Document Detail


Digital signal processing methods for the evaluation of Blood Volume Pulse (BVP) waveform changes due to exercise.
MedLine Citation:
PMID:  12724887     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Previous research by our group has revealed that the Blood Volume Pulse (BVP) waveform recorded using an infrared finger photoplethysmograph (PPG) undergoes changes as the subject performs physical exercise. In particular, a reduction in the depth of the Dicrotic Notch has been observed. There is an interest in characterizing those changes through a single parameter to measure the level of exercise the subject has reached, at any time during an exercise session. This paper reports on the comparison of three Digital Signal Processing approaches designed to reflect the BVP waveform changes through a single parameter, which could be obtained automatically from the digitized BVP signal. The first approach derives a single parameter from the distribution found in the average histogram of several time-aligned and averaged BVP beats. Our second approach analyzes the ratio observed between the first harmonic and higher harmonics in the BVP signal. The third approach evaluates the Dicrotic Notch depth directly from the BVP waveform, tracking sample values about the local minimum defined by the Dicrotic Notch. Our study, involving observations from 10 subjects, ranks these three approaches according to their ability to reflect the changes in BVP due to exercise.
Authors:
Chao Li; Jing Zhai; Armando Barreto
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Publication Detail:
Type:  Clinical Trial; Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Biomedical sciences instrumentation     Volume:  39     ISSN:  0067-8856     ISO Abbreviation:  Biomed Sci Instrum     Publication Date:  2003  
Date Detail:
Created Date:  2003-05-02     Completed Date:  2003-06-17     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0140524     Medline TA:  Biomed Sci Instrum     Country:  United States    
Other Details:
Languages:  eng     Pagination:  163-8     Citation Subset:  IM    
Affiliation:
Digital Signal Processing Laboratory, Electrical & Computer Engineering Department, Florida International University, Miami, FL 33174, USA.
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms
Arm / physiology
Blood Pressure / physiology
Blood Volume / physiology*
Blood Volume Determination / methods
Exercise / physiology*
Exercise Test
Female
Fingers / blood supply,  physiology*
Heart Rate / physiology
Humans
Male
Photoplethysmography / methods*
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted*
Statistics as Topic

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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