Abstract—The function of heart rate variability (HRV) has been studied over the years, but less is known about the factors predicting recovery from work stress during sleep. The availability to register reliable data for short-time HRV has raised the interest to find the congestive HRV signal. The objective of this study was to identify individual-level factors related to work and leisure-time predicting the recovery of autonomic nervous system (ANS) during congestion measured by 24-h HRV. 15 subjects (11 men, aged 22 to 71, and 4 women, aged 54 to 63) with severe congestive heart failure (NYHA class 3-4). This group of subjects was part of a larger study group receiving conventional medical therapy prior to receiving the oral inotropic agent, milrinone. Questionnaire data was gathered with a self-administered questionnaire of individual characteristics, perceived work ability, stress and psychological resources. The individual recordings are each about 20 hours in duration, and contain two ECG signals each sampled at 250 samples per second with 12-bit resolution over a range of ±10 millivolts. In this study, we only calculate first 15 minus of each subject.

Index Terms—Pointcaré plot, heart rate variability, chaos, congestive heart failure.

Hoang Chu Duc, Thuan Nguyen Duc, and Hung Pham Manh are with the Department of Electronics Technology and Biomedical Engineering, School of Electronics and Telecommunications, Hanoi University of Scicence and Technology, Hanoi, Vietnam (e-mail: hoang.chuduc@hust.edu.vn, thuan.nguyenduc @hust.edu.vn).
Dung Nguyen Viet is with Center of Electronics and Biomedical, Hanoi University of Scicence and Technology, Hanoi, Vietnam (e-mail: trung.laihuuphuong@hust.edu.vn).

 

Cite:Hoang Chu Duc, Hung Pham Manh, Thuan Nguyen Duc, and Dung Nguyen Viet, "Detecting Congestive Heart Rate Variability Failure Using Pointcaré Trend Analysis Plot," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 3, no. 6, pp. 566-569, 2013.