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Keyword: HealthIoT System and Deep Learning Model to Predict Cardiovascular Disease Based on ECG Signal
In this work, our contribution will intervene to reduce the impact of noises on the ECG signals. Various ECG denoising approaches were tested to see how efficient they were in removing dominant noises that add to pure ECG signals. Due to different causes such as interference, muscular noise, body movement related to breathing, and so…
Read MoreDesign and Implementation of an Automated Medicinal-Pill Dispenser with Wireless and Cellular Connectivity
Medical adherence is a major concern globally and is increasing with improved access to medication. Unfortunately, patients taking multiple medications often struggle with confusion about when and how to take each medication. To address this issue, an inexpensive domestic device has been proposed to improve medication adherence. This device uses Wi-Fi and cellular Internet of…
Read MoreHistoChain: Improving Consortium Blockchain Scalability using Historical Blockchains
Blockchain technology has been successfully applied in many fields for immutable and secure data storage. However, for applications with on-chain big data, blockchain scalability remains to be a main concern. In this paper, we propose a novel scalable storage scheme, called HistoChain, for a consortium blockchain network to manage blockchain data. We use a current…
Read MoreDetecting CTC Attack in IoMT Communications using Deep Learning Approach
Cyber security is based on different principles such as confidentiality and integrity of transmitted data. One of the main methods to send confidential messages is to use a shared secret to encrypt and decrypt them. Even if the amortized computational complexity of the hashing functions is Ο(1), there are several situations when it is not…
Read MoreEmerging Trends in Green Best Practices and the Impact on Government Policy
While it is commonly accepted that climate change needs to be addressed to protect both human and environmental health, it is not widely understood what steps need to be taken to accomplish this daunting task. Additionally, there is currently no formal definition of what constitutes a ‘green’ company or ‘green’ best practice, despite the rising…
Read MoreEstimating Subjective Appetite based on Cerebral Blood Flow
This study aims to develop and validate a biological food preference task that simultaneously evaluates biological responses to visual stimuli of various food states and subjective evaluations of foods and to examine how these biological responses are related to food preference behavior. We recruited seventeen healthy male and female subjects to observe changes in cerebral…
Read MoreA Cloud Telemedicine Platform Based on Workflow Management System: A Review of an Italian Case Study
The paper aims to describe a new technological and organizational approach in order to manage teleconsultation and telemonitoring processes involving a Physician, who remotely interacts with one or more Specialists, in order to evaluate and discuss the specific clinical conditions of a patient, based primarily on the sharing of digital clinical data, reports and diagnostic…
Read MoreHybrid Neural Network Method for Predicting the SOH and RUL of Lithium-Ion Batteries
The use of a battery to power an electrical or electronic system is accompanied by battery management, i.e. a set of measures intended to preserve it for preventative maintenance, thus the cost reduction. This management is generally based on two key parameters, the (remaining useful life) RUL and the (State-of-health) SOH, which relate respectively to…
Read MoreA Machine Learning Model Selection Considering Tradeoffs between Accuracy and Interpretability
Applying black-box ML models in high-stakes fields like criminology, healthcare and real-time operating systems might create issues because of poor interpretability and complexity. Also, model building methods that include interpretability is now one of the growing research topics due to the absence of interpretability metrics that are both model-agnostic and quantitative. This paper introduces model…
Read MoreAutomated Robotic System for Sample Preparation and Measurement of Heavy Metals in Indoor Dust Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
Dust is ubiquitous in our daily environment—outdoor and indoor. In modern times, people often spend the majority of their time at home, in offices, at work or in schools. Suspended particles such as tiny crumbs up to long fibers generate indoor dust deposits. Inhouse sources are the interior releasing abraded fibers from carpets, bedding and…
Read MoreCOVIDFREE App: The User-Enabling Contact Prevention Application: A Review
The use of Covid-19 contact tracing applications has become almost irrelevant now that several flavors of Covid-19 vaccine have been developed and are constantly being distributed to people during the pandemic to help alleviate the need for lockdowns. Also, the availability of at-home testing kits and testing sites means that people do not need to…
Read MorePredicting School Children Academic Performance Using Machine Learning Techniques
The study aims to assess the machine learning techniques in predicting students’ associated factors that affect their academic performance. The study sample consisted of 5084 middle and high school students between the ages of 10 and 17, attending public and UNRWA schools in the West Bank. The ‘Health Behaviors School Children’ questionnaire for the 2013-2014…
Read MorePersonalized Clinical Treatment Selection Using Genetic Algorithm and Analytic Hierarchy Process
The development of Machine Learning methods and approaches offers enormous growth opportunities in the Healthcare field. One of the most exciting challenges in this field is the automation of clinical treatment selection for patient state optimization. Using necessary medical data and the application of Machine Learning methods (like the Genetic Algorithm and the Analytic Hierarchy…
Read MoreDevices and Methods for Microclimate Research in Closed Areas – Underground Mining
Technical safety and health are especially important for mining-extracting industry. Even though the respective lows and good engineering practices exist, technologies develop and could address even better security for humans and equipment. The research question is to survey microclimate sensors in underground mining and to find whether they are ready for automation. The article is…
Read MoreRemote Patient Monitoring Systems with 5G Networks
The new generation of mobile communications and the recent advances in data management are going to enable a fast transformation in the health sector of many countries. 5G networks, with superior technical characteristics, would allow the development of a new set of application and services gathered under the concept of eHealth. In this article we…
Read MoreThe Operational Performance of Mass Transportation Before Covid-19 and New Normal Life: Case Study BRT TransJateng, Central Java
This article examines the operational performance of Bus Rapid Transit (BRT) before the pandemic and a new normal life. Overview of BRT operational performance in terms of the number of passengers transported, load factor and operating ratio. The method used is to compare the conditions before the pandemic and the new era of life. The…
Read MoreA Critical Analysis of the Integrated Industry Waste Tyre Management Plan of South Africa
Municipal general waste accumulation including the general waste category of end-of-life tyres has become a universal predicament especially in the majority of first world countries as well as in the third world countries. South Africa is recognized for its economic growth and improved living standards of people which has led to the increased accumulation rates…
Read MoreFramework for Decentralizing Municipal Solid Waste Management in Harare, Zimbabwe
Municipal Solid Waste Management (MSWM) decentralisation brings about reductions in the amount of municipal solid waste (MSW) earmarked for landfilling worse still under situations where MSW is being sent to dumpsites. It also reduces the distances MSW collection vehicles travel during MSW collection, maintenance and transport costs due to the establishment of local level decentralised…
Read MoreAssessment of the Municipal Solid Waste Transfer Stations Suitability in Harare, Zimbabwe
The suitability of incorporating waste transfer stations (WTS) in likely future Municipal Solid Waste Management (MSWM) systems for Harare city and neighbouring urban centres was assessed under this study. WTS will bring about location of landfills and other MSWM facilities further away from population centres, increasing recycling, reducing waste collection costs and burden on the…
Read MoreCoronal Spinal Postural Alignment Screening Tool using Markerless Digital Photography
Early detection and proper management of adult degenerative scoliosis (ADS) are important for health promotion. This study aims to develop an ADS screening tool from markerless digital photography and verify its reliability. The study included 17 participants. Outer canthus–horizontal angle (OHA) and trapezius–horizontal angle (THA) were calculated from the image of the upper body of…
Read MoreQuality Function Deployment: Comprehensive Framework for Patient Satisfaction in Private Hospitals
This paper addresses the quality of private healthcare services in the western region of the Kingdom of Saudi Arabia (KSA) and provides a comprehensive analysis of the customer requirement to improve the quality of these services. The study begins by reviewing literature on the subject of quality in general and then in terms of the…
Read MoreSurvey of Agent-Based Simulations for Modelling COVID-19 Pandemic
On the 11th of March 2020, the World Health Organization (WHO) declared COVID-19 as a pandemic. Part of controlling measures of the pandemic is to understand the disease’s trajectories. There are several possible interventions that can prevent and control its spread. Determining an optimal strategy is critical for policymakers to understand the impact of different…
Read MoreInvestigation of the Impact of Distributed Generation on Power System Protection
Integration of Distributed Generation (DG) on distribution networks has a positive impact which includes the following: low power losses, improved utility system reliability and voltage improvement at buses. A real distribution network is radial in which energy flow is unidirectional from generation to transmission and from distribution to the load. However, when a DG is…
Read MoreBlockchain Technology-Based Good Distribution Practice Model of Pharmacy Industry in Indonesia
Distribution is the main activity in integrated product supply chain management. In the pharmaceutical industry, the process of drug distribution is important because of the handling, storage, and distribution of medicinal products with good standards and quality. The problem that occurs in the pharmaceutical industry is the circulation of counterfeit drugs by related parties, for…
Read MoreDesigning and Applying a Moral Turing Test
This study attempts to develop theoretical criteria for verifying the morality of the actions of artificial intelligent agents, using the Turing test as an archetype and inspiration. This study develops ethical criteria established based on Kohlberg’s moral development theory that might help determine the types of moral acts committed by artificial intelligent agents. Subsequently, it…
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