Social determining factors such as the adverse influence of globalization, supermarket growth, fast unplanned urbanization, sedentary lifestyle, economy, and social position slowly develop behavioral risk in humans. Behavioral unhealthy habits, improper diet, physical inactivity lead to physiological risks, “obesity/overweight” is one consequences. “Obesity overweight” are major lifestyle diseases that leads other health conditions, cardiovascular (CVDs), chronic obstructive pulmonary...

“Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)”, the novel coronavirus, is responsible for ongoing worldwide pandemic. “World Health Organization (WHO)” assigned an “International Classification of Diseases (ICD)” code—“COVID-19”-as name new disease. Coronaviruses are generally transferred by people and many diverse species animals, including birds mammals such as cattle, camels, cats, bats. Infrequently, coronavirus can be from animals to humans, then propagate among people,...

Heart Rate Variability (HRV) serves as a vital marker of stress levels, with lower HRV indicating higher stress. It measures the variation in time between heartbeats and offers insights into health. Artificial intelligence (AI) research aims to use data for accurate level classification, aiding early detection well-being approaches. This study's objective is create semantic model features knowledge graph develop an accurate, reliable, explainable, ethical AI predictive analysis. The SWELL-KW...

Lifestyle diseases, because of adverse health behavior, are the foremost cause death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle with early risk prediction, personalized recommendation generation, and goal evaluation. Such an needs collect transform distributed heterogenous wellness data into meaningful information train artificially intelligent prediction model. However, it produce compatibility dilemma. Our proposed eHealth ontology can increase...

Heterogeneity is a problem in storing and exchanging data digital health information system (HIS) following semantic structural integrity. The existing literature shows different methods to overcome this problem. Fast healthcare interoperable resources (FHIR) as standard may explain other models, (e.g., personal, physiological, behavioral from heterogeneous sources, such activity sensors, questionnaires, interviews) with vocabularies, Systematized Nomenclature of Medicine—Clinical Terms...

Regular physical activity (PA), healthy habits, and an appropriate diet are recommended guidelines to maintain a lifestyle. A lifestyle can help avoid chronic diseases long-term illnesses. monitoring automatic personalized recommendation system (i.e., electronic coach or eCoach) with considering clinical ethical guidelines, individual health status, condition, preferences may successfully participants follow recommendations As prerequisite for the prototype design of such helpful eCoach...

In this study, we implemented an integrated security solution with Spring Security and Keycloak open-access platform (SSK) to secure data collection exchange over microservice architecture application programming interfaces (APIs). The adopted the following features: open authorization, multi-factor authentication, identity brokering, user management safeguard APIs. Then, extended a virtual private network (VPN), Blowfish crypt (Bcrypt) hash, encryption method, API key, firewall, socket...

Stress is a natural human reaction to demands or pressure, usually when perceived as harmful or/and toxic. When stress becomes constantly overwhelmed and prolonged, it increases the risk of mental health physiological uneasiness. Furthermore, chronic raises likelihood plagues such anxiety, depression, sleep disorder. Although measuring using parameters heart rate variability (HRV) common approach, how achieve ultra-high accuracy based on HRV measurements remains challenging task. not...

Heart Rate is an important physiological parameter for health monitoring. Measurement with smart phone used by many people all over the world and different applications are developed. Mobile camera detects Electro Magnetic radiation at 350-1000nm wavelengths & in that wavelength range, 700-1000nm IR radiation. Infrared a special form of invisible electromagnetic wave can be felt heat. Visible light's 400-700nm. Here our study, we have focused on Non-Invasive PPG signal based HeartRate...

Research in eHealth has opened a new dimension to improve personal healthcare with the help of information and communication technologies (ICT). is an `umbrella term' for use ICT health. Remote care-giving (mHealth, Telehealth, Telemedicine) are extended branch initiatives. The concept health e- Coaching another promising initiative research real-time personalized lifestyle support. focus initiatives deliver high quality, evidence-based, secure, cost- effective, timely care support people...

Automatic e-coaching may motivate individuals to lead a healthy lifestyle with early health risk prediction, personalized recommendation generation, and goal evaluation. Multiple studies have reported on uninterrupted automatic monitoring of behavioral aspects (such as sedentary time, amount, type physical activity); however, feedback techniques are still in nascent stage. Current intelligent coaching strategies mostly based the handcrafted string messages that rarely individualize each...

Leading a sedentary lifestyle may cause numerous health problems. Therefore, passive changes should be given priority to avoid severe long-term damage. Automatic coaching system help people manage healthy with continuous state monitoring and personalized recommendation generation machine learning (ML). This study proposes semantic ontology model annotate the ML-prediction outcomes personal preferences conceptualize hybrid approach. We use transfer approach improve ML training its...

Hawking radiation from a non-extremal black hole is known to be approximately Planckian. The thermal spectrum receives multiple corrections including greybody factors and due kinematical restrictions on the infrared ultraviolet frequencies. We show that another significant correction arises if assumed live in bath emitted gets thermalised at temperature. This modification reshapes spectrum, leads appreciable deviation standard results decay rate of holes. argue this altered has significance...

Industry 4.0 is characterized by digitalized production facilities, where a large volume of sensors collect vast amount data that used to increase the sustainability e.g. optimizing process parameters, reducing machine downtime and material waste, like. However, making intelligent data-driven decisions under timeliness constraints requires integration time-sensitive networks with reliable ingestion processing infrastructure plug-in support Machine Learning (ML) pipelines. such difficult due...

Abstract Electronic coaching (eCoach) facilitates goal-focused development for individuals to optimize certain human behavior. However, the automatic generation of personalized recommendations in eCoaching remains a challenging task. This research paper introduces novel approach that combines deep learning and semantic ontologies generate hybrid by considering “Physical Activity” as case study. To achieve this, we employ three methods: time-series forecasting, physical activity level...