scholarly journals The Digi-NewB project for preterm infant sepsis risk and maturity analysis

2018 ◽  
Vol 10 (2-3) ◽  
Author(s):  
Alpo Värri ◽  
Antti Kallonen ◽  
Elina Helander ◽  
Andres Ledesma ◽  
Patrick Pladys
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Preterm Infant ◽  
Careful Analysis ◽  
Physiological Signals ◽  
P Value ◽  
Term Infants ◽  
Ecg Signals ◽  
Clinical Observations ◽  
Sepsis Risk

It is known from the literature that the careful analysis of the heart rate variability of a preterm infant can be used as a predictor of sepsis. The Digi-NewB project aims at collecting a database of at least 750 preterm infants including physiological signals, video and clinical observations. These data are used to design a decision support system for the early detection of sepsis and for the evaluation of the infant maturity. The preparation of the data for the exploratory analysis has turned out to be time-consuming. 190 infants have been recorded by March 2018 and of these, the R-R interval analysis of the ECG signals has been completed of 136 infants. The results of the project are still preliminary but seven heart rate variability parameters have been found to be different in preterm and full-term infants with a P value less than 0.01. The video analysis algorithm detecting the presence of personnel or relatives reached 96.8% of sensitivity and 95.1% of specificity.

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.

scholarly journals Self-reported and physiological reactions to the third BNT162b2 mRNA COVID-19 (booster) vaccine dose

2021 ◽  
Author(s):  
Merav Mofaz ◽  
Matan Yechezkel ◽  
Grace Guan ◽  
Margaret L. Brandeau ◽  
Tal Patalon ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Booster Dose ◽  
Vaccination Campaign ◽  
Vaccine Dose ◽  
P Value ◽  
Booster Vaccine ◽  
The Third ◽  
Systemic Reactions ◽  
Physiological Reactions

AbstractBackgroundThe rapid rise in hospitalizations associated with the Delta-driven COVID-19 resurgence, and the imminent risk of hospital overcrowding, led the Israeli government to initialize a national third (booster) COVID-19 vaccination campaign in early August 2021, offering the BNT162b2 mRNA vaccine to individuals who received their second dose over five months ago. However, the safety of the third (booster) dose has not been fully established yet.ObjectiveEvaluate the short-term, self-reported and physiological reactions to the third BNT162b2 mRNA COVID-19 (booster) vaccine dose.DesignA prospective observational study, in which participants are equipped with a smartwatch and fill in a daily questionnaire via a dedicated mobile application for a period of 21 days, starting seven days before the vaccination.SettingAn Israel-wide third (booster) vaccination campaign.ParticipantsA group of 1,609 (18+ years of age) recipients of at least one dose of the BNT162b2 vaccine between December 20, 2020, and September 15, 2021, out of a larger cohort of 2,912 prospective study participants. 1,344 of the participants were recipients of the third vaccine dose.MeasurementsDaily self-reported questionnaires regarding local and systemic reactions, mood level, stress level, sport duration, and sleep quality. Heart rate, heart rate variability and blood oxygen saturation level were continuously measured by Garmin Vivosmart 4 smartwatches.ResultsThe extent of systemic reactions reported following the third (booster) dose administration is similar to that reported following the second dose (p-value=0.305) and considerably greater than that reported following the first dose (p-value<0.001). Our analyses of self-reported well-being indicators as well as the objective heart rate and heart rate variability measures recorded by the smartwatches further support this finding. Focusing on the third dose, reactions were more apparent in younger participants (p-value<0.01), in women (p-value<0.001), and in participants with no underlying medical conditions (p-value<0.001). Nevertheless, reported reactions and changes in physiological measures returned to their baseline levels within three days from inoculation with the third dose.LimitationsParticipants may not adequately represent the vaccinated population in Israel and elsewhere.ConclusionOur work further supports the safety of a third COVID-19 BNT162b2 mRNA (booster) vaccine dose from both a subjective and an objective perspective, particularly in individuals 65+ years of age and those with underlying medical conditions.Primary funding sourceEuropean Research Council (ERC) project #949850

APPLICATION OF EMPIRICAL MODE DECOMPOSITION–BASED FEATURES FOR ANALYSIS OF NORMAL AND CAD HEART RATE SIGNALS

2016 ◽  
Vol 16 (01) ◽  
pp. 1640002 ◽  
Author(s):  
SURABHI SOOD ◽  
MOHIT KUMAR ◽  
RAM BILAS PACHORI ◽  
U. RAJENDRA ACHARYA
Keyword(s):  
Heart Rate ◽  
Empirical Mode Decomposition ◽  
P Value ◽  
Computer Assisted ◽  
Intrinsic Mode Functions ◽  
Mean Frequency ◽  
Ecg Signals ◽  
Mode Decomposition ◽  
Artery Disease ◽  
Assisted Diagnosis

Coronary Artery Disease (CAD) is a heart disease caused due to insufficient supply of nutrients and oxygen to the heart muscles. Hence, reduced supply of nutrients and oxygen causes heart attack or stroke and may cause death. Also significant number of people are suffering from CAD around the world so timely diagnosis of CAD can save the life of patients. In this work, we have proposed computer assisted diagnosis of CAD using Heart Rate (HR) signals obtained from Electrocardiogram (ECG) signals. We have used the Empirical Mode Decomposition (EMD) technique to process the HR signals. The features namely: Second-Order Difference Plot (SODP) area, Analytic Signal Representation (ASR) area, Amplitude Modulation (AM) bandwidth, Frequency Modulation (FM) bandwidth and Fourier–Bessel expansion (FBE)- based mean frequency computed from the Intrinsic Mode Functions (IMFs) are extracted to discriminate normal and CAD subjects. Thereafter, Kruskal–Wallis statistical test is performed on these features. The features having p-value less than 0.05 are considered to be significant. Our results show that three features namely: AM bandwidth, FM bandwidth and FBE-based mean frequency are more suitable than ASR area and SODP area features for discrimination of normal and CAD subjects.

scholarly journals The effect of deep breathing test on heart rate variability in obese and non-obese patients with myocardial infarction

Biomedicine ◽  
2021 ◽  
Vol 41 (1) ◽  
pp. 93-98
Author(s):  
Srinath C. Galag ◽  
R Rajalakshmi ◽  
Nagaraj Desai ◽  
H Basavanagowdappa
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Obese Group ◽  
Total Power ◽  
P Value ◽  
Obese Patients ◽  
Deep Breathing ◽  
Deep Breathing Test

Introduction and Aim:Obesity and metabolic syndrome increases the risk of cardiovascular diseases (CVD).The acute myocardial infarction may be associated with autonomic dysfunction and it may have a bearing on the prognosis. The objective of the study wasto examine the effect of deep breathing test on heart rate variability in obese and non-obese patients with myocardial infarction (MI).   Materials and Methods:The patients with acute myocardial infarction were confirmed by universal definition and treatment was administered. At 12 weeks of follow up, the MI patients were screened and divided into two groups. 30 patients of MI with BMI 25 to 30 kg/m2 formed the obese group.30 patients of MI with BMI 18.5 to 24.9 kg/m2 formed the non-obese group. The baseline ECG was taken for 5 minutes by using Niviqure B3 machine for HRV analysis. Then, deep breathing test (DBT) was performed in a standardized manner.   Results:The two groupswere well matched for the age (53.7±11.5 vs.55.2±9.2years).In the baseline there was a statistically significant decrease in the total power (TP) of the heart i.e., HF plus LF (2178±762ms2 vs2991±771ms2 with a ‘p’ value 0.001) in the obese group when compared to non-obese group. On DBT there was a significant decrease in heart rate (81bpm to 65bpm) in non-obese group. However, in obese group there was no significant decrease in heart rate (79bpm to 72bpm) on DBT.   Conclusion: Accordingly, we concludethat in obese patients with MI there is a reduction in respiratory vagal modulation of heart rate during DBT.  

Sign in / Sign up

Export Citation Format

Share Document