scholarly journals DEVELOPMENT OF SCIENTIFIC RESEARCHES IN THE SIBERIAN DEPARTMENT OF THE RUSSIAN ACADEMY OF MEDICAL SCIENCES AS A PART OF THE PROGRAMM «CARDIO-VASCULAR DISEASES»

2012 ◽  
Vol 67 (5) ◽  
pp. 10-12
Author(s):  
R. S. Karpov
Keyword(s):  
Vascular Diseases ◽  
Medical Sciences ◽  
Cardio Vascular ◽  
Siberian Department

scholarly journals Cryptographic Engineering on COVID-19 Telemedicine: An Intelligent Transmission Through Recurrent Relation Based Session Key

2021 ◽  
Author(s):  
JOYDEEP DEY ◽  
ANIRBAN BHOWMIK ◽  
ARINDAM SARKAR ◽  
SUNIL KARFORMA ◽  
BAPPADITYA CHOWDHURY
Keyword(s):  
Confusion Matrix ◽  
Vascular Diseases ◽  
Medical Data ◽  
Medical Sciences ◽  
Session Key ◽  
Non Invasive ◽  
Matrix Operations ◽  
Different Types ◽  
Cardio Vascular ◽  
Novel Coronavirus

Abstract Constraints imposed due to the cameo of the novel coronavirus has abruptly changed the operative mode of medical sciences. Most of the hospitals have migrated towards the telemedicine mode of services of the non-invasive and non-emergency patients during the COVID-19 time. The advent of telemedicine services has remotely rendered health services to different types of patients from their quarantines. Here, the patients’ medical data has to be transmitted to different physicians / doctors. Such data are to be secured with a view to restore its privacy clause. Cardio vascular diseases (CVDs) are a kind of cardiac disease related to blockage of arteries and veins. This paper presents an intelligent and secured transmission of cardiac reports of the patients through recurrence relation based session key. Such reports were made through the following confusion matrix operations. The beauty of this technique is that confusion matrices are transferred to specified number of cardiologists with further secret shares encapsulation. The case of robustness checking, transparency and cryptographic engineering has been tested under different inputs. Different types of result and its analysis proves the efficiency of the proposed technique. It will provide more security in medical data transmission, especially in the needy hours of COVID-19 pandemic.

Role of Emotional Processes in Cardio-vascular Diseases

2012 ◽  
Author(s):  
Suman Balhara ◽  
Nov Rattan Sharma ◽  
Amrita Yadav
Keyword(s):  
Vascular Diseases ◽  
Emotional Processes ◽  
Cardio Vascular

A Review on Heart Disease Detection Techniques

2017 ◽  
Vol 7 (7) ◽  
pp. 395
Author(s):  
. Anika ◽  
Navpreet Kaur
Keyword(s):  
Machine Learning ◽  
Heart Disease ◽  
Review Paper ◽  
Vascular Diseases ◽  
Disease Detection ◽  
Automated Classification ◽  
Feature Extraction Method ◽  
Detection Techniques ◽  
Cardio Vascular ◽  
Public Domain Software

The paper exhibits a formal audit on early detection of heart disease which are the major cause of death. Computational science has potential to detect disease in prior stages automatically. With this review paper we describe machine learning for disease detection. Machine learning is a method of data analysis that automates analytical model building.Various techniques develop to predict cardiac disease based on cases through MRI was developed. Automated classification using machine learning. Feature extraction method using Cell Profiler and GLCM. Cell Profiler a public domain software, freely available is flourished by the Broad Institute's Imaging Platform and Glcm is a statistical method of examining texture .Various techniques to detect cardio vascular diseases.

scholarly journals Predicting the Causal Effect Relationship Between COPD and Cardio Vascular Diseases

Informatica ◽  
2020 ◽  
Vol 44 (4) ◽  
Author(s):  
Debjani Panda ◽  
Prof. Satya Ranjan Dash ◽  
Ratula Ray ◽  
Shantipriya Parida
Keyword(s):  
Causal Effect ◽  
Vascular Diseases ◽  
Effect Relationship ◽  
Cardio Vascular

scholarly journals Relation between Concentration of Pollutants and Some Climatic Parameters on Cardiovascular and Respiratory Disease Mortality in Shiraz

2020 ◽  
Author(s):  
Kamal Omidvar ◽  
Sepideh Shahaeian ◽  
Mahbobeh Amiri Esfandegheh
Keyword(s):  
Respiratory Diseases ◽  
Correlation Coefficients ◽  
Mortality Rates ◽  
Climatic Parameters ◽  
Medical Sciences ◽  
Respiratory Mortality ◽  
Daily Data ◽  
Disease Mortality ◽  
Different Seasons ◽  
Cardio Vascular

Introduction: Industrialization and the growing of urbanization have increased the amount of contamination and have a devastating impact on the population health; the aim of this study was the relationship between pollutants and some climatic parameters on mortality of heart and respiratory diseases in Shiraz Methods: The study was an analytical one. Firstly, daily data on climate elements (temperature, humidity, pressure, wind) from Shiraz Meteorological Office (2004-2014), daily information on air pollutants (CO, PM, NO2, SO2, O3) from Shiraz General Environment Department and cardiovascular and respiratory mortality rates from Shiraz University of Medical Sciences was collected, respectively. Data were analyzed using software SPSS ver. 22; statistical methods and correlation coefficients of monthly, seasonal and monthly averages and mortality rates were investigated. Results: Results of this study indicated that there was a significant correlation between the parameters of the climate (humidity, pressure, temperature and wind) and deaths from cardio - vascular and respiratory diseases at the level of 0.99 and 0.95 (**=P<0/01, *=P<0/05). There was a statistical difference between the mortality rates in different seasons in Shiraz and the mortality rates caused by the cardio vascular and respiratory diseases were relatively more sensitive to climate parameters. Conclusion: In general, during the statistical period, no polluted day was observed in polluted O3, NO2 in Shiraz City, relationships between other pollutants and mortality rates were significant. This correlation is shown by a 1-5 day delay for pollutants of CO, PM10and 6-10 days for pollutants of SO2.

Rapid and Sensitive Bioanalytical Method Development and Validation for Quantification of Metoprolol Using LC-MS/MS in Human Plasma

2020 ◽  
Vol 42 (2) ◽  
pp. 171-171
Author(s):  
Beludari Mohammed Ishaq Beludari Mohammed Ishaq ◽  
Lingareddygari Siva Sanker Reddy Lingareddygari Siva Sanker Reddy ◽  
Gajula Mahaboob Basha Gajula Mahaboob Basha ◽  
Munna Sreenivasulu Munna Sreenivasulu ◽  
Challa Madhusudhana Chetty and Hindustan Abdul Ahad Challa Madhusudhana Chetty and Hindustan Abdul Ahad
Keyword(s):  
Human Plasma ◽  
Method Development ◽  
Multiple Reaction Monitoring ◽  
Internal Standard ◽  
Vascular Diseases ◽  
Storage Conditions ◽  
Spectrometric Analysis ◽  
Myocardial Infraction ◽  
Tandem Mass Spectrometric ◽  
Cardio Vascular

A novel, accurate, simple and selective LC-MS/MS method was developed and validated for the determination of metoprolol in human plasma. Due to structural resemblance Propranolol was selected as internal standard. Anti coagulant used was K2 EDTA. Metoprolol, used in the therapy and management of hypertension, myocardial infraction and other cardio vascular diseases. Liquid – liquid extraction technique with tert-butyl methyl ether was applied for the extraction of analyte from human plasma. Kromasil C18 column (5and#181;, 100 and#215; 4.6 mm) with an isocratic mobile phase of 5mM Ammonium Formate pH 3.5 and Acetonitrile (15:85 % V/V) was used for the resolution. Sample ionization was done with Electrospray ionization technique in positive ion mode. Selectivity was enhanced by tandem mass spectrometric analysis via two multiple reaction monitoring (MRM) transitions, m/z 268.15→115.90 for metoprolol and 260.17→115.90 for Propranolol respectively. The linearity of the method was established over a concentration range of 1.505 – 538.254 ng/mL, in human plasma, with the precision and accuracy ranging from 4.67 to 7.41% and 90.66 to 98.15% respectively. The stability of the analyte was evaluated in plasma under different storage conditions.

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