Fast, Intelligent and Secure an Embedded Health-care Supervisory System

Author(s):  
Neha Shivaji Bidgar

<p class="IEEEAbtract">The world of medical supervisory system should remotely monitor various parameters of patients with help of electronics. This work aims at monitoring parameters in fast, intelligent and secure way. The work emphasizes on designing an embedded system which handles critical parameters of patients in hospital/nursing units. The data samples are processed using an ARM based CPU’s and to achieve performance metrics TI RTOS is used and validated. The system generates interrupts based on the priority of each of critical parameters with a threshold in it and enables alarming/warning system. The data is then transferred to IoT layer using a CC3100 TI based SoC for further reference and processing.</p>In this paper, 4 parameters has been monitored for designing system such as measuring Respiratory rate for human breath, MMG signal for muscle movement, Blood pressure rate as well as Temperature. RTOS helps with scheduling as well as with interrupts also helps Wi-Fi module to work with it. Wi-Fi module provides many security options as WEP, WAP, and WAP2.

Author(s):  
Pramukti Dian Setianingrum ◽  
Farah Irmania Tsani

Backgroud: The World Health Organization (WHO) explained that the number of Hyperemesis Gravidarum cases reached 12.5% of the total number of pregnancies in the world and the results of the Demographic Survey conducted in 2007, stated that 26% of women with live births experienced complications. The results of the observations conducted at the Midwife Supriyati Clinic found that pregnant women with hyperemesis gravidarum, with a comparison of 10 pregnant women who examined their contents there were about 4 pregnant women who complained of excessive nausea and vomiting. Objective: to determine the hyperemesis Gravidarum of pregnant mother in clinic. Methods: This study used Qualitative research methods by using a case study approach (Case Study.) Result: The description of excessive nausea of vomiting in women with Hipermemsis Gravidarum is continuous nausea and vomiting more than 10 times in one day, no appetite or vomiting when fed, the body feels weak, blood pressure decreases until the body weight decreases and interferes with daily activities days The factors that influence the occurrence of Hyperemesis Gravidarum are Hormonal, Diet, Unwanted Pregnancy, and psychology, primigravida does not affect the occurrence of Hyperemesis Gravidarum. Conclusion: Mothers who experience Hyperemesis Gravidarum feel nausea vomiting continuously more than 10 times in one day, no appetite or vomiting when fed, the body feels weak, blood pressure decreases until the weight decreases and interferes with daily activities, it is because there are several factors, namely, hormonal actors, diet, unwanted pregnancy, and psychology.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 661.1-661
Author(s):  
Y. Sun ◽  
L. Ma ◽  
H. Chen ◽  
C. Rongyi ◽  
L. Jiang

Background:Hypertension occurred in 30-80% of TAK patients around the world. The occurrence of hypertension might severely worsen TAK prognosis. Nevertheless, data describing the specific imaging features in hypertensive TAK patients and the associations between hypertensive severity, blood pressure control status and long-term outcome were still lacking.Objectives:To investigate the characteristics and associations of hypertensive characteristics with adverse events-free survival in Takayasu arteritis (TAK) patients with hypertension.Methods:This research was based on a prospectively on-going observational cohort-East China Takayasu Arteritis (ECTA) cohort. In all, 618 TAK patients, who registered in the ECTA cohort up to December 2019, were enrolled. The main outcome was the adverse-events-free survival among hypertensive TAK patients during the follow-up ended on August 2020.Results:Totally, 204 (33.0%) patients suffered from hypertension, with 48 (23.5%), 62 (30.4%), and 94 (46.1%) mild, moderate, and severe hypertension, respectively. Cluster analysis indicated three imaging phenotypes for hypertensive TAK patients: Cluster 1: involvement of the abdominal aorta and/or renal artery (n=56, 27.5%); Cluster 2: involvement of the ascending aorta, thoracic aorta, and the aortic arch and its branches (n=38, 18.6%); Cluster 3: combined involvement of Cluster 1 and Cluster 2 (n=111, 54.4%). By the end of the follow-up, the blood pressure control rate was 50.8%, while the adverse-events-free survival was 67.9% in the entire hypertensive population. Multivariate Cox regression analysis indicated that well-controlled blood pressure (HR=2.13, 95%CI 1.32–3.78, p=0.047), co-existence of severe aortic valve regurgitation (HR=0.87, 95%CI 0.64–0.95, p=0.043), Cluster 1 (HR=0.69, 95%CI 0.48–0.92, p=0.017) and Cluster 3 (HR=0.72, 95%CI 0.43–0.94, p=0.048) imaging phenotype was associated with the adverse-events-free survival.Conclusion:Patients with controlled hypertension showed better adverse-events-free survival, while those with the Cluster 1 imaging phenotype were more likely to suffer from worse adverse-events-free survival. Hypertension occurred in 30-80% of TAK patients around the world. The occurrence of hypertension might severely worsen TAK prognosis.References:[1]Johnston SL, Lock RJ, Gompels MM. Takayasu arteritis: a review. J Clin Pathol 2002; 55:481–6.[2]Watanabe Y, Miyata T, Tanemoto K. Current clinical features of new patients with Takayasu arteritis observed from a cross-country research in Japan: age and sex specificity. Circulation 2015; 132:1701–9.[3]Yilmaz N, Can M, Oner FA, et al. Impaired quality of life, disability and mental health in Takayasu’s arteritis. Rheumatol. (Oxford) 2013; 52:1898–904.[4]Laurent A, Julien H, Nicolas L, et al. Takayasu arteritis in France: a single-center retrospective study of 82 cases comparing white, North African, and black patients. Medicine 2010; 89:1–17.[5]Mwipatayi BP, Jeffery PC, Beningfield SJ, et al. Takayasu arteritis: clinical features and management: report of 272 cases. ANZ J Surg 2005; 75:110–7.Disclosure of Interests:None declared


2018 ◽  
Vol 10 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Arun Kumar

Obesity has emerged as the most potential cardiovascular risk factor and has raised concern among public and their health related issues not only in developed but also in developing countries. The Worldwide obesity occurrence has almost has gone three times since 1975. Research suggests there are about 775 million obese people in the World including adult, children, and adolescents. Nearly 50% of the children who are obese and overweight in Asia in are below 5 years. There is a steep incline of childhood obesity when compared to 1971 which is not only in developed countries but also in developing countries. A considerable amount of weight gain occurs during the transition phase from adolescence to young adulthood. It is also suggested that those adultswho were obese in childhood also remained obese in their adulthood with a higher metabolic risk than those who became obese in their adulthood. In India, the urban Indian female in the age group of 30-45 years have emerged as an 〝at risk population” for cardiovascular diseases. To understand how obesity can influence cardiovascular function, it becomes immense important to understand the changes which can take place in adipose tissue due to obesity. There are two proposed concepts explaining the inflammatory status of macrophage. The predominant cause of insulin resistance is obesity. Epidemiological and research studies have indicated that the pathogenesis of obesity-related metabolic dysfunction involves the development of a systemic, low-grade inflammatory state. It is becoming clear that targeting the pro-inflammatory pathwaymay provide a novel therapeutic approach to prevent insulin resistance, particularly in obesity inducedinsulin resistance. Some cost effective interventions that are feasible by all and can be implemented even in low-resource settings includes - population-wide and individual, which are recommended to be used in combination to reduce the greatest cardiovascular disease burden. The sixth target in the Global NCD action plan is to reduce the prevalence of hypertension by 25%. Reducing the incidence of hypertension by implementing population-wide policies to educe behavioral risk factors. Reducing cigarette smoking, body weight, blood pressure, blood cholesterol, and blood glucose all have a beneficial impact on major biological cardiovascular risk factors. A variety of lifestyle modifications have been shown, in clinical trials, to lower bloodpressure, includes weight loss, physical activity, moderation of alcohol intake, increased fresh fruit and vegetables and reduced saturated fat in the diet, reduction of dietary sodium intake, andincreased potassium intake. Also, trials of reduction of saturated fat and its partial replacement by unsaturated fats have improved dyslipidaemia and lowered risk of cardiovascular events. This initiative driven by the Ministry of Health and Family Welfare, State Governments, Indian Council of Medical Research and the World Health Organization are remarkable. The Government of India has adopted a national action plan for the prevention and control of non-communicable diseases (NCDs) with specific targets to be achieved by 2025, including a 25% reduction inoverall mortality from cardiovascular diseases, a 25% relative reduction in the prevalence of raised blood pressure and a 30% reduction in salt/sodium intake. In a nutshell increased BMI values can predict the nature of obesity and its aftermaths in terms inflammation and other disease associated with obesity. It’s high time; we must realize it and keep an eye on health status in order to live long and healthy life.


Medical Care ◽  
2014 ◽  
Vol 52 (10) ◽  
pp. 870-876 ◽  
Author(s):  
Timothy J. Vogus ◽  
Bruce Cooil ◽  
Mary Sitterding ◽  
Linda Q. Everett

Author(s):  
Dr. Sandip Tawade

Ayurveda is not only an ancient medical science but it is a complete life science.The main aim of Ayurveda is to maintain the health of a healthy person & to cure the disease of diseased person. From last few decades due to globalisation there is drastic change in working pattern, dietary habits & lifestyle. According to a new research, lifestyle diseases replaced traditional health risk factors resulting in an increase in incidents of diseases & deaths in India in the last two decades. Now most of the diseases & deaths are caused by High Blood Pressure, high cholesterol, obesity, alcohol use and poor diet. Unhealthy lifestyle is the root cause of many diseases broadly termed as lifestyle disorder. Hypertension is the most common lifestyle disease affecting population all over the world. About 26.4% of the world adult population in 2020 had hypertension and 29.2% were projected to have this condition by 2025. India is labeled as global capital of hypertension. The Ayurveda concentrates on achieving the promotion of health, prevention and management of disease for a healthy and happy life in the ailing society. The principals of Ayurveda are focused on maintaining good health by good diet and good lifestyle. Proper dietary habits, proper exercise, Yoga, Meditation along with Ayurveda herbs can be beneficial to balancing of mind, which reduce stress and maintain the blood pressure. The present review article is aimed that the planning of proper herbal medications as per Ayurveda guidelines will definitely control the high blood pressure without any hazardous side effects of drugs.


2018 ◽  
Vol 33 (6) ◽  
pp. 1501-1511 ◽  
Author(s):  
Harold E. Brooks ◽  
James Correia

Abstract Tornado warnings are one of the flagship products of the National Weather Service. We update the time series of various metrics of performance in order to provide baselines over the 1986–2016 period for lead time, probability of detection, false alarm ratio, and warning duration. We have used metrics (mean lead time for tornadoes warned in advance, fraction of tornadoes warned in advance) that work in a consistent way across the official changes in policy for warning issuance, as well as across points in time when unofficial changes took place. The mean lead time for tornadoes warned in advance was relatively constant from 1986 to 2011, while the fraction of tornadoes warned in advance increased through about 2006, and the false alarm ratio slowly decreased. The largest changes in performance take place in 2012 when the default warning duration decreased, and there is an apparent increased emphasis on reducing false alarms. As a result, the lead time, probability of detection, and false alarm ratio all decrease in 2012. Our analysis is based, in large part, on signal detection theory, which separates the quality of the warning system from the threshold for issuing warnings. Threshold changes lead to trade-offs between false alarms and missed detections. Such changes provide further evidence for changes in what the warning system as a whole considers important, as well as highlighting the limitations of measuring performance by looking at metrics independently.


Author(s):  
Rushikesh Aher ◽  
Pratik Aher ◽  
Tejas Ahire ◽  
Hitesh V. Shahare ◽  
Charulata T. Nemade

The Indian pharmaceuticals market is the third largest in terms of volume and thirteenth largest in terms of value. It has established itself as a global manufacturing and research hub. A large raw material base and the availability of a skilled workforce give the industry a definite competitive advantage. India has one of the lowest manufacturing costs in the world. The regulatory requirements of various countries of the world vary from each other. Therefore, it is challenging for Indian companies to develop a single drug that can be simultaneously submitted in all the countries for approval. The role of the regulatory authorities is to ensure the quality, safety, and efficacy of all medicines in circulation in their country. It not only includes the process of regulating and monitoring the drugs but also the process of manufacturing, distribution, and promotion of it. One of the primary challenges for regulatory authority is to ensure that the pharmaceutical products are developed as per the regulatory requirement of that country. This process involves the assessment of critical parameters during product development. This article covers the processes involved and requirements like import-export code, technical documentation, filing and reviewing process of drug master file, certificate of pharmaceutical product, common technical document (CTD), eCTD, and ACTD, for the registration and approval of Indian drug products in the overseas market.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Kazi Nabiul Alam ◽  
Md Shakib Khan ◽  
Abdur Rab Dhruba ◽  
Mohammad Monirujjaman Khan ◽  
Jehad F. Al-Amri ◽  
...  

The COVID-19 pandemic has had a devastating effect on many people, creating severe anxiety, fear, and complicated feelings or emotions. After the initiation of vaccinations against coronavirus, people’s feelings have become more diverse and complex. Our aim is to understand and unravel their sentiments in this research using deep learning techniques. Social media is currently the best way to express feelings and emotions, and with the help of Twitter, one can have a better idea of what is trending and going on in people’s minds. Our motivation for this research was to understand the diverse sentiments of people regarding the vaccination process. In this research, the timeline of the collected tweets was from December 21 to July21. The tweets contained information about the most common vaccines available recently from across the world. The sentiments of people regarding vaccines of all sorts were assessed using the natural language processing (NLP) tool, Valence Aware Dictionary for sEntiment Reasoner (VADER). Initializing the polarities of the obtained sentiments into three groups (positive, negative, and neutral) helped us visualize the overall scenario; our findings included 33.96% positive, 17.55% negative, and 48.49% neutral responses. In addition, we included our analysis of the timeline of the tweets in this research, as sentiments fluctuated over time. A recurrent neural network- (RNN-) oriented architecture, including long short-term memory (LSTM) and bidirectional LSTM (Bi-LSTM), was used to assess the performance of the predictive models, with LSTM achieving an accuracy of 90.59% and Bi-LSTM achieving 90.83%. Other performance metrics such as precision,, F1-score, and a confusion matrix were also used to validate our models and findings more effectively. This study improves understanding of the public’s opinion on COVID-19 vaccines and supports the aim of eradicating coronavirus from the world.


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