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Titolo:
PARAMETER EVALUATION OF THE INVERSE POWER-LAW SPECTRUM OF HEART-RATE - A QUANTITATIVE APPROACH FOR ECG ARRHYTHMIA ANALYSIS
Autore:
LUO S; TOMPKINS WJ;
Indirizzi:
UNIV WISCONSIN,DEPT ELECT & COMP ENGN,1415 JOHNSON DR MADISON WI 53706 UNIV WISCONSIN,DEPT ELECT & COMP ENGN MADISON WI 53706
Titolo Testata:
Journal of electrocardiology
, volume: 27, anno: 1994, supplemento:, S
pagine: 46 - 52
SICI:
0022-0736(1994)27:<46:PEOTIP>2.0.ZU;2-F
Fonte:
ISI
Lingua:
ENG
Soggetto:
RATE-VARIABILITY; ALGORITHM;
Keywords:
INVERSE POWER-LAW SPECTRUM; ECG ARRHYTHMIA ANALYSIS; FREQUENCY DOMAIN; TEMPORAL FRACTAL MODEL;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
9
Recensione:
Indirizzi per estratti:
Citazione:
S. Luo e W.J. Tompkins, "PARAMETER EVALUATION OF THE INVERSE POWER-LAW SPECTRUM OF HEART-RATE - A QUANTITATIVE APPROACH FOR ECG ARRHYTHMIA ANALYSIS", Journal of electrocardiology, 27, 1994, pp. 46-52

Abstract

A preliminary study was performed to ensure reliable R-wave detectionand fiducial mark location. A generalized phase-sampling model for spectral estimation was then used, based on an interest in beat-to-beat variations. Heart rate spectrum characteristics of 32 presumed-normal subjects and 44 records from the MIT-BIH electrocardiographic database(Massachusetts Institute of Technology, Cambridge, MA) were analyzed and three parameters were calculated: regression line slope, intercept, and cross correlation between the spectral data and the regression lines. Evaluation of these inverse power-law spectrum parameters provides a potential quantitative approach for characterizing erratic fluctuations of heart rate and is possibly used to distinguish between healthy and abnormal subjects. From the 44 recordings in the MIT-BIH database, a V-shaped curve was found in a plot of the regression line slope versus cross correlation. The results for both unmedicated and medicated patients with normal sinus rhythm cluster in the top left region ofthe graph. Also, 29 of the presumed-normal subjects cluster in the same region. Patients with premature ventricular contraction beats cluster in the top right region of the V-shaped curve. The rest of the recordings from the variety of arrhythmia cases in the database have low slopes and cross correlations, so they cluster near the apex of the V-shaped curve. Three volunteers who each had more than 32 atrial premature contraction and premature ventricular contraction beats also fall in this region of the graph. The results from 10 young volunteers from the United States and 15 volunteers from seven other countries clusterinto different regions. Also, presumed-normal subjects plot in different locations during relaxation and under stress, as well as when theyare asleep or awake. Many patients in the MIT-BIH database have regression line slopes greater than those from the presumed-normal subjects, leading to a conclusion that abnormal rhythm may decrease in low-frequency fluctuations or increase in high-frequency fluctuations. Also, heart rate frequency spectrum distributions were analyzed for three different temporal lengths of each electrocardiogram to investigate the hypothesis of temporal self-similarity. These results do not support this hypothesis.

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Documento generato il 09/07/20 alle ore 13:34:48