scholarly journals Embedded AI-Based Digi-Healthcare

2022 ◽  
Vol 12 (1) ◽  
pp. 519
Author(s):  
Zarlish Ashfaq ◽  
Rafia Mumtaz ◽  
Abdur Rafay ◽  
Syed Mohammad Hassan Zaidi ◽  
Hadia Saleem ◽  
...  
Keyword(s):  
Health Status ◽  
Negative Impact ◽  
Human Life ◽  
Edge Computing ◽  
Healthcare Sector ◽  
Time Data ◽  
Chronic Patients ◽  
Blood Oxygen Saturation ◽  
K Nearest Neighbors ◽  
Cardiovascular Patients

Healthcare is an indispensable part of human life and chronic illnesses like cardiovascular diseases (CVD) have a deeply negative impact on the healthcare sector. Since the ever-growing population of chronic patients cannot be managed at hospitals, therefore, there is an urgent need for periodic monitoring of vital parameters and apposite treatment of these patients. In this paper, an Internet of Medical Things (IoMT) -based remote patient monitoring system is proposed which is based on Artificial Intelligence (AI) and edge computing. The primary focus of this paper is to develop an embedded prototype that can be used for remote monitoring of cardiovascular patients. The system will continuously monitor physiological parameters like body temperature, heart rate, and blood oxygen saturation, and then report the health status to the authenticated users. The system employs edge computing to perform multiple functionalities including health status inference using a Machine Learning (ML) model which makes predictions on real-time data, alert notifications in case of an emergency, and transferring data between the sensor network and the cloud. A web-based application is developed for the depiction of raw data and ML results and to provide a direct communication channel between the patient and the doctor. The ML module achieved an accuracy of 96.26% on the test set using the K-Nearest Neighbors (KNNs) algorithm. This solution aims to address the sense of emergency due to the alarming statistics that highlight the mortality rate of cardiovascular patients. The project will enable a smart option based on IoT and ML to improve standards of living and prove crucial in saving human lives.

scholarly journals An Integration of Health Monitoring System in Public Transport Using the Semantic Web of Things

2021 ◽  
Vol 27 (12) ◽  
pp. 1325-1346
Author(s):  
Abdelhalim Hadjadj ◽  
Khaled Halimi
Keyword(s):  
Health Status ◽  
Semantic Web ◽  
Health Monitoring ◽  
Public Transport ◽  
Human Life ◽  
Vital Signs ◽  
Time Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Transport Services

The integration of the Internet of Things (IoT) technology and artificial intelligence has become essential in many aspects of daily life since the expansion of the communications and information field. Healthcare is one area that urgently needs to benefit from these technologies to keep up with the dramatic evolution of communications for contemporary human life. IoT, through wearable devices, provides real-time data related to the measurement of a person’s vital signs of health. However, for this data to become more relevant and valuable, it needs to be linked to other domains. Public transport is a domain related to the daily activity of people who take advantage of the IoT to provide exemplary transport services whose quality of service can greatly affect people’s health. The integration of these two domains offers many benefits, especially when providing services adapted to passengers’ health status, making them safer and healthier. This paper proposes an approach based on an IoT architecture using Semantic Web technologies; it aims to integrate health monitoring in public transport, provide passengers with quality transport services, and ensure continuous health monitoring. The use of Semantic Web technologies overcomes the lack of interoperability due to the heterogeneity of data collected by different devices and generated by two different domains. An experimental study was conducted, and the proposed approach’s results were compared with those obtained by the evaluation of a physician. The results show that the approach is effective and should allow passengers to benefit from appropriate transport services that better match their health status.

Weight-Loss Program Assistance System for Obesity Patients Based on Internet of Things (IoT) Technology

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
I Gusti Bagus Astawa ◽  
I Ketut Agung Enriko
Keyword(s):  
Weight Loss ◽  
Internet Of Things ◽  
Mobile Application ◽  
Human Life ◽  
Weight Loss Program ◽  
Internet Technology ◽  
Healthcare Sector ◽  
Home Automation ◽  
Index Terms ◽  
Use Of Internet

These days, the use of Internet technology can be found in almost every sector of human life. One of the advanced Internet technologies is Internet of Things (IoT), that is a technology where devices can communicate via Internet connectivity. It is used in many vital industries like automotive, electricity, home automation, and healthcare. This study aims to implement IoT technology for healthcare sector, i.e. in helping obesity people to pursue their weight-loss program (WLP). The result is a system which consists of a smart weight scale, a mobile application, and food menu recommendation database in order to help obesity people in their WLP program. A trial to some obesity patients is performed to collect data. Index Terms—Internet of things; overweight; weight loss program; food recommendation

scholarly journals Effect of Work–Family Conflict, Psychological Job Demand, and Job Control on the Health Status of Nurses

2021 ◽  
Vol 18 (7) ◽  
pp. 3540
Author(s):  
Li-Chung Pien ◽  
Wan‐Ju Cheng ◽  
Kuei-Ru Chou ◽  
Li-Chiu Lin
Keyword(s):  
Health Status ◽  
Educational Level ◽  
Work Experience ◽  
Work Conditions ◽  
Job Control ◽  
Healthcare Sector ◽  
Hospital Data ◽  
Self Rated Health ◽  
Work Shifts ◽  
Work Family

Work–family conflicts (WFCs) are common in the healthcare sector and pose significant health risks to healthcare workers. This study examined the effect of WFCs on the health status and nurses’ leaving intentions in Taiwan. A self-administered questionnaire was used to survey 200 female nurses’ experiences of WFC from a regional hospital. Data on psychosocial work conditions, including work shifts, job control, psychological job demands, and workplace justice, were collected. Health conditions were measured using the Beck Depression Inventory-II and self-rated health. Leaving intentions were measured using a self-developed questionnaire. The participants’ average work experience was 6.79 (Standard Deviation (SD) = 5.26) years, their highest educational level was university, and work shifts were mostly night and rotating shifts. Approximately 75.5% of nurses perceived high levels of WFCs. Leaving intentions were correlated with WFCs (r = 0.350, p < 0.01) and psychological work demands (r = 0.377, p < 0.01). After adjusting for age, educational level, and work characteristics, high levels of WFCs were associated with poor self-rated health, and depression, but not associated with high leaving intentions. Nurses’ experiences of high levels of WFCs greatly affected their health status.

scholarly journals Machine Learning and LPWAN Based Internet of Things Applications in Healthcare Sector during COVID-19 Pandemic

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1615
Author(s):  
Zeeshan Ali Khan ◽  
Ubaid Abbasi ◽  
Sung Won Kim
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
K Nearest Neighbors ◽  
Iot Applications ◽  
Processing Resources ◽  
Multiple Services ◽  
Applications Of Machine Learning

Low power wide area networks (LPWAN) are comprised of small devices having restricted processing resources and limited energy budget. These devices are connected with each other using communication protocols. Considering their available resources, these devices can be used in a number of different Internet of Things (IoT) applications. Another interesting paradigm is machine learning, which can also be integrated with LPWAN technology to embed intelligence into these IoT applications. These machine learning-based applications combine intelligence with LPWAN and prove to be a useful tool. One such IoT application is in the medical field, where they can be used to provide multiple services. In the scenario of the COVID-19 pandemic, the importance of LPWAN-based medical services has gained particular attention. This article describes various COVID-19-related healthcare services, using the the applications of machine learning and LPWAN in improving the medical domain during the current COVID-19 pandemic. We validate our idea with the help of a case study that describes a way to reduce the spread of any pandemic using LPWAN technology and machine learning. The case study compares k-Nearest Neighbors (KNN) and trust-based algorithms for mitigating the flow of virus spread. The simulation results show the effectiveness of KNN for curtailing the COVID-19 spread.

IOT based Remote Health Monitoring System

2021 ◽  
Vol 9 (VI) ◽  
pp. 80-85
Author(s):  
Manish Chaudhary
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Human Life ◽  
New Technology ◽  
Healthcare Sector ◽  
Remote Health Monitoring ◽  
Healthcare Applications ◽  
Health Monitoring System ◽  
Remote Health Monitoring System ◽  
Remote Health

As the technology changing every year so, there has been an attempt to apply the new technology in numerous areas to increase the quality of human life. One of the main fields of research that has seen an implementation of the technology is the healthcare sector. Consequently, our paper is an effort to solve a healthcare problem currently people are facing. Main objective of our paper is to enterprise a remote healthcare system. It covers of three key parts. The first part is, detection of patient’s condition with the proposed system, second is to storing data on cloud storage and the last part is to provide the data for isolated viewing. Remote observing of the data empowers a doctor or custodian to television a patient’s health advancement from anywhere. In this project, we have obtainable an IoT architecture personalized for healthcare applications. The main motive of this scheme is to come up with a Remote Health Monitoring System that will completed with locally available sensors with a view to manufacture it reasonable for everybody

scholarly journals SISI NEGATIF GAME ONLINE PERSPEKTIF ISLAM DAN PSIKOLOGI ISLAM

2021 ◽  
Vol 5 (2) ◽  
pp. 153
Author(s):  
Khotibul Umam ◽  
Abdul Muhid
Keyword(s):  
Literature Review ◽  
Life Style ◽  
Negative Impact ◽  
Technological Development ◽  
Human Life ◽  
Online Games ◽  
Point Of View ◽  
Technological Advances ◽  
Islamic Psychology ◽  
Almost All

Technological development has changed human life style. Child's world that was once filled with traditional games has now been eroded by technological advances. Nowadays online games that replace traditional games are not only favored by children, almost all levels of human age like playing online games. But behind it all there is a negative impact that haunts its users. This study aims to reveal the negative side of using online games from the point of view of Islam and Islamic Psychology. The technique used is literature review by compiling some previous articles. The results showed that excessive use of online games will give a bad impact on the physical and psychological users, such as visual impairment, sleep disturbance, addiction, violence and stress. The use of online games is also considered more disadvantage than the benefits and it’s seen as an activity that wastes time, and it is prohibited in Islam.

scholarly journals Health Monitoring and Tracking System for Soldiers Using Internet of Things (IoT)

2021 ◽  
pp. 58-65
Author(s):  
V. Annapoorani ◽  
P. Rathna ◽  
C. Priyanka ◽  
B. Maheshwari ◽  
E. Leela
Keyword(s):  
Health Status ◽  
Internet Of Things ◽  
Health Monitoring ◽  
Tracking System ◽  
Human Life ◽  
Low Cost ◽  
Control Room ◽  
Current Location ◽  
Internet Of Thing

The paper reports an Internet of Thing (IoT) based health monitoring and tracking system for soldiers. The proposed system can be mounted on the soldier’s body to track their health status and current location using GPS. These information will be transmitted to the control room through IoT. The proposed system comprise of tiny wearable physiological equipment’s, sensors, transmission modules. Hence, with the use of the proposed equipment, it is possible to implement a low cost mechanism to protect the valuable human life on the battlefield

scholarly journals LEGAL REGULATION OF WASTE MANAGEMENT IN UKRAINE AND THE EU

2020 ◽  
pp. 67-78
Author(s):  
Oleksandr Balobanov ◽  
◽  
Anastasiia Shparlo ◽  
Keyword(s):  
Waste Management ◽  
Negative Impact ◽  
Human Life ◽  
Legal Regulation ◽  
State Regulation ◽  
Regulatory Framework ◽  
Technical Equipment ◽  
European Legislation ◽  
European Standards ◽  
Maritime Infrastructure

Ensuring the environment is safe for human life and health is one of the vital goals of the entire world community. Seaports inevitably affect the atmosphere, hydrosphere and soil. The main source of environmental pollution are merchant ships, which produce the most danger for the marine environment. The solution to the problem of waste management should be carried out through the state regulation, which should take into account the national characteristics of the population and the positive experience of European legislation. The author notes that the effective functioning and development of seaports depends on a number of factors, including the level of their technological and technical equipment, development of maritime infrastructure, compliance of the management system with modern international requirements, provision of regulatory framework. The current legislation of Ukraine and the requirements of the European legislation in the field of waste management are considered and analyzed. Approaches to solving the global problem in the context of European integration are proposed, namely: creating the necessary regulatory framework to reduce ship waste and cargo residues into the sea, as well as preventing or limiting the negative impact of seaports on the environment and human health; creation of modern infrastructure. The lack of regulation has a direct impact on the environment, on the efficiency of not only the port and transport industry, but also the economy as a whole. The study aims to highlight a fundamental criterion − waste management in the ports of Ukraine. It is concluded that in Ukraine there is no clear organizational structure of waste management. The author concludes that it is necessary to use European standards for waste management in ports

scholarly journals EMPLOYEE PERFORMANCE IN HIGH STRESSED INDIAN GARMENT INDUSTRY; A STUDY ON DESIGN & PRODUCTION HOUSE - STYLE VARIATIONS IN NEW DELHI (INDIA)

2021 ◽  
Vol 7 (1) ◽  
pp. 25-38
Author(s):  
Sharan Sharmila ◽  
◽  
Jha Vibhuti
Keyword(s):  
Work Stress ◽  
Work Experience ◽  
Negative Impact ◽  
Employee Performance ◽  
Human Life ◽  
Individual Performance ◽  
Workplace Stress ◽  
Work Place ◽  
Individual Employee ◽  
Production House

Being universal phenomenon, stress is experienced in everyday human life especially among individuals who work in different industrial set-ups at various levels of jobs. With changing work expectations, competition & environment, increasing workloads and work place politics, stress has become an integral part of employees’ life and affects individual performance. Also, due to an employee’s psychological and physiological reactions to work situation factors directly or indirectly influence the stress to appears, as resultant. Though certain level of work stress instigates the efficiency of work in positive but more stress causes negative impact on individual employee and in turn to organization too. Employees handle such stress without letting it influence their performances but fail to do so with growing work stress beyond certain level. On organization side, it also depends upon type of industry and nature of competition faced by the organization in market. On individual side, this stress impact on performance varies with work experience, demographics and length of service years. In order or assess workplace stress and its influence on individual employee, this study is done on a garment manufacturing organization in India, which is prone to high work stress due to its competitive nature of business.

scholarly journals Broiler health status has a major negative impact on broiler flock contamination with Campylobacter spp. in Lithuania

2017 ◽  
Vol 17 (3) ◽  
pp. 799-817 ◽  
Author(s):  
Viktorija Lėgaudaitė-Lydekaitienė ◽  
Loreta Šernienė ◽  
Vaida Vismantaitė ◽  
Mindaugas Malakauskas ◽  
Eglė Kudirkienė
Keyword(s):  
Risk Factors ◽  
Health Status ◽  
Negative Impact ◽  
Ventilation System ◽  
Average Weight ◽  
Broiler Flock ◽  
Negative Effect ◽  
Broiler Farm ◽  
Campylobacter Infection ◽  
Campylobacter Spp

Abstract The objective of this study was to determine risk factors for Campylobacter infection in broiler flocks in Lithuania. Each broiler flock was tested for the contamination with Campylobacter spp., and various broiler farm, flock and abattoir as well as the weather-associated characteristics were analysed using the statistical package SPSS. Study revealed that 59.3% of the examined broiler flocks were contaminated with Campylobacter spp. Statistical analysis revealed that broiler flock contamination with Campylobacter was abattoir- and farm-dependent. Among a number of risk factors (e.g. the number of broiler houses at the farm, the type of ventilation system, the presence of the anteroom and boot security, etc.) identified, two broiler health-associated characteristics: (i) broiler age and (ii) the average weight per bird at abattoir had the highest impact on the increased prevalence of Campylobacter spp. in broilers. According to our results broiler health status has a major negative effect on broiler flock contamination with Campylobacter. Thus, it needs to be considered when improving control of Campylobacter spp. in broilers.

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