Heart Rate Variability Study Based on a Novel RdR RR Intervals Scatter Plot_Journal of Biomedical Engineering

Authors：

 LUHongwei , LUXiuyun , WANGChunfang , HUAYouyuan , TIANJiajia , LIUShihai

College of Medical Instrument and Food, University of Shanghai for Science and Technology, Shanghai 200093, China;

Corresponding author：

LUHongwei, Email: luhongwei_mail@sohu.com

Keywords：

RdR scatter plot; Poincare scatter plot; first order difference scatter plot; heart rate variability

DOI：

10.7507/1001-5515.20140139

Video：

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On the basis of Poincare scatter plot and first order difference scatter plot, a novel heart rate variability (HRV) analysis method based on scatter plots of RR intervals and first order difference of RR intervals (namely, RdR) was proposed. The abscissa of the RdR scatter plot, the x-axis, is RR intervals and the ordinate, y-axis, is the difference between successive RR intervals. The RdR scatter plot includes the information of RR intervals and the difference between successive RR intervals, which captures more HRV information. By RdR scatter plot analysis of some records of MIT-BIH arrhythmias database, we found that the scatter plot of uncoupled premature ventricular contraction (PVC), coupled ventricular bigeminy and ventricular trigeminy PVC had specific graphic characteristics. The RdR scatter plot method has higher detecting performance than the Poincare scatter plot method, and simpler and more intuitive than the first order difference method.

Citation： LUHongwei, LUXiuyun, WANGChunfang, HUAYouyuan, TIANJiajia, LIUShihai. Heart Rate Variability Study Based on a Novel RdR RR Intervals Scatter Plot. Journal of Biomedical Engineering, 2014, 31(4): 747-750. doi: 10.7507/1001-5515.20140139 Copy

1.	PARK J, LEE S, JEON M. Atrial fibrillation detection by heart rate variability in Poincare plot[J]. Biomed Eng Online, 2009, 8: 38-43.
2.	ANAN T, SUNAGAWA K, ARAKI H, et al. Arrhythmia analysis by successive RR plotting[J]. J Electrocardiol, 1990, 23(3): 243-248.
3.	徐秋萍,张辉,葛霁光,等.与冠脉病变程度相关的线性和非线性心率变异分析[J].中华物理医学杂志,1997,19(2):65-68.
4.	STRUMILLO P, RUTA J. Poincaré mapping for detecting abnormal dynamics of cardiac repolarization[J]. IEEE Eng Med Biol Mag, 2002, 21(1): 62-65.
5.	GHODRATI A, MURRAY B, MARINELLO S. RR interval analysis for detection of atrial fibrillation in ECG monitors[C]//30th Annual International IEEE EMBS Conference. Vancouver, British Columbia, Canada: 2008: 601-604.
6.	LU H W, SUN Y, LIN M, et al. A probability density function method for detecting atrial fibrillation using R-R intervals[J]. Med Eng Phys, 2009, 31(1): 116-123.
7.	陆宏伟.利用R-R间期辨别房颤与正常窦性心律[J].生物医学工程学杂志,2010,27(1):183-187.
8.	GREGOSKI M J, MUELLER M, VERTEGEL A, et al. Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications[J]. Int J Telemed Appl, 2012, 2012: 696-702.
9.	陈杭,文峰,李顶立,等.基于RR间期一阶差分的新型散点图心率变异性分析[J].东南大学学报:自然科学版,2007,37(3):395-398.
10.	SARKAR S, RITSCHER D, MEHRA R. A detector for a chronic implantable atrial tachyarrhythmia monitor[J]. IEEE Trans Biomed Eng, 2008, 55(3): 1219-1224.
11.	PETRUCCI E, BALIAN V, FILIPPINI G, et al. Atrial fibrillation detection algorithms for very long term ECG monitoring[C]. Computational Cardiology, 2005, 32: 623-626.
12.	GOLDBERGER A L, AMARAL L A, GLASS L, et al. PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals[J]. Circulation, 2000, 101(23): E215-E220.

1. PARK J, LEE S, JEON M. Atrial fibrillation detection by heart rate variability in Poincare plot[J]. Biomed Eng Online, 2009, 8: 38-43.
2. ANAN T, SUNAGAWA K, ARAKI H, et al. Arrhythmia analysis by successive RR plotting[J]. J Electrocardiol, 1990, 23(3): 243-248.
3. 徐秋萍,张辉,葛霁光,等.与冠脉病变程度相关的线性和非线性心率变异分析[J].中华物理医学杂志,1997,19(2):65-68.
4. STRUMILLO P, RUTA J. Poincaré mapping for detecting abnormal dynamics of cardiac repolarization[J]. IEEE Eng Med Biol Mag, 2002, 21(1): 62-65.
5. GHODRATI A, MURRAY B, MARINELLO S. RR interval analysis for detection of atrial fibrillation in ECG monitors[C]//30th Annual International IEEE EMBS Conference. Vancouver, British Columbia, Canada: 2008: 601-604.
6. LU H W, SUN Y, LIN M, et al. A probability density function method for detecting atrial fibrillation using R-R intervals[J]. Med Eng Phys, 2009, 31(1): 116-123.
7. 陆宏伟.利用R-R间期辨别房颤与正常窦性心律[J].生物医学工程学杂志,2010,27(1):183-187.
8. GREGOSKI M J, MUELLER M, VERTEGEL A, et al. Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications[J]. Int J Telemed Appl, 2012, 2012: 696-702.
9. 陈杭,文峰,李顶立,等.基于RR间期一阶差分的新型散点图心率变异性分析[J].东南大学学报:自然科学版,2007,37(3):395-398.
10. SARKAR S, RITSCHER D, MEHRA R. A detector for a chronic implantable atrial tachyarrhythmia monitor[J]. IEEE Trans Biomed Eng, 2008, 55(3): 1219-1224.
11. PETRUCCI E, BALIAN V, FILIPPINI G, et al. Atrial fibrillation detection algorithms for very long term ECG monitoring[C]. Computational Cardiology, 2005, 32: 623-626.
12. GOLDBERGER A L, AMARAL L A, GLASS L, et al. PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals[J]. Circulation, 2000, 101(23): E215-E220.

Journal of Biomedical Engineering

Heart Rate Variability Study Based on a Novel RdR RR Intervals Scatter Plot

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