Detecting Congestive Heart Rate Variability Failure Using Pointcaré Trend Analysis Plot
International Journal of Bioscience Biochemistry and Bioinformatics
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
... 1 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. He has 8 years' experience at researcher in biomedical equipment design, signal processing and teaching. His key qualifications (relevant to the project): Analysis, design, implementation of information systems and management for hospitals and clinics; Quality management for software processing; Coordinating projects and planning medical equipment; Supervision for IT projects; Preparing bidding documents, bid evaluation; Project management and coordination for such domestic agencies as FPT, Viettel, Panasonic, Department of IT, Ministry of Health, CMC, IBM, Oracle, hospitals as well as foreign partners from Singapore, Japan, Australia, Malaysia. Since 2010, he does PhD research with project "Impact analysis between the ECG signal and the common defense of the Vietnamese" Thuan Nguyen Duc is a lecture and Technology. He has over 30 years' experience in biomedical equipment design, signal processing and teaching. Hung Pham Manh is a researcher and Technology. He has over 7 years' experience in biomedical equipment design, signal processing and teaching. Dung Nguyen Viet is a director at Center of Electronics and Biomedical, Hanoi University of Scicence and Technology, Hanoi. He has over 10 years' experience in biomedical equipment design, signal processing and teaching.