scholarly journals Designing an Intelligent System to Detect Stress Levels During Driving

2022 ◽  
Author(s):  
Mohammad Karimi Moridani ◽  
Zahra Khandaghi Khameneh ◽  
Mahsa Shahipour Shams Abad
Keyword(s):  
Cardiovascular Disease ◽  
Detection Method ◽  
Intelligent System ◽  
P Value ◽  
Linear Features ◽  
Stress Control ◽  
Return Mapping ◽  
Rest Periods ◽  
Driver Stress ◽  
Electrocardiogram Ecg

In addition to the devastating effects of anxiety and stress on the development and exacerbation of the cardiovascular disease, lack of stress control increases drivers' risk of accidents. This paper aims to identify the stress of drivers in various driving situations to warn the driver to control the tense conditions during driving. In order to detect stress while driving, we used the heart signals in the Physionet database. To analyze the conditions of the electrocardiogram (ECG) under various driving situations, linear and non-linear features were used. The characteristics of the RRIs are the only able to identify driver stress in different driving modes relative to rest periods, while the return mapping features, in addition to identifying driver stress while resting, have the ability to identify stress between different driving positions also brought. The results showed that driver's stress level during driving in city 1 and highway 1 with a P-value of 0.028 and also in city 3 and highway 2 with a P-value of 0.041 can be distinguished. The accuracy obtained from the proposed detection method is 98±2% for 100 iterations. The result indicated an efficiency of our proposed method and enhanced the reliability.

scholarly journals Sex Differences in Circadian Clock Genes and Myocardial Infarction Susceptibility

2021 ◽  
Vol 8 (5) ◽  
pp. 53
Author(s):  
Ivana Škrlec ◽  
Jasminka Talapko ◽  
Martina Juzbašić ◽  
Robert Steiner
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Disease ◽  
Circadian Rhythm ◽  
Single Nucleotide Polymorphisms ◽  
Clock Genes ◽  
P Value ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Biological Sex ◽  
Significant Difference

The growing body of evidence shows a significant difference in the circadian rhythm of cardiovascular disease based on biological sex. The incidence of cardiovascular disease varies between women and men. Additionally, biological sex is vital for the timely application of therapy—chronotherapy, which benefits both sexes. This study aimed to examine the potential difference of single nucleotide polymorphisms (SNPs) of the circadian rhythm genes ARNTL, CLOCK, CRY2 and PER2 in women and men with myocardial infarction. A cross-sectional study was conducted, including 200 patients with myocardial infarction. Altogether, ten single nucleotide polymorphisms in the ARNTL, CLOCK, CRY2 and PER2 genes were analyzed. The Chi-square test yielded statistically significant differences in CLOCK gene rs11932595 polymorphism in a recessive genotype model between women and men with a p-value of 0.03 and an odds ratio 2.66, and a corresponding 95% confidence interval of 1.07 to 6.66. Other analyzed polymorphisms of the circadian rhythm genes ARNTL, CRY2, and PER2 did not significantly differ between the sexes. According to the study’s current results, the CLOCK gene’s genetic variability might affect myocardial infarction concerning biological sex.

A STUDY OF FASTING LIPID PROFILE IN CHRONIC KIDNEY DISEASE PATIENTS AT MEDICINE DEPARTMENT OF ANMMCH, GAYA, BIHAR

2021 ◽  
pp. 75-76
Author(s):  
Bharat Bhushan ◽  
Debarshi Jana
Keyword(s):  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
P Value ◽  
Low Density ◽  
Healthy Controls ◽  
Group 3 ◽  
Group 2

Background: Dyslipidemia is very much common in chronic kidney disease patients and is responsible for cardiovascular disease (CKD) which is most common cause of mortality in them. So, it is necessary to study the lipid prole in CKD patients to prevent morbidity and mortality. Methods: Subjects each of 50 in number are grouped into healthy controls (group-1), CKD patients without hemodialysis (group-2), CKD patients with hemodialysis (group-3). After fasting of 12 hours, lipid prole is assessed in all cases. Results: In this study, there is increase in Total cholesterol (TC), Low Density lipoprotein (LDL), very Low-Density lipoprotein (VLDL) and Triglycerides (TG) and decrease in High Density Lipoprotein (HDL) in all CKD patients compared to healthy controls (p-value for each parameter <0.001). There is increase in TC, TG and VLDL in diabetic CKD patients compare to non-diabetic CKD patients and p-value for each parameter is <0.05. It was found that TG and VLDL increase and HDL decrease in group-3 compare to group-2 is statistically signicant (p-value for each <0.05) and no signicant variation in TC and LDL in these groups. Conclusions: Present study demonstrated that there is dyslipidemia in CKD patients irrespective of mode of management, but the derangement is much more common and signicant in CKD with hemodialysis group and they are at risk of cardiovascular disease. It is better to start lipid lowering drugs which decreases disease progression and dyslipidemia.

Trends in the prevalence of metabolic syndrome and its components in Mexican adults, 2006-2018

2021 ◽  
Vol 63 (6, Nov-Dic) ◽  
pp. 713-724
Author(s):  
Rosalba Rojas-Martínez ◽  
Carlos A Aguilar-Salinas ◽  
Martín Romero-Martínez ◽  
Lilia Castro-Porras ◽  
Donaji Gómez-Velasco ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Regression Models ◽  
Significant Risk ◽  
P Value ◽  
Logistic Regression Models ◽  
Mexican Adults ◽  
Diabetes Risk Score ◽  
Linear Trends

Objective. To examine trends in the prevalence of metabolic syndrome (MS) and its components. Materials and methods. Data from 27 800 Mexican adults who participated in Ensanut 2006, 2012, 2016 and 2018 were analyzed. Linear regression was used across each Ensanut period to assess temporal linear trends in the prevalence of MS. Logistic regression models were obtained to calculate the percentage change, p-value for the trend and the association between the presence of MS and the risk of developing type 2 diabetes mellitus (T2DM) over 10 years using the Finnish Diabetes Risk Score (FINDRISC) and cardiovascular disease (CVD) using Globorisk. Results. The prevalence of MS in Mexican adults according to the harmonized definition was: 40.2, 57.3, 59.99 and 56.31%, in 2006, 2012, 2016 and 2018 respectively (p for trend <0.0001). In 2018, 7.62% of metabolic syndrome cases had a significant risk for incident DM2 and 11.6% for CVD. Conclusion. It is estimated that there are 36.5 million Mexican adults living with metabolic syndrome, of which 2 million and 2.5 million have a high risk of developing T2DM or cardiovascular disease respectively, over the next 10 years.

scholarly journals Electrocardiogram Classification for Arrhythmia using Convolutional Neural Network 2D and Adabound Optimizer

2020 ◽  
Vol 8 (5) ◽  
pp. 1277-1284
Keyword(s):  
Neural Network ◽  
Cardiovascular Disease ◽  
Convolutional Neural Network ◽  
Gradient Descent ◽  
Stochastic Gradient Descent ◽  
Transform Method ◽  
The World ◽  
Optimal Accuracy ◽  
Deadly Disease ◽  
Electrocardiogram Ecg

Cardiovascular disease is the number one deadly disease in the world. Arrhythmia is one of the types of cardiovascular disease which is hard to detect but by using the routine electrocardiogram (ECG) recording. Due to the variety and the noise of ECG, it is very time consuming to detect it only by experts using bare eyes.Learning from the previous research in order to help the experts, this research develop 11 layers Convolutional Neural Network 2D (CNN 2D) using MITBIH Arrhythmia Dataset. The dataset is firstly preprocessed by using wavelet transform method, then being segmented by R-peak method. The challenge is how to conquer the imbalance and small amount of data but still get the optimal accuracy. This research can be helpful in helping the doctors figure out the type of arrhythmia of the patient. Therefore, this research did the comparison of various optimizers attach in CNN 2D namely, Adabound, Adadelta, Adagrad, Amsbound, Adam and Stochastic Gradient Descent (SGD). The result is Adabound get the highest performance with 91% accuracy and faster 1s training duration than Adam which is approximately 18s per epoch.

scholarly journals Relation of serum 25(OH) D with variables of thyroid and lipid profile in perimenopausal women

2017 ◽  
Vol 6 (3) ◽  
pp. 1087
Author(s):  
Poonam Rani ◽  
Seema Gupta ◽  
Gaurav Gupta
Keyword(s):  
Cardiovascular Disease ◽  
Vitamin D ◽  
Lipid Profile ◽  
Vitamin D Deficiency ◽  
Serum Levels ◽  
The Body ◽  
P Value ◽  
Thyroid Disorder ◽  
Vitamin D Levels ◽  
Perimenopausal Women

Background: Deficiency of vitamin D is quite prevalent among elderly population or postmenopausal women worldwide and may affect various function of the body. The status of its deficiency with their relation with other variables are not well explored in perimenopausal women.Methods: 100 perimenopausal women from the department of obstetrics and gynaecology were selected without having known risk of thyroid disorder and cardiovascular disease. The age group criteria for these women were 40 to 50 years. Thyroid profile including TSH, T3, and T4 were estimated by using enzyme linked immunesorbent assay. Serum levels of 25(OH) D3 was estimated by using spectrophotometric method. Lipid profile including TC, TG and HDL-C were estimated CHOD-POD method, GPO-PAP method, and CHOD-POD/Phosphotungustate method. LDL-C was calculated by friedewald formula.Results: There 58 women were presented with insufficient amount of vitamin D. They were characterised with increased BMI, elevated thyrotropin alongwith lower concentrations of T3 and T4. Increased levels of TC, TG and LDL-cholesterol alongwith lower concentration of HDL-C were also observed in women with vitamin d deficiency. Women having vitamin D deficiency were presented with overweight (OR-18.0, p-value=<0.001) and dyslipidemia (OR-12.13, p-value≤0.001). Vitamin D was negatively correlated with variable i.e. BMI, TSH, TC, TG and LDL-C. This negative association was significant (<0.001) while HDL-C and T4 were positively correlated with vitamin D levels in this study population.Conclusions: Vitamin D deficiency frequently occurs in middle aged perimenopausal women. Negative correlation of it with BMI, TSH and lipid variables may suggest the development of cardiovascular disease and hypothyroidism in coming years. Vitamin D supplements or vitamin D containing diet and regular exposure to sun is highly recommended to perimenopausal women.

scholarly journals Deteksi Dini Faktor Risiko Penyakit Jantung dan Pembuluh Darah, Hubungan Antara Obesitas, Aktivitas Fisik dan Kolesterol Total di Kecamatan Kertapati, Kota Palembang

2020 ◽  
Vol 5 (2) ◽  
pp. 96-103
Author(s):  
Achmad Ridwanmo ◽  
Mariatul Fadillah ◽  
Tri Hari Irfani
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Total Cholesterol ◽  
P Value ◽  
Cross Sectional ◽  
Cross Sectional Design ◽  
Multistage Sampling ◽  
The One ◽  
High Level

Background: Cardiovascular disease is the first cause of death in Indonesia. The prevalence of stroke based on diagnosis rose from 7 (2013) to 10.9 per mil (2018), The prevalence of cardiovascular disease is 1.5 per mil. Research on the detection of risk factors for cardiovascular disease using a cardiovascular risk score according to WHO and the Jakarta Score has never been conducted in Palembang. The purpose of this study is to conduct early detection of risk factors to predict cardiovascular disease in the next 10 years, and find out the relationship between obesity, physical activity to reduce cholesterol.Methods: This research was conducted using an observational analytic study with cross sectional design and multistage sampling method. Samples in this study were 126 people from 3 village in Kertapati district in Palembang City.Result: The research showed that high level risk to cardiovascular disease in 10 years by using WHO non laboratory, laboratory and Jakarta Score was 4,8%, 6,7%, 61,9% respectively. Whereas, the moderate risk was 20%, 26,2% and 25,4%. There was no association between obesity and total cholesterol (p=0.682), but there was an association between physical activity and total cholesterol (p=0.030, OR 3,1). Moreover, there was a total cholesterol’s mean difference between none/mild, moderate, and severe physical activity that is 36,6 mg/dl (t test, p-value: 0,005).Conclusion: Lack of physical activity could be the one of cholesterol risk factor. Therefore, doing the physical activity could prevent the cardiovascular disease.

Abstract P283: Disparities in Long-term Risk of Cardiovascular Disease by Sexual Orientation and Race/Ethnicity: the National Longitudinal Study of Adolescent Health

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Cari J Clark ◽  
Iris W Borowsky ◽  
Alvaro Alonso ◽  
Rachael A Spencer ◽  
Susan A Everson-Rose
Keyword(s):  
Cardiovascular Disease ◽  
Sexual Orientation ◽  
Longitudinal Study ◽  
Adolescent Health ◽  
Sexual Minorities ◽  
P Value ◽  
Cvd Risk ◽  
National Longitudinal Study ◽  
Increased Risk ◽  
Race Ethnicity

Background: Risk of cardiovascular disease (CVD) may be higher in sexual minorities, but epidemiologic evidence is sparse. We used a nationally representative sample of young adults to examine sex-specific disparities in global CVD risk by sexual orientation and race/ethnicity. Methods: Data were from National Longitudinal Study of Adolescent Health subjects who participated in wave 4 (2008-09) and who had valid weights and non-missing data (7087 women; 6340 men). Age, race/ethnicity, sexual orientation, education, financial stress, and CVD risk factors (body mass index, smoking, diabetes, systolic blood pressure, and use of antihypertensive medication) were collected via an in-home interview. We calculated the 30-Year risk for total CVD using a Framingham-based prediction model. Sex-specific differences in 30-year risk of CVD by sexual orientation were calculated with weighted linear models adjusted for age, race/ethnicity, education, and financial distress. Sex-specific interactions between race/ethnicity and sexual orientation were tested. Results: Mean age was 28.9 ± .2 years; 93% (n=5912) of male participants were heterosexual, 4% (n=258) were bisexual, and 2% (n=170) were gay. 80% (n=5713) of female participants were heterosexual, 18% (n=1243) were bisexual, and 2% (n=131) were lesbian. Average 30-year risk of CVD was 17.2 ± .5% in men and 9.0 ± .3% in women. Differences in CVD risk by sexual orientation were not detectable for men (p=.59). Compared to heterosexual women, bisexual and lesbian women had a .9% (95% CI: .3, 1.4) and 2.0% (95% CI: .7, 3.2) higher risk of CVD, respectively. In race/ethnicity stratified models (interaction p-value=.01), an increased risk among sexual minorities, especially lesbians, was detectable except among Hispanic women (Figure). Conclusion: Disparities in global CVD risk were observed by sexual orientation for women and persisted across most racial/ethnic groups. Sexual orientation may be a marker of increased risk of CVD but more research on contributing factors is needed.

scholarly journals Deep Convolutional Neural Network Based ECG Classification System Using Information Fusion and One-Hot Encoding Techniques

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Jia Li ◽  
Yujuan Si ◽  
Tao Xu ◽  
Saibiao Jiang
Keyword(s):  
Cardiovascular Disease ◽  
Adaptive Learning ◽  
Portable Devices ◽  
Ecg Signals ◽  
Automatic Feature Extraction ◽  
Average Accuracy ◽  
Proposed Model ◽  
Home Health Monitoring ◽  
Predictive Rate ◽  
Electrocardiogram Ecg

Although convolutional neural networks (CNNs) can be used to classify electrocardiogram (ECG) beats in the diagnosis of cardiovascular disease, ECG signals are typically processed as one-dimensional signals while CNNs are better suited to multidimensional pattern or image recognition applications. In this study, the morphology and rhythm of heartbeats are fused into a two-dimensional information vector for subsequent processing by CNNs that include adaptive learning rate and biased dropout methods. The results demonstrate that the proposed CNN model is effective for detecting irregular heartbeats or arrhythmias via automatic feature extraction. When the proposed model was tested on the MIT-BIH arrhythmia database, the model achieved higher performance than other state-of-the-art methods for five and eight heartbeat categories (the average accuracy was 99.1% and 97%). In particular, the proposed system had better performance in terms of the sensitivity and positive predictive rate for V beats by more than 4.3% and 5.4%, respectively, and also for S beats by more than 22.6% and 25.9%, respectively, when compared to existing algorithms. It is anticipated that the proposed method will be suitable for implementation on portable devices for the e-home health monitoring of cardiovascular disease.

scholarly journals Evaluation of left ventricular systolic function by Myocardial Deformation Imaging in asymptomatic HIV patients

2019 ◽  
Vol 16 (2) ◽  
pp. 11-15
Author(s):  
Kunjang Sherpa ◽  
Ram Kishor Sah ◽  
Arun Maskey ◽  
Rabi Malla ◽  
Deewakar Sharma ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Transthoracic Echocardiography ◽  
Global Longitudinal Strain ◽  
Strain Imaging ◽  
Left Ventricular ◽  
Cd4 Count ◽  
P Value ◽  
Hiv Patients ◽  
Significant Difference ◽  
Healthy Control

Background and Aims: Despite improvements in clinical care, evidence from both industrialized and developing countries indicates that the prevalence of subclinical cardiac dysfunction in individuals with well-controlled HIV infection may approach 50% and represent a newly recognized comorbid condition. The aim of our study was to reveal abnormalities in cardiac function using conventional transthoracic echocardiography and left ventricular strain imaging in HIV infected patients without cardiovascular disease. Methods: This was a hospital based, single center descriptive cross-sectional comparative study conducted in National Academy of Medical Sciences (NAMS), Bir Hospital which included HIV patients with baseline examination including a patient medical history, clinical examination, baseline CD4 count, viral load and a standardized transthoracic echocardiography and strain imaging examination and the findings were compared among age and sex frequency matched healthy adult population. Results: Our study enrolled 142 patients out of which 95 HIV positive patients (mean age 36.7±9.2 years with 58% female) and 47 healthy control (mean age 33.7±8 years with 57.4% female). The median duration of HIV diagnosis was 7 years (IQR 2, 10) and median CD4 count was 464 cells/mm3 (IQR 259,750). There was no significant difference in conventional echocardiographic parameters between two groups except for transmitral E velocity that was lower in HIV group (P value of 0.001). The HIV population has lower mean global longitudinal strain (GLS) value of -19.92% ± 2.54 SD compared to the healthy control population with mean of -21.39% ± 1.54 SD(P value of 0.001) and patients with CD4 count less than 300 cell/mm3 had GLS value significantly lower than -18% (P value of 0.05). Conclusion: HIV infected population without established cardiovascular disease have subclinical left ventricular dysfunction revealed by GLS imaging technique.

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