Application of Wearable Electronics Sensors for Public Health Monitoring and Disease Prevention

Each component of contemporary technology depends on sensors. Improved and more advanced sensors have the potential to advance technological advancements and ultimately contribute to a better quality of life for humans. Adopting more modern materials, designs, and sensing mechanism types is crucial to the development of sensors. Wearable sensors can be used to monitor several aspects of human gait by placing them on the hip, knee, wrist, and foot, among other parts of the body. Measurements of public health, including body temperature, heart rate, pulse oxygenation, respiration rate, blood pressure, blood glucose, ECG signal, and disease prevention, can be made with these sensors. Numerous recent studies have taken into consideration wearable sensor-based systems. With an emphasis on monitoring human physiological indicators, the research work aimed to demonstrate new sensor utilisation in the development of wearable devices for biomonitoring applications

Impact of Quality Management Systems on Corporate Efficiency in Public Health Providers

The quality management system (QMS) develops an ethnicity of constant development and legal obedience, which advanced minor errors, process efficacy and develop manufactured goods quality, these benefits are increase corporate effectiveness. Inferior expanses, improved client approval, and residential corporate efficiency (CE) are inferences of QMS. The study investigates the impact of QMSs on the CE of Indian public health providers. Research dataset was gathered from a survey of 380 Indian public healthcare providers, involving respondents (178) from various categories. Data evaluates Statistical Package for Social Sciences (SPSS) software utilizing factor analysis, one-way analyses of variance (ANOVA), and correlation analysis. This investigation exposed the QMSs of these Indian public health care providers necessitate a separate sector devoted to excellence and fundamental quality opinion. The results reveal that subjective and objective performance (SOP) is the most significant factor influencing performance in healthcare, with the highest P-value of 0.004. This indicates a strong impact on organizational performance. Moreover, it was explored how these QMS elevated the company’s perceived performance levels while having a minor optimistic outcome on financial presentation. QMSs in Indian public health providers recover CE and foster a quality and responsibility ethnicity by inserting an importance on identical processes, continuous enlargement and patient care

Data-Driven Public Health Surveillance: Identifying Influenza Trends via Social

The internet era makes it appear outdated to monitor and identify influenza using traditional methods. Among the long-term public health problems that influenza might exacerbate include diabetes, asthma, congestive heart failure, sinus infections, ear infections, and bacterial pneumonia. Deep learning (DL) techniques for influenza identification are more efficient than traditional approaches in terms of logistics and cost. The benefit of influenza prediction lies in its ability to minimize morbidity and mortality by allowing relevant departments to implement appropriate preventative and control actions after evaluating forecasted data. This research develops a Runge Kutta optimized Dynamic Gated recurrent unit (RKO-DGRU) public health with for influenza identification. Initially, the dataset is collected from kaggle and preprocessed utilizing the lemmatization method. Our approach can result in a sensitivity of 86.69%, specificity of 93.68%, and 97.5% accuracy. The findings highlight the possibility of applying DL approaches to efficiently identify and categorize influenza using data gleaned from conversations on open networks. It can thus provide efficient ways to stop and manage an Influenza epidemic

Legal Approaches To Addressing The Social Determinants Of Public Health: The Scenario In India

The enhanced scope, services, and rising investment by both public and private entities are driving the rapid and vigorous growth of the Indian healthcare system. Clinical trials, hospitals, medical equipment, telemedicine, health insurance, and medical appliances are all included in the scope of healthcare. Numerous factors, including our residence, heredity, environmental conditions, income, and education, all contribute to the health of individuals and communities and have significant effects on public health care.Environment and circumstances are major factors in determining an individual\u27s state of health as well. For the health care system to be successfully implemented, it must be designed to adhere to specific human rights norms. A strong regulatory framework is essential to achieving favourable results for human health. By enforcing sanitary regulations on things like food safety, abattoir hygiene, and water quality monitoring, it reduces the likelihood of contracting diseases. The result is a shaky human health care system due to wide gaps in the enforcement, monitoring, and evaluation processes. This is also a result of inadequate funding for medical care for people, a lack of dedication and leadership on the part of health professionals, and a lack of community

The Intersection of Public Health and Human Rights Law in India

A primary fundamental right guaranteed by the Indian constitution is health. Not every member of a community, including different groups (such as ecologists, health administrators, social scientists, and biological experts), maintains their health in the same way. In today\u27s dynamic society, novel ideas emerge from fresh ways of thinking. Over an extended duration, health has evolved from an individual\u27s concern to a global social objective that encompasses all aspects of life quality. The right to health has evolved from legislation as a source of law to a widely acknowledged human right. The ultimate goal is to establish a thorough legal foundation for the right to health. However, India lacks particular legislation pertaining to the right to health, in contrast to international and national provisions. This paper provides a brief discussion of how human rights law and public health overlap in India

Environment Aspects and Daily Life-Threatening Risk Prediction for Improving Public Health Using Ensemble Learning Techniques

Increasing work nature in the fastest world need relaxing to maintain public health is important. But the continuous imbalance of work nature in human daily life doesn’t have time to consecrate the health with leads life threatening facts such as work tension, management stress, job professional, family needs, improper periodic work cycle, and soon. By analyzing the daily public life threatening risk prediction based on Feature selection and classification to category the public health to recommend for phycological treatment.  By suggesting treatment schedule are important to balance the public health Lifecyle to make stress free life to spent with nature.  Most of prevailing techniques analyse the life-threatening issues, but the features are improperly to taken without the mutual relation cause poor accuracy in precision and classifications rate with more false prediction rate. To tackle this issue, to propose an optimized ensemble learning Techniques based on multi scalar support vector machine (MSSVM) with deep scaled XGboost classifier (DSXG-boost) to improve the prediction accuracy. Initially the public life Cycle dataset is collected and to make normalization using Min-max normalization. Then the Public Life Threat Impact Rate (PLTIR) is analysed to marginalize the heath affecting features. Then then stress margin dependencies feature limits are selected with support of MSSVM. The selected features are grouped in cluster margins and classified with deep scaled XG boost algorithm to predict the active and inactive heath margin be categorized by risk threaten class. The proposed system prove the prediction accuracy in higher precision are by selecting mutual dependencies of health affection feature limits and best recall rate to improve the performance. Based on the predicted class, the categorized life threaten risk peoples are recommends to make phycological treatment to protect the public life cycle

Analysis of Internet-Based Smart Safety Helmet Systems in Occupational Health and Safety Implementation

The Smart Safety Helmet, utilizing Industrial Revolution 4.0, addresses the high rate of construction accidents with efficient data management. Equipped with Nodemcu technology, it constantly transmits location data to related parties through a smartphone link. Upon a strong impact, the GPS Shield retrieves accident coordinates, sending an instant location link to users. Crash sensor testing reveals a baseline value of 0, triggering notifications only upon a significant impact. The tilt sensor, yielding X: 325.5, Y: 348.65, Z: 253.73, measures helmet inclination. Android smartphone testing confirms accurate data presentation. The GPS module records latitude: 0.542073, longitude: 123.089958. Discrepancies in displayed location on Google Maps result from GPS signal variations, device factors, and module placement. This integrated system ensures swift accident alerts, enhancing safety measures in the construction industry

Cloud Services Brokerage for Mobile Ubiquitous Computing

Recently, companies are adopting Mobile Cloud Computing (MCC) to efficiently deliver enterprise services to users (or consumers) on their personalized devices. MCC is the facilitation of mobile devices (e.g., smartphones, tablets, notebooks, and smart watches) to access virtualized services such as software applications, servers, storage, and network services over the Internet. With the advancement and diversity of the mobile landscape, there has been a growing trend in consumer attitude where a single user owns multiple mobile devices. This paradigm of supporting a single user or consumer to access multiple services from n-devices is referred to as the Ubiquitous Cloud Computing (UCC) or the Personal Cloud Computing. In the UCC era, consumers expect to have application and data consistency across their multiple devices and in real time. However, this expectation can be hindered by the intermittent loss of connectivity in wireless networks, user mobility, and peak load demands. Hence, this dissertation presents an architectural framework called, Cloud Services Brokerage for Mobile Ubiquitous Cloud Computing (CSB-UCC), which ensures soft real-time and reliable services consumption on multiple devices of users. The CSB-UCC acts as an application middleware broker that connects the n-devices of users to the multi-cloud services. The designed system determines the multi-cloud services based on the user's subscriptions and the n-devices are determined through device registration on the broker. The preliminary evaluations of the designed system shows that the following are achieved: 1) high scalability through the adoption of a distributed architecture of the brokerage service, 2) providing soft real-time application synchronization for consistent user experience through an enhanced mobile-to-cloud proximity-based access technique, 3) reliable error recovery from system failure through transactional services re-assignment to active nodes, and 4) transparent audit trail through access-level and context-centric provenance