levels of persistent noise and artifact, and during episodes of extreme bradycardia and tachycardia.
Authors:
Q Li; R G Mark; G D Clifford
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2007-12-10
Journal Detail:
Title:  Physiological measurement     Volume:  29     ISSN:  0967-3334     ISO Abbreviation:  Physiol Meas     Publication Date:  2008 Jan 
Date Detail:
Created Date:  2008-01-07     Completed Date:  2008-04-24     Revised Date:  2012-05-22    
Medline Journal Info:
Nlm Unique ID:  9306921     Medline TA:  Physiol Meas     Country:  England    
Other Details:
Languages:  eng     Pagination:  15-32     Citation Subset:  IM    
Affiliation:
Institute of Biomedical Engineering, School of Medicine, Shandong University, Shangdong, People's Republic of China.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Blood Pressure / physiology*
Blood Pressure Determination / methods
Bradycardia / diagnosis,  physiopathology
Electrocardiography / methods*
Heart Rate / physiology*
Humans
Intensive Care Units
Monitoring, Physiologic / methods
Reproducibility of Results
Signal Processing, Computer-Assisted*
Tachycardia / diagnosis,  physiopathology
Grant Support
ID/Acronym/Agency:
R01 EB001659/EB/NIBIB NIH HHS; R01 EB001659-05/EB/NIBIB NIH HHS; R01 EB001659-09/EB/NIBIB NIH HHS
Comments/Corrections

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