scholarly journals Optimal Length of Heart Rate Variability Data and Forecasting Time for Ventricular Fibrillation Prediction Using Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Da Un Jeong ◽  
Getu Tadele Taye ◽  
Han-Jeong Hwang ◽  
Ki Moo Lim
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Ventricular Fibrillation ◽  
World Health ◽  
Artificial Neural Network Classifier ◽  
Life Threatening ◽  
Causes Of Mortality ◽  
Health Organization ◽  
Forecast Time ◽  
Data Length

Ventricular fibrillation (VF) is a cardiovascular disease that is one of the major causes of mortality worldwide, according to the World Health Organization. Heart rate variability (HRV) is a biomarker that is used for detecting and predicting life-threatening arrhythmias. Predicting the occurrence of VF in advance is important for saving patients from sudden death. We extracted features from seven HRV data lengths to predict the onset of VF before nine different forecast times and observed the prediction accuracies. By using only five features, an artificial neural network classifier was trained and validated based on 10-fold cross-validation. Maximum prediction accuracies of 88.18% and 88.64% were observed at HRV data lengths of 10 and 20 s, respectively, at a forecast time of 0 s. The worst prediction accuracy was recorded at an HRV data length of 70 s and a forecast time of 80 s. Our results showed that features extracted from HRV signals near the VF onset could yield relatively high VF prediction accuracies.

scholarly journals Decreased Heart Rate Variability in COVID-19

2021 ◽  
pp. 1-6
Author(s):  
Lei Xu ◽  
Chengfen Yin ◽  
Jianguo Li ◽  
Zhiyong Wang ◽  
Yongle Zhi ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Sinus Node ◽  
Antiviral Drugs ◽  
Alveolar Epithelial Cells ◽  
World Health ◽  
Alveolar Epithelial ◽  
Preclinical Phase ◽  
Cardiac Autonomic Dysfunction ◽  
Health Organization

On March 12, 2020, the World Health Organization (WHO) announced that the coronavirus disease 2019 (COVID-19) outbreak had become a pandemic. COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which primarily infects the lower airways and binds to Angiotensin-Converting Enzyme 2 (ACE2) on alveolar epithelial cells. ACE2 is widely expressed, not only in the lungs but also in the cardiovascular system. Therefore, SARS-CoV-2 can also damage the myocardium. We analysed three COVID-19 cases that resulted in death and found that either COVID-19 or antiviral drugs could affect the coupling between the autonomic nervous system and the sinus node, thus affecting heart rate variability and preventing the heart rate from rising in response to the increase in body temperature. Early detection of the preclinical phase of cardiac autonomic dysfunction may help determine patients in need of aggressive treatment and control of cardiovascular risk factors. Antiviral drugs should be used with caution in patients with heart injury.

scholarly journals Endothelial dysfunction and reduced heart rate variability in patients with metabolic syndrome

2018 ◽  
Vol 12 (1) ◽  
pp. 51
Author(s):  
Elena Nikolaevna Smirnova ◽  
Evgeniya Alexandrovna Loran ◽  
Sofia Grigorievna Shulkina ◽  
Sergey Yurievich Podtaev ◽  
Maxim Victorovich Trushin
Keyword(s):  
Metabolic Syndrome ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Endothelial Dysfunction ◽  
Heart Rhythm ◽  
Developed Countries ◽  
Cold Test ◽  
World Health ◽  
Complex Investigation ◽  
Health Organization

According to experts of the World Health Organization (WHO), metabolic syndrome (MS) can be considered as pandemy of the XXI century, because its prevalence among the population of developed countries is about 25-35%. In this study with the purpose of complex investigation of the autonomic nervous system and endothelial function we included 66 patients with MS between the ages of 25 and 61 (46.9±9.9 years). A comparison group of apparently healthy individuals (16 individuals, average age of 45.3±2.3 years; P>0.05) was studied. To evaluate the response of microvascular tone, we used the method of wavelet analysis of skin temperature oscillations during cooling of the limb. All patients underwent the study of heart rate variability. The levels of insulin, endothelin-1, and vascular endothelial growth factor were determined using enzyme immunoassay. Patients with MS had significant differences in all metabolic parameters. Our study showed that in the group of MS there is a decrease of the variability of heart rhythm compared with the healthy group. Conducting cold test revealed signs of endothelial dysfunction in the MS group, which was manifested by the decrease of the index of vasodilation in the endothelial and neurogenic frequency range. In the study group we determined the increase in biochemical markers of endothelial dysfunction, which correlated with parameters of vasodilation. Also, the presence of endothelial dysfunction significantly correlated with signs of reduction of the variability of the heart rhythm.

Comparativa de modelos multivariados basados en aprendizaje automático para la predicción del riesgo de diabetes en etapas tempranas

2021 ◽  
Author(s):  
◽  
Zayra Ramírez Gaytán
Keyword(s):  
World Health ◽  
Degenerative Diseases ◽  
Decision Tree Algorithm ◽  
Data Set ◽  
The World ◽  
Long Time ◽  
Life Threatening ◽  
Health Organization ◽  
Logistic Regression Algorithm ◽  
Asymptomatic Phase

Diabetes is one of the fastest-growing, life-threatening, chronic degenerative diseases. According to the World Health Organization (WHO), it has affected 422 million people worldwide in 2018. Approximately 50% of all people who suffer diabetes are not diagnosed due to the asymptomatic phase which usually lasts a long time. In this work, a data set of 520 instances has been used. The data set has been analyzed with the next three algorithms: logistic regression algorithm, decision trees and random forest. The results show that the decision tree algorithm had better performance with an AUC of 98%. Also, it was found the most common symptoms that a person with a risk of diabetes presents are polyuria, polydipsia and sudden weight loss.

scholarly journals COVID-19- or Tramadol-induced Seizure: A Differential Diagnosis in Young People

2020 ◽  
Vol 10 (4) ◽  
pp. 32009.1-32009.2
Author(s):  
Solmaz Nekoueifard ◽  
◽  
Mohammad Majidi ◽  
Keyword(s):  
Myocardial Infarction ◽  
Acute Kidney Injury ◽  
Differential Diagnosis ◽  
Acute Respiratory Distress Syndrome ◽  
Distress Syndrome ◽  
Kidney Injury ◽  
World Health ◽  
The World ◽  
Life Threatening ◽  
Health Organization

Coronavirus disease 2019 (COVID-19) was first declared in December 2019 from Wuhan, China [1, 2]. It then has been reported a pandemic in March 2020 by the World Health Organization [3]. Clinical features of COVID-19 are different from asymptomatic to mild to moderate symptoms, such as fever, headache, myalgia, sore throat, anosmia, cough, fatigue headache, hemoptysis, and dyspnea to the life-threatening complications, including shock, pneumonia, acute respiratory distress syndrome, myocarditis, myocardial infarction, acute kidney injury, multi-organ failure, and even death [1, 2].

Risk Mortality, prevalence, and possible therapeutics to treat diabetic patients infected with nCOVID-19

2021 ◽  
Vol 17 ◽  
Author(s):  
Sumel Ashique ◽  
Navjot K Sandhu
Keyword(s):  
World Health ◽  
Diabetic Patients ◽  
Older Individuals ◽  
Health Crisis ◽  
Life Threatening ◽  
Global Concern ◽  
Health Organization ◽  
Modern Era ◽  
Current Potential

: The whole world is facing the current potential life-threatening virus nCOVID-19, the most severe health crisis in the modern era. The World Health Organization (WHO) has announced the nCOVID-19 as a pandemic in global concern. People with diabetes are not more likely to get nCOVID-19 than the general population. However, nCOVID-19 can cause more severe symptoms and complications in some people living with Diabetes. Older individuals and individuals with previous ailments, (such as diabetes, coronary illness, and asthma) have all the earmarks of being more susceptible to nCOVID-19 infection. People having diabetic condition becomes more challenging to treat against nCOVID-19 due to firstly, the insusceptible systemic undermined, making it harder to battle the infection and likely prompting a more drawn out recuperation period and secondly the infection may flourish in a situation of raised blood glucose. Various therapeutic (anti-diabetic drugs) approaches are available to treat diabetic patients from having nCOVID-19. This review mainly focused on the effect of this virus on type diabetic patients, mortality rate, the mechanism involved, associated complications, and the role of vitamin D, Zn, therapeutics, and prevention procedure.

The Effect Of Fe Tablet Consumption On Hemoglobin (Hb) Increase In Pregnant Women: A Systematic Literature Review

2020 ◽  
Vol 6 (2) ◽  
pp. 8-13
Author(s):  
Admin midwiferia ◽  
Pratiwi Cahya Skania ◽  
Djaswadi Dasuki ◽  
Fitriana Siswi Utami
Keyword(s):  
Pregnant Women ◽  
Critical Appraisal ◽  
World Health ◽  
Exclusion Criteria ◽  
Iron Supplements ◽  
Level Increase ◽  
The World ◽  
Life Threatening ◽  
Health Organization ◽  
Selection Of

Anemia is still a problem in developing countries. The World Health Organization states that there are still more than 50 percent of women in the world suffering from anemia. anemia can cause life-threatening bleeding, miscarriage, low birth weight and premature birth. WHO defines anemia as a condition where the hemoglobin level is less than 11 mg / dL in the first and last trimester or 10.5 mg / dL in the second trimester or the hematocrit level is less than 37 percent. The study aim to determine the effect of Fe tablets consumption on hemoglobin (Hb) level increase in pregnant women and to find out the factors related to the compliance of pregnant women taking Fe tablets.  This Systematic Literature Publication and Science uses databases with the period 2008-2018. The selection of articles was based on the inclusion and exclusion criteria. The Appraisal study employed The Joanna Briggs Institute Critical Appraisal Tools. Taking Fe tablets is very influential in increasing levels of Hb in pregnant women who suffer from anemia. Effective iron supplements to reduce anemia in pregnancy. Support from family and closest people has an important role in increasing adherence to taking Fe tablets.

School Nurses on the Front Lines of Healthcare: Infectious Diseases Popularized in the News

2020 ◽  
Vol 35 (4) ◽  
pp. 212-216
Author(s):  
Lauren McNickle ◽  
Robert P. Olympia
Keyword(s):  
Infectious Diseases ◽  
School Nurses ◽  
World Health ◽  
Initial Assessment ◽  
Health Organizations ◽  
Public Health Organizations ◽  
The World ◽  
Control And Prevention ◽  
Life Threatening ◽  
Health Organization

School nurses may deal with students presenting with symptoms associated with infections popularized in the news. Although rare, the implications of missing or misdiagnosing these infections are potentially life-threatening and devastating. We present three students presenting with febrile illnesses associated with neurologic symptoms, a rash, and fatigue, focusing on the initial assessment and management of these students and their associated “hot topic” infection. The authors also discuss two public health organizations, Centers for Disease Control and Prevention (https://www.cdc.gov/) and the World Health Organization (https://www.who.int/), online references for the school nurse to research both emerging and common infectious diseases.

Sign in / Sign up

Export Citation Format

Share Document