SSDMNV2-FPN: A cardiac disorder classification from 12 lead ECG images using deep neural network | | 2022 |
Association of BMI trajectories with cardiometabolic risk among low-income Mexican American children | | |
Efficient and lightweight detection of PPG onset and systolic peaks using implementable time-domain strategies | Measurement: Journal of the International Measurement Confederation | 2022 |
Koenzim Q10: Güncel Genel Bakış | | 2022 |
Implementation of hybrid Ag nanorods embedded RGO-PDMS conductive material for flexible and dry electrocardiography sensor | Materials Letters: X | 2022 |
A Novel Synthetized sulfonylhydrazone coumarin (E)‐ 4‐methyl‐N '‐(1‐( 3‐oxo‐3H ‐benzo[f]chromen‐2‐ yl)ethylidene)benzenesulfonohydrazide Protect against Isoproterenol Induced Myocardial Infarction in Rats by attenuating Oxidative damage, Biological Changes, and Electrocardiogram | Clinical and Experimental Pharmacology and Physiology | |
Definitions of acute coronary syndromes | Medicine | 2022 |
Technological Requirements and Challenges in Wireless Body Area Networks for Health Monitoring: A Comprehensive Survey. | Sensors | 2022 |
Oral Supplement Containing Hydroxytyrosol and Punicalagin Improves Dyslipidemia in an Adult Population without Co-Adjuvant Treatment: A Randomized, Double-Blind, Controlled and Crossover Trial. | Nutrients | 2022 |
PEDOT: PSS treated cotton-based textile dry electrode for ECG sensing | Materials Today: Proceedings | 2022 |
Prevalence of Cardiovascular Risk Factors in the Elderly Population of Alentejo | | 2022 |
Table_9.xlsx | | 2018 |
Table_8.xlsx | | 2018 |
Table_7.xlsx | | 2018 |
Table_6.xlsx | | 2018 |
Table_5.xlsx | | 2018 |
Table_4.xlsx | | 2018 |
Table_3.xlsx | | 2018 |
Table_2.xlsx | | 2018 |
Table_11.xlsx | | 2018 |
Table_10.xlsx | | 2018 |
Table_1.xlsx | | 2018 |
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Table_1.DOCX | | 2018 |
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Image_2.tif | | 2019 |
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Data_Sheet_1.docx | | 2019 |
Development and validation of a sensitive and reliable targeted metabolomics method for the quantification of cardiovascular disease-related biomarkers in plasma by using UPLC-MS/MS. | Rapid Communications in Mass Spectrometry | 2022 |
Cost-effectiveness in diagnosis of stable angina patients: a decision-analytical modelling approach. | Open Heart | 2022 |
Cardiac arrhythmia detection using dual-tree wavelet transform and convolutional neural network | Soft Computing | 2022 |
Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning. | PLoS Computational Biology | 2022 |
Automatic detection of arrhythmias from an ECG signal using an auto-encoder and SVM classifier. | Physical and Engineering Sciences in Medicine | 2022 |
Improved cardiovascular profile in Danish centenarians? A comparative study of two birth cohorts born 20 years apart. | European Geriatric Medicine | 2022 |
Correlation of Cardiovascular Risk Parameters with Serum IL.6 and C-RP in Myocardial Infarction. | Nigerian Journal of Clinical Practice | 2022 |
Cardiac Arrhythmia Disorders Detection with Deep Learning Models | Communications in Computer and Information Science | 2022 |
Review on Nutraceuticals Food Used in Atherosclerosis | International Journal of Advanced Research in Science, Communication and Technology | |
The Role of Calorie Restriction in the Prevention of Cardiovascular Disease. | Current Atherosclerosis Reports | 2022 |
Machine learning models for prediction of co-occurrence of diabetes and cardiovascular diseases: a retrospective cohort study | Journal of Diabetes and Metabolic Disorders | |
Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. | Circulation | 2022 |
A Time to Rest, a Time to Dine: Sleep, Time-Restricted Eating, and Cardiometabolic Health. | Nutrients | 2022 |
Catestatin as a Biomarker of Cardiovascular Diseases: A Clinical Perspective. | Biomedicines | 2021 |