Smart Health Counselor for Cardio Vascular Inflammation: A Recent Study

2021 ◽  
pp. 36-42
Author(s):  
A. Shenbagharaman
Keyword(s):  
Vascular Inflammation ◽  
Smart Health ◽  
Health Counselor ◽  
Cardio Vascular

scholarly journals Smart Health Counselor for Cardio Vascular Inflammation

2020 ◽  
Vol 9 (1) ◽  
pp. 996-999
Keyword(s):  
Vascular Inflammation ◽  
Way Of Life ◽  
Health Care Environment ◽  
Additional Time ◽  
Major Purpose ◽  
Therapeutic Services ◽  
Temperature Rate ◽  
Health Counselor ◽  
Cardio Vascular ◽  
Electrocardiogram Ecg

These days Health care Environment has become innovation arranged. The major purpose is to construct up a reliable patient inspection structure all together that the therapeutic services specialist can monitor the patients, who are moreover hospitalized or implement their way of life movements. This technique is progressively good for old matured individuals. It keeps away from additional time rates by utilizing Heartbeat Monitoring. We have some expertise in estimating constant electrocardiogram (ECG) and pulse checking. Our framework is intended to live the physiological in sequence of a enduring to clarify the position of her/his comfort. The patient are conveying equipment having sensors and telephone applications, the sensors will detect the indispensable sign and imperative indication of the patient and these information are moved to the telephone by means of Bluetooth/Wi-fi. Additionally, it sends a caution message about the patient's basic wellbeing by instant messages. These information results can be put away in a very database place which can be conjured from a remote area whenever just if there should be an occurrence of a crisis legitimately. The framework for the most part comprises of sensors, the data procurement unit, microcontroller, and programming. The patient's body temperature,rate of heartbeat, muscles, level of blood glucose, ECG information and pulse level are checked, shown, and comprehensive by our framework. This paper may assume imperative job in sparing the patient life at crisis time.

scholarly journals Molecular Dysfunction and Phenotypic Derangement in Diabetic Cardiomyopathy

2019 ◽  
Vol 20 (13) ◽  
pp. 3264 ◽  
Author(s):  
Isabella Evangelista ◽  
Ranuccio Nuti ◽  
Tommaso Picchioni ◽  
Francesco Dotta ◽  
Alberto Palazzuoli
Keyword(s):  
Diabetic Cardiomyopathy ◽  
Interstitial Fibrosis ◽  
Vascular Inflammation ◽  
Structural Abnormalities ◽  
Diabetic Population ◽  
Cardio Vascular ◽  
Mitochondrial Networks ◽  
Oxide Synthase ◽  
Endothelial Nitric Oxide

The high incidence and poor prognosis of heart failure (HF) patients affected with diabetes (DM) is in part related to a specific cardiac remodeling currently recognized as diabetic cardiomyopathy (DCM). This cardiac frame occurs regardless of the presence of coronary artery diseases (CAD) and it can account for 15–20% of the total diabetic population. The pathogenesis of DCM remains controversial, and several molecular and cellular alterations including myocardial hypertrophy, interstitial fibrosis, oxidative stress and vascular inflammation, have been postulated. The main cardio-vascular alterations associated with hyperglycemia comprise endothelial dysfunction, adverse effects of circulating free fatty acids (FFA) and increased systemic inflammation. High glucose concentrations lead to a loss of mitochondrial networks, increased reactive oxygen species (ROS), endothelial nitric oxide synthase (eNOS) activation and a reduction in cGMP production related to protein kinase G (PKG) activity. Current mechanisms enhance the collagen deposition with subsequent increased myocardial stiffness. Several concerns regarding the exact role of DCM in HF development such as having an appearance as either dilated or as a concentric phenotype and whether diabetes could be considered a causal factor or a comorbidity in HF, remain to be clarified. In this review, we sought to explain the different DCM subtypes and the underlying pathophysiological mechanisms. Therefore, the traditional and new molecular and signal alterations and their relationship with macroscopic structural abnormalities are described.

Sorghum Fermented by Aspergillus oryzae NK Enhances Inhibition of Vascular Inflammation in TNF-α-stimulated Human Aortic Smooth Muscle Cells

2018 ◽  
Vol 88 (5-6) ◽  
pp. 309-318
Author(s):  
Hae Seong Song ◽  
Jung-Eun Kwon ◽  
Hyun Jin Baek ◽  
Chang Won Kim ◽  
Hyelin Jeon ◽  
...  
Keyword(s):  
Smooth Muscle ◽  
Inflammatory Response ◽  
Smooth Muscle Cells ◽  
Adhesion Molecule ◽  
Vascular Inflammation ◽  
Muscle Cells ◽  
Aortic Smooth Muscle Cells ◽  
Aortic Smooth Muscle ◽  
Tnf Α ◽  
Cox 2

Abstract. Sorghum bicolor L. Moench is widely grown all over the world for food and feed. The effects of sorghum extracts on general inflammation have been previously studied, but its anti-vascular inflammatory effects are unknown. Therefore, this study investigated the anti-vascular inflammation effects of sorghum extract (SBE) and fermented extract of sorghum (fSBE) on human aortic smooth muscle cells (HASMCs). After the cytotoxicity test of the sorghum extract, a series of experiments were conducted. The inhibition effects of SBE and fSBE on the inflammatory response and adhesion molecule expression were measured using treatment with tumor necrosis factor-α (TNF-α), a crucial promoter for the development of atherosclerotic lesions, on HASMCs. After TNF-α (10 ng/mL) treatment for 2 h, then SBE and fSBE (100 and 200 μg/mL) were applied for 12h. Western blotting analysis showed that the expression of vascular cell adhesion molecule-1 (VCAM-1) (2.4-fold) and cyclooxygenase-2 (COX-2) (6.7-fold) decreased, and heme oxygenase-1 (HO-1) (3.5-fold) increased compared to the TNF-α control when treated with 200 μg/mL fSBE (P<0.05). In addition, the fSBE significantly increased the expression of HO-1 and significantly decreased the expression of VCAM-1 and COX-2 compared to the TNF-α control in mRNA level (P<0.05). These reasons of results might be due to the increased concentrations of procyanidin B1 (about 6-fold) and C1 (about 30-fold) produced through fermentation with Aspergillus oryzae NK for 48 h, at 37 °C. Overall, the results demonstrated that fSBE enhanced the inhibition of the inflammatory response and adherent molecule expression in HASMCs.

Emotions and health: The impact of emotions, emotions regulation, music, and acculturation on health

2008 ◽  
Vol 16 (3) ◽  
pp. 112-115 ◽  
Author(s):  
Stephan Bongard ◽  
Volker Hodapp ◽  
Sonja Rohrmann
Keyword(s):  
Stress Responses ◽  
Physiological Stress ◽  
Anger Expression ◽  
Domain Specific ◽  
Cardiovascular Stress ◽  
Expression Behavior ◽  
Cardio Vascular ◽  
And Coping ◽  
Relationship Of ◽  
The Impact

Abstract. Our unit investigates the relationship of emotional processes (experience, expression, and coping), their physiological correlates and possible health outcomes. We study domain specific anger expression behavior and associated cardio-vascular loads and found e.g. that particularly an open anger expression at work is associated with greater blood pressure. Furthermore, we demonstrated that women may be predisposed for the development of certain mental disorders because of their higher disgust sensitivity. We also pointed out that the suppression of negative emotions leads to increased physiological stress responses which results in a higher risk for cardiovascular diseases. We could show that relaxation as well as music activity like singing in a choir causes increases in the local immune parameter immunoglobuline A. Finally, we are investigating connections between migrants’ strategy of acculturation and health and found e.g. elevated cardiovascular stress responses in migrants when they where highly adapted to the German culture.

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

The Student Room Survey: Changes in the Post Graduate Study for Cardiothoracic Surgery

2020 ◽  
Vol 23 (2) ◽  
pp. 71-74
Author(s):  
Md Faizus Sazzad ◽  
Mohammed Moniruzzaman ◽  
Dewan Iftakher Raza Choudhury ◽  
Arif Ahmed Mohiuddin ◽  
Raafi Rahman ◽  
...  
Keyword(s):  
Thoracic Surgery ◽  
Retrospective Analysis ◽  
Primary Objective ◽  
Graduate Study ◽  
Postgraduate Students ◽  
Depth Interview ◽  
Secondary Objective ◽  
Cardio Vascular ◽  
The University ◽  
Day By Day

Background: The number of postgraduate students in Cardiac surgical discipline is increasing day by day with incremental proportion are measurably suffering from the unnecessary lingering of the present course curriculum. The primary objective of this study was to find out the last 5 years’ of results of Masters in Surgery course under the University of Dhaka from a student room survey. A secondary objective was to find out positive changes that could show us the way of a step toward up-gradation. Methods: It is a retrospective analysis of all examination results of Cardio-vascular & Thoracic Surgery published since January 2008 to January 2013 from the University of Dhaka with in depth interview of 11 participants. Results: 85.24% students failed to pass part-I of Masters in Surgery for Cardio-vascular & Thoracic Surgery course while, 82.18% in part-II and 71.28% failed to pass the final part. Average 2.51 attempts needed to complete each part of the designed course resulted into lingering of course duration for 42.18 months/student. In the thoracic surgery discipline the number of students alarmingly reduced up to 0% in the recent academic sessions. Conclusions: Masters in Surgery is resulting in unnecessary prolongation of the course. We should step forward to meet the next generation challenge. Journal of Surgical Sciences (2019) Vol. 23(2): 71-74

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.

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