Application of the Poincaré plot to heart rate variability: a new measure of functional status in heart failure

作者：Peter Walter Kamen, Andrew Maxwell Tonkin · 发表于：Australian and New Zealand Journal of Medicine · 年份：1995 · DOI：10.1111/j.1445-5994.1995.tb00573.x · 被引用次数：203 · 研究领域：Heart Rate Variability and Autonomic Control、Healthcare Technology and Patient Monitoring、Heart rate and cardiovascular health

BACKGROUND: Conventional methods of quantifying heart rate variability using summary statistics have shown that decreased variability is associated with increased mortality in heart failure. However, many patients with heart failure have arrhythmias which make the 'raw' heart rate variability data less suitable for the use of summary statistical measures. AIMS: To examine the clinical potential of a new measure of heart rate variability data, presented by the Poincaré plot pattern, as an adjunct to the summary statistical measures of R-R interval variability. METHODS: We used the Poincaré plot pattern to display beat-to-beat heart rate variability data from a group of 23 patients with heart failure and compared them with data collected from 20 healthy age-matched control subjects. The data, which consists of 2000 consecutive R-R intervals, were gathered over 20-40 minutes while the subjects rested supine in a quiet darkened room. RESULTS: The morphological classification scheme proposed reflected the functional status of patients in heart failure. There was a significant difference (chi-square = 27.5, p < 0.0001) in the different pattern types between patients with NYHA Class I and II compared to patients with NYHA Class II and IV. All healthy subjects displayed a 'cluster' type of pattern characterised by normally distributed data. Sixteen of the 23 patients in heart failure also produced data which were normally distributed but the remaining seven produced data which requir...