Multiscale entropy and poincare plot-based analysis of pulse rate variability and heart rate variability of ICU patients

2015 ◽  
Author(s):  
Rohit Parasnis ◽  
Akshay Pawar ◽  
M. Manivannan
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Rate ◽  
Multiscale Entropy ◽  
Poincaré Plot ◽  
Pulse Rate Variability ◽  
Icu Patients

scholarly journals Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Elisa Mejía-Mejía ◽  
James M. May ◽  
Mohamed Elgendi ◽  
Panayiotis A. Kyriacou
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Rate ◽  
Pulse Transit Time ◽  
Pulse Rate Variability ◽  
Physiological Factors ◽  
Ecg Signals ◽  
Non Invasive ◽  
Electrocardiogram Ecg

AbstractHeart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.

Comment on ‘pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability’

2021 ◽  
Vol 42 (9) ◽  
pp. 098001
Author(s):  
Jacquelin Peck ◽  
Michael J Wishon ◽  
Harrison Wittels ◽  
Hector Davila ◽  
S Howard Wittels ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Rate ◽  
Cardiovascular Health ◽  
Pulse Rate Variability

scholarly journals Heart Rate Variability (HRV) and Pulse Rate Variability (PRV) for the Assessment of Autonomic Responses

2020 ◽  
Vol 11 ◽  
Author(s):  
Elisa Mejía-Mejía ◽  
Karthik Budidha ◽  
Tomas Ysehak Abay ◽  
James M. May ◽  
Panayiotis A. Kyriacou
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Rate ◽  
Pulse Rate Variability ◽  
Autonomic Responses

scholarly journals Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability

2020 ◽  
Vol 41 (7) ◽  
pp. 07TR01 ◽  
Author(s):  
Elisa Mejía-Mejía ◽  
James M May ◽  
Robinson Torres ◽  
Panayiotis A Kyriacou
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Rate ◽  
Cardiovascular Health ◽  
Pulse Rate Variability

Pulse rate variability is not a surrogate for heart rate variability

1999 ◽  
Vol 97 (4) ◽  
pp. 391 ◽  
Author(s):  
Isabelle CONSTANT ◽  
Dominique LAUDE ◽  
Isabelle MURAT ◽  
Jean-Luc ELGHOZI
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Rate ◽  
Pulse Rate Variability

Effects of Electrical Acupuncture on Acupoint BL15 Evaluated in Terms of Heart Rate Variability, Pulse Rate Variability and Skin Conductance Response

2006 ◽  
Vol 34 (01) ◽  
pp. 23-36 ◽  
Author(s):  
Chih-Chieh Hsu ◽  
Ching-Sung Weng ◽  
Te-Sheng Liu ◽  
Yuh-Show Tsai ◽  
Yung-Hsien Chang
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Skin Conductance ◽  
Pulse Rate ◽  
Skin Conductance Response ◽  
Control Group ◽  
Pulse Rate Variability ◽  
Electrical Acupuncture ◽  
Experimental Group ◽  
Frequency Power

In this research, heart rate variability (HRV), pulse rate variability (PRV) and human skin conductance (SC) of all acupoints on Heart Meridian were used to evaluate the effects of electrical acupuncture (EA) on acupoint BL15 (Bladder Meridian). Ten healthy volunteers (aged 23 ± 6) were selected as the control group on the first day, and then used again as the experimental group on the second day. The control group received sham EA during the study, while subjects of the experimental group were stimulated by 2 Hz EA on acupoint BL15 for 10 minutes. Electrocardiogram (ECG), wrist blood pressure pulse meter and skin conductance response (SCR) device were used to measure and analyze HRV, PRV and SCR for the two groups before and after stimulation. From the spectrum analysis of ECG and pulse pressure graph, we found that the EA applied on BL15 could induce a significant increase in the normalized high frequency power (nHFP) component of HRV and PRV, as well as a significant decrease in the normalized low frequency power (nLFP) part ( p < 0.05). Moreover, both the heart rate and pulse rate were reduced in the analysis of the time domain of ECG and PRV. Furthermore, most of the SCR values at acupoints were decreased after stimulation. These results also indicate that the stimulation of BL15 by EA could cause relaxation, calmness and reduce feeling of tension or distress.

scholarly journals Longitudinal Changes and Recovery in Heart Rate Variability of Young Healthy Subjects When Exposure to a Hypobaric Hypoxic Environment

2022 ◽  
Vol 12 ◽  
Author(s):  
Chenbin Ma ◽  
Haoran Xu ◽  
Muyang Yan ◽  
Jie Huang ◽  
Wei Yan ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Frequency Domain ◽  
Time Domain ◽  
Healthy Subjects ◽  
Multiscale Entropy ◽  
Healthy Population ◽  
Poincaré Plot ◽  
Longitudinal Changes ◽  
Hypoxic Environment

Background: The autonomic nervous system (ANS) is crucial for acclimatization. Investigating the responses of acute exposure to a hypoxic environment may provide some knowledge of the cardiopulmonary system’s adjustment mechanism.Objective: The present study investigates the longitudinal changes and recovery in heart rate variability (HRV) in a young healthy population when exposed to a simulated plateau environment.Methods: The study followed a strict experimental paradigm in which physiological signals were collected from 33 healthy college students (26 ± 2 years, 171 cm ± 7 cm, 64 ± 11 kg) using a medical-grade wearable device. The subjects were asked to sit in normoxic (approximately 101 kPa) and hypoxic (4,000 m above sea level, about 62 kPa) environments. The whole experimental process was divided into four stable resting measurement segments in chronological order to analyze the longitudinal changes of physical stress and recovery phases. Seventy-six time-domain, frequency-domain, and non-linear indicators characterizing rhythm variability were analyzed in the four groups.Results: Compared to normobaric normoxia, participants in hypobaric hypoxia had significantly lower HRV time-domain metrics, such as RMSSD, MeanNN, and MedianNN (p &lt; 0.01), substantially higher frequency domain metrics such as LF/HF ratio (p &lt; 0.05), significantly lower Poincaré plot parameters such as SD1/SD2 ratio and other Poincaré plot parameters are reduced considerably (p &lt; 0.01), and Refined Composite Multi-Scale Entropy (RCMSE) curves are reduced significantly (p &lt; 0.01).Conclusion: The present study shows that elevated heart rates, sympathetic activation, and reduced overall complexity were observed in healthy subjects exposed to a hypobaric and hypoxic environment. Moreover, the results indicated that Multiscale Entropy (MSE) analysis of RR interval series could characterize the degree of minor physiological changes. This novel index of HRV can better explain changes in the human ANS.

scholarly journals Pulse rate variability: a new biomarker, not a surrogate for heart rate variability

2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Emi Yuda ◽  
Muneichi Shibata ◽  
Yuki Ogata ◽  
Norihiro Ueda ◽  
Tomoyuki Yambe ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Rate ◽  
Pulse Rate Variability
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