EFFECT OF ENSEMBLE AVERAGING ON AMPLITUDE AND FEATURE VARIABILITIES OF DOPPLER SPECTROGRAMS RECORDED IN THE LOWER-LIMB ARTERIES

被引:6
作者
ALLARD, L [1 ]
LANGLOIS, YE [1 ]
DURAND, LG [1 ]
ROEDERER, GO [1 ]
CLOUTIER, G [1 ]
机构
[1] HOP HOTEL DIEU,RECH NONINVAS CHIRURG CARDIOVASC,MONTREAL H2W 1T8,QUEBEC,CANADA
关键词
BEAT-TO-BEAT AMPLITUDE VARIABILITY; BEAT-TO-BEAT FEATURE VARIABILITY; DOPPLER ULTRASOUND; PERIPHERAL ARTERY DISEASE; SPECTRAL ANALYSIS;
D O I
10.1007/BF02446964
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The objective of the present study was to analyse the effect of averaging Doppler blood flow signals in lower limb arteries on amplitude and feature variabilities. Doppler signals recorded in 41 iliac and 35 superficial femoral arteries having different categories of stenosis were averaged over 1-15 cardiac cycles. Based on the relative decreasing rate of an index of variability, results indicated that amplitude variability of the spectrograms was exponentially reduced to 30, 6 and 1 per cent when averaging five, ten and 15 cardiac cycles, respectively. Nine diagnostic features were extracted from Doppler spectrograms and their variations from one cardiac cycle to the next quantified. Based on the relative decreasing rate of these variations, results indicated that feature variability was exponentially reduced to 30, 4 and 1 per cent when averaging five, ten and 15 cardiac cycles, respectively. The effect of averaging on the discriminant power of the features to separate the different categories of stenosis was also investigated by performing t-test analyses. Results showed that averaging between five and ten cardiac cycles provided the better discriminant power for most cases, whereas averaging over more than ten cardiac cycles was of little benefit. Based on the spectral analysis technique used in the present study, we conclude that averaging over ten cardiac cycles is sufficient for the analysis of Doppler spectrograms recorded in the lower limbs.
引用
收藏
页码:267 / 276
页数:10
相关论文
共 16 条
[1]   COMPUTER-ANALYSIS AND PATTERN-RECOGNITION OF DOPPLER BLOOD-FLOW SPECTRA FOR DISEASE CLASSIFICATION IN THE LOWER-LIMB ARTERIES [J].
ALLARD, L ;
LANGLOIS, YE ;
DURAND, LG ;
ROEDERER, GO ;
BEAUDOIN, M ;
CLOUTIER, G ;
ROY, P ;
ROBILLARD, P .
ULTRASOUND IN MEDICINE AND BIOLOGY, 1991, 17 (03) :211-223
[2]   DIGITAL FOURIER TECHNIQUES IN THE DIAGNOSIS AND QUANTIFICATION OF AORTIC-STENOSIS WITH PULSED-DOPPLER ECHOCARDIOGRAPHY [J].
CANNON, SR ;
RICHARDS, KL ;
ROLLWITZ, WT .
JOURNAL OF CLINICAL ULTRASOUND, 1982, 10 (03) :101-107
[3]   COMPUTER EVALUATION OF DOPPLER SPECTRAL ENVELOPE AREA IN PATIENTS HAVING A VALVULAR AORTIC-STENOSIS [J].
CLOUTIER, G ;
LEMIRE, F ;
DURAND, LG ;
LATOUR, Y ;
LANGLOIS, YE .
ULTRASOUND IN MEDICINE AND BIOLOGY, 1990, 16 (03) :247-260
[4]   THE EFFECT OF AVERAGING CARDIAC DOPPLER SPECTROGRAMS ON THE REDUCTION OF THEIR AMPLITUDE VARIABILITY [J].
CLOUTIER, G ;
ALLARD, L ;
GUO, Z ;
DURAND, LG .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1992, 30 (02) :177-186
[5]   COMPUTER-BASED PATTERN-RECOGNITION OF CAROTID ARTERIAL-DISEASE USING PULSED DOPPLER ULTRASOUND [J].
GREENE, FM ;
BEACH, K ;
STRANDNESS, DE ;
FELL, G ;
PHILLIPS, DJ .
ULTRASOUND IN MEDICINE AND BIOLOGY, 1982, 8 (02) :161-176
[6]   STABILITY OF FLOW PATTERNS IN THE INVIVO POST-STENOTIC VELOCITY-FIELD [J].
HUTCHISON, KJ ;
KARPINSKI, E .
ULTRASOUND IN MEDICINE AND BIOLOGY, 1988, 14 (04) :269-275
[7]   INVITRO COMPARISON OF ALTERNATIVE METHODS FOR QUANTIFYING THE SEVERITY OF DOPPLER SPECTRAL BROADENING FOR THE DIAGNOSIS OF CAROTID ARTERIAL OCCLUSIVE DISEASE [J].
KALMAN, PG ;
JOHNSTON, KW ;
ZUECH, P ;
KASSAM, M ;
POOTS, K .
ULTRASOUND IN MEDICINE AND BIOLOGY, 1985, 11 (03) :435-440
[8]   METHOD FOR ESTIMATING THE DOPPLER MEAN VELOCITY WAVEFORM [J].
KASSAM, MS ;
COBBOLD, RSC ;
JOHNSTON, KW ;
GRAHAM, CM .
ULTRASOUND IN MEDICINE AND BIOLOGY, 1982, 8 (05) :537-544
[9]   COMPUTER-BASED CLASSIFICATION OF CAROTID ARTERIAL-DISEASE - A PROSPECTIVE ASSESSMENT [J].
KNOX, RA ;
GREENE, FM ;
BEACH, K ;
PHILLIPS, DJ ;
CHIKOS, PM ;
STRANDNESS, DE .
STROKE, 1982, 13 (05) :589-594
[10]   COMPUTER-BASED PATTERN-RECOGNITION OF CAROTID-ARTERY DOPPLER SIGNALS FOR DISEASE CLASSIFICATION - PROSPECTIVE VALIDATION [J].
LANGLOIS, YE ;
GREENE, FM ;
ROEDERER, GO ;
JAGER, KA ;
PHILLIPS, DJ ;
BEACH, KW ;
STRANDNESS, DE .
ULTRASOUND IN MEDICINE AND BIOLOGY, 1984, 10 (05) :581-595