DocumentCode
797056
Title
On the detection of QRS variations in the ECG
Author
Shaw, G.R. ; Savard, P.
Author_Institution
Inst. de Genie Biomed., Montreal Univ., Que., Canada
Volume
42
Issue
7
fYear
1995
fDate
7/1/1995 12:00:00 AM
Firstpage
736
Lastpage
741
Abstract
Detection of subtle beat-to-beat variations in the morphology of the ECG is complicated by the effects of alignment errors and respiration. A method of directly estimating the alignment error (trigger jitter) from an ECG is derived by relating the variance to the squared slope of the averaged QRS complex. Results based on recordings obtained from 12 normal subjects and alignment performed by the cross-correlation method showed that the alignment errors were dependent upon the choice of the alignment channel, with the best distribution of the errors occurring when alignment was based on the vector magnitude of the three orthogonal leads. The estimated average alignment errors ranged from 0.33-0.42 ms, which were near the optimal value of 0.29 ms based on the sampling rate of 1000 samples/s. It was shown that the effects of respiration could be reduced by normalizing the amplitude of the QRS complexes. It was also estimated that a significant proportion of the variation (0.54-0.67) in the normalized ECG´s could be attributed to alignment errors and noise.
Keywords
electrocardiography; medical signal processing; 0.29 to 0.67 ms; ECG morphology; QRS variations detection; alignment errors; cross-correlation method; noise; normal subjects; normalized ECGs; orthogonal leads; respiration effects; squared slope variance; subtle beat-to-beat variations; trigger jitter; vector magnitude; Additive noise; Councils; Electrocardiography; Hospitals; Jitter; Morphology; Sampling methods; Shape; Signal analysis; Timing; Adult; Algorithms; Electrocardiography; Female; Humans; Male; Middle Aged; Respiration; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.391174
Filename
391174
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