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Articles 1351 - 1380 of 1803

Full-Text Articles in Computer Sciences

System Identification Of Motion Artifact: Noise In Eeg Headsets From Locomotion, Kaela Shea, James Tung Jan 2017

System Identification Of Motion Artifact: Noise In Eeg Headsets From Locomotion, Kaela Shea, James Tung

H-Workload 2017: Models and Applications (Works in Progress)

Fall prevention for geriatric populations is a growing concern among clinicians and researchers due to severe risk of morbidity and loss of independence. Emerging evidence has demonstrated that mental workload while walking influences gait stability and the risk for falling. Electroencephalography (EEG) presents a potential method to provide objective measures of mental workload, particularly during daily activities. Noise introduced to the EEG signal during motion, however, is restrictive. The study presented in the following paper isolates EEG signal noise attained from gait for a commercially accessible EEG system, the "Emotiv" Time and spectral system identification techniques were applied to model …


Online Measuring Of Available Resources, Enrique Munoz-De-Escalona, José Juan Canas Jan 2017

Online Measuring Of Available Resources, Enrique Munoz-De-Escalona, José Juan Canas

H-Workload 2017: Models and Applications (Works in Progress)

This paper present a proposal for measuring available mental resources during the accomplishment of a task. Our proposal consists in measuring emotions provoked by perceived self-efficacy in the execution of the task. Self-efficacy is one of the most important factors that affect the resources that a person puts at the disposal of the execution of the task. When a person perceives that he/she is not being effective he/she will activate more resources to improve his performance. This self-efficacy will be reflected in the emotions that the person experiences. A good efficacy will provoke positive emotions and a bad efficacy negative …


The Relationship Between Technology Threat Avoidance And Innovation In Health Care Organizations, Melvin R. Fenner Jr Jan 2017

The Relationship Between Technology Threat Avoidance And Innovation In Health Care Organizations, Melvin R. Fenner Jr

Walden Dissertations and Doctoral Studies

Most leaders of healthcare delivery organizations have increased their rate of technological innovation, but some still struggle to keep pace with other industries. The problem addressed in this study was that senior leaders in some rural ambulatory healthcare facilities failed to innovate, even with recent healthcare technological innovations, which could lead to increased medical errors and a loss of efficiency. The purpose of the study was to examine if a relationship exists between the avoidance of technology threats by senior leaders in ambulatory healthcare organizations and the innovation propensity of the organization. Technology threat avoidance theory served as the theoretical …


A Workload-Centered Perspective On Reduced Crew Operations In Commercial Aviation, Daniela Schmid Jan 2017

A Workload-Centered Perspective On Reduced Crew Operations In Commercial Aviation, Daniela Schmid

H-Workload 2017: Models and Applications (Works in Progress)

Mental workload of a pilot, in short workload, depends on various characteristics of different accumulated tasks on the flight deck. Exogenous task demands and endogenous supply of attentional or information processing resources determine workload [1]. Performance is expect to drop if the demand exceeds the available resources of the pilot. Expertise and experience modulate the endogenous sup- ply of resources like perceiving, updating memory, planing, making a decision, and executing and processing a response. Subsequently, workload manifests in performance variables, subjective experience, and physiological parameters [2]. This is how we can summarize workload very brie y to introduce a model …


A Pilot Study Into Bio-Behavioural Measurements On Air Traffic Controllers In Remote Tower Operations, Tanja Bos, Rolf Zon, Eszter Furedi, Dezso Dudas, Daniel Rohacs Jan 2017

A Pilot Study Into Bio-Behavioural Measurements On Air Traffic Controllers In Remote Tower Operations, Tanja Bos, Rolf Zon, Eszter Furedi, Dezso Dudas, Daniel Rohacs

H-Workload 2017: Models and Applications (Works in Progress)

What is the impact of shifting to remote tower operations on the Air Traffic Controller? In the joint HungaroControl-Netherlands Aerospace Centre NLR pilot project an assessment of bio-behaviour on three air traffic controllers was made in a remote tower and conventional tower. The research is motivated by HungaroControl’s plans in shifting to remote tower operations at Budapest airport in the upcoming years. This pilot project is considered a feasibility study to investigate if an eye tracker and a heart rate sensor can be used to derive workload, the controllers’ division of attention over information elements, and scanning strategies in two …


A Systems Approach To Predicting And Measuring Workload In Rail Traffic Management Systems, Joanna Evans Jan 2017

A Systems Approach To Predicting And Measuring Workload In Rail Traffic Management Systems, Joanna Evans

H-Workload 2017: Models and Applications (Works in Progress)

The introduction of systems such as Traffic Management (TM) will result in a number of changes in how the railway is managed for operations and maintenance staff such as, an increase in collaborative working styles and shared responsibilities. In order to react to these changing operational demands and user needs, TM workstation designs need to have greater flexibility and be configurable to support the information requirements for each specific role as well as support each role during different scenarios. Although this flexibility in system design has the potential to enhance performance, it increases the complexity of measuring operator workload. The …


Intelligent Profiling Of Blood Donors In Ireland, Joanna Kossakowska Jan 2017

Intelligent Profiling Of Blood Donors In Ireland, Joanna Kossakowska

Theses

The demand for blood products in Ireland is constantly rising due to population growth and population ageing. It is believed that within the next decade these two factors will present challenges to blood donor recruitment and the availability of blood supplies. Improving the retention of blood donors will have a positive impact on the availability of blood products. Identification of suitable donors with the potential for long-term donating can potentially enhance the predictability of blood supply levels.

This research proposes that the patterns of blood donation behaviours of donors can be isolated from blood donor databases held by blood collecting …


Enhanced Breast Cancer Classification With Automatic Thresholding Using Support Vector Machine And Harris Corner Detection, Mohammad Taheri Jan 2017

Enhanced Breast Cancer Classification With Automatic Thresholding Using Support Vector Machine And Harris Corner Detection, Mohammad Taheri

Electronic Theses and Dissertations

Image classification and extracting the characteristics of a tumor are the powerful tools in medical science. In case of breast cancer medical treatment, the breast cancer classification methods can be used to classify input images as benign and malignant classes for better diagnoses and earlier detection with breast tumors. However, classification process can be challenging because of the existence of noise in the images, and complicated structures of the image. Manual classification of the images is timeconsuming, and need to be done only by medical experts. Hence using an automated medical image classification tool is useful and necessary. In addition, …


Optimized Multilayer Perceptron With Dynamic Learning Rate To Classify Breast Microwave Tomography Image, Chulwoo Pack Jan 2017

Optimized Multilayer Perceptron With Dynamic Learning Rate To Classify Breast Microwave Tomography Image, Chulwoo Pack

Electronic Theses and Dissertations

Most recently developed Computer Aided Diagnosis (CAD) systems and their related research is based on medical images that are usually obtained through conventional imaging techniques such as Magnetic Resonance Imaging (MRI), x-ray mammography, and ultrasound. With the development of a new imaging technology called Microwave Tomography Imaging (MTI), it has become inevitable to develop a CAD system that can show promising performance using new format of data. The platform can have a flexibility on its input by adopting Artificial Neural Network (ANN) as a classifier. Among the various phases of CAD system, we have focused on optimizing the classification phase …


Exploring Security, Privacy, And Reliability Strategies To Enable The Adoption Of Iot, Daud Alyas Kamin Jan 2017

Exploring Security, Privacy, And Reliability Strategies To Enable The Adoption Of Iot, Daud Alyas Kamin

Walden Dissertations and Doctoral Studies

The Internet of things (IoT) is a technology that will enable machine-to-machine communication and eventually set the stage for self-driving cars, smart cities, and remote care for patients. However, some barriers that organizations face prevent them from the adoption of IoT. The purpose of this qualitative exploratory case study was to explore strategies that organization information technology (IT) leaders use for security, privacy, and reliability to enable the adoption of IoT devices. The study population included organization IT leaders who had knowledge or perceptions of security, privacy, and reliability strategies to adopt IoT at an organization in the eastern region …


Simulating Foodborne Pathogens In Poultry Production And Processing To Defend Against Intentional Contamination, S. Lankford, D. R. Thompson, S. C. Ricke Jan 2017

Simulating Foodborne Pathogens In Poultry Production And Processing To Defend Against Intentional Contamination, S. Lankford, D. R. Thompson, S. C. Ricke

Journal of the Arkansas Academy of Science

There is a lack of data in recent history of food terrorism attacks, and as such, it is difficult to predict its impact. The food supply industry is one of the most vulnerable industries for terrorist threats while the poultry industry is one of the largest food industries in the United States. A small food terrorism attack against a single poultry processing center has the potential to affect a much larger human population than its immediate consumers. In this work, the spread of foodborne pathogens is simulated in a poultry production and processing system to defend against intentional contamination. An …


Visualizing Morphogenesis With The Processing Programming Language, Avik Patel, Amar Bains, Richard Millet, Tamira Elul Jan 2017

Visualizing Morphogenesis With The Processing Programming Language, Avik Patel, Amar Bains, Richard Millet, Tamira Elul

Faculty Publications & Research of the TUC College of Osteopathic Medicine

We used Processing, a visual artists’ programming language developed at MIT Media Lab, to simulate cellular mechanisms of morphogenesis – the generation of form and shape in embryonic tissues. Based on observations of in vivo time-lapse image sequences, we created animations of neural cell motility responsible for elongating the spinal cord, and of optic axon branching dynamics that establish primary visual connectivity. These visual models underscore the significance of the computational decomposition of cellular dynamics underlying morphogenesis.


The Benefits Of Task And Cognitive Workload Support For Operators In Ground Handling, Maria Chiara Leva, Yilmar Builes Jan 2017

The Benefits Of Task And Cognitive Workload Support For Operators In Ground Handling, Maria Chiara Leva, Yilmar Builes

Conference papers

The scope of the present work is to report an action research project applied to the relationship of task and cognitive workload support on one of the most important aspects of an airport: ground handling. At the beginning of the project workload management was not in the scope of work but as the project progressed and preliminary results and feedback were gained the researcher came to realize that some form of workload management support was also achieved as a by-product. The present paper is an attempt to account for what was achieved and how. Safe and efficient ground handling during …


Detecting Agitation Onset In Individuals With Dementia Using Smart Phone Sensors, Christianne Fowler, Ajay Gupta, Kurt Maly, Karen Karlowicz, Maheedhar Gunnam, Rohila Gudipati, Mahesh Kukunooru, Rahul Rachamalla Jan 2017

Detecting Agitation Onset In Individuals With Dementia Using Smart Phone Sensors, Christianne Fowler, Ajay Gupta, Kurt Maly, Karen Karlowicz, Maheedhar Gunnam, Rohila Gudipati, Mahesh Kukunooru, Rahul Rachamalla

Ellmer School of Nursing Faculty Publications

Individuals living with dementia (ILWD) often experience problematic agitated behaviors, this occurs in up to 80% of ILWD. These behaviors lead to stress for caregivers and increased frequency of institutionalization. There are many proven methods to intervene during agitated behavior outburst and the earlier these methods are used the better the results. Technology has been used successfully to monitor many aspects of health monitoring for older adults. Technology is now being investigated to evaluate the effectiveness of predicting the onset of problem behaviors, especially escalating agitation in ILWD. Off the shelf technology, smart watches and android phones, are being tested …


A Multi-Model Approach In Developing An Intelligent Assistant For Diagnosis Recommendation In Clinical Health Systems, Christian E. Pulmano, Ma. Regina Justina E. Estuar Jan 2017

A Multi-Model Approach In Developing An Intelligent Assistant For Diagnosis Recommendation In Clinical Health Systems, Christian E. Pulmano, Ma. Regina Justina E. Estuar

Department of Information Systems & Computer Science Faculty Publications

Clinical health information systems capture massive amounts of unstructured data from various health and medical facilities. This study utilizes unstructured patient clinical text data to develop an intelligent assistant that can identify possible related diagnoses based on a given text input. The approach applies a one-vs-rest binary classification technique wherein given an input text data, it is identified whether it can be positively or negatively classified for a given diagnosis. Multi-layer Feed-Forward Neural Network models were developed for each individual diagnosis case. The task of the intelligent assistant is to iterate over all the different models and return those that …


Improving Workflow At The Point Of Care Using The Electronic Health Record, Rox Ann Sparks Jan 2017

Improving Workflow At The Point Of Care Using The Electronic Health Record, Rox Ann Sparks

Walden Dissertations and Doctoral Studies

The electronic health record (EHR) is an important part of the effort to improve health care and reduce costs in the United States. Primary care providers, among the largest group of caregivers in the nation, often experience difficulty with implementation and utilization of EHRs. Efforts to enhance the provider's effectiveness in the use of the EHR should result in improved patient outcomes as well as decreasing the overall cost of health care. Guided by the diffusion of innovation theory, this project was initiated to develop a plan for improved usage of the EHR in a primary care setting. A survey …


Health Portal Functionality And The Use Of Patient-Centered Technology, Anita Joyce Simmons Jan 2017

Health Portal Functionality And The Use Of Patient-Centered Technology, Anita Joyce Simmons

Walden Dissertations and Doctoral Studies

Health portals are dedicated web pages for medical practices to provide patients access to their electronic health records. The problem identified in this quality improvement project was that the health portal in the urgent care setting had not been available to staff nor patients. To provide leadership with information related to opening the portal, the first purpose of the project was to assess staff and patients' perceived use, ease of use, attitude toward using, and intention to use the portal. The second purpose was to evaluate the portal education materials for the top 5 urgent care diagnoses: diabetes, hypertension, asthma, …


Nursing Informatics Competency Program, Kristina Ann Dunn Jan 2017

Nursing Informatics Competency Program, Kristina Ann Dunn

Walden Dissertations and Doctoral Studies

Currently, C Hospital lacks a standardized nursing informatics competency program to validate nurses' skills and knowledge in using electronic medical records (EMRs). At the study locale, the organization is about to embark on the implementation of a new, more comprehensive EMR system. All departments will be required to use the new EMR, unlike the current policy that allows some areas to still document on paper. The Institute of Medicine, National League of Nursing, and American Association of Colleges of Nursing support and recommend that information technology be an essential core competency for nurses. Evidence of the need for nursing informatic …


Internet Health Information Seeking And The Patient-Physician Relationship: A Systematic Review, Sharon Swee-Lin Tan, Nadee Goonawardene Jan 2017

Internet Health Information Seeking And The Patient-Physician Relationship: A Systematic Review, Sharon Swee-Lin Tan, Nadee Goonawardene

Research Collection School Of Computing and Information Systems

Background: With online health information becoming increasingly popular among patients, concerns have been raised about the impact of patients' Internet health information-seeking behavior on their relationship with physicians. Therefore, it is pertinent to understand the influence of online health information on the patient-physician relationship. Objective: Our objective was to systematically review existing research on patients' Internet health information seeking and its influence on the patient-physician relationship. Methods: We systematically searched PubMed and key medical informatics, information systems, and communication science journals covering the period of 2000 to 2015. Empirical articles that were in English were included. We analyzed the content …


Strategies Hospital Leaders Use In Implementing Electronic Medical Record Systems, Shaunette Miller Jan 2017

Strategies Hospital Leaders Use In Implementing Electronic Medical Record Systems, Shaunette Miller

Walden Dissertations and Doctoral Studies

Some hospital leaders lacked strategies for implementing electronic medical record (EMR) systems. The purpose of this case study was to explore successful strategies that hospital leaders used in implementing EMR systems. The target population consisted of hospital leaders who succeeded in implementing EMR systems in a single healthcare organization located in the Los Angeles, California region. The conceptual framework used was Kotter's (1996) eight-step process for leading change, and data were collected from face-to-face recorded interviews with 5 participants and from company documents related to EMR design and development. Data were analyzed through methodological triangulation of data types, and exploring …


Assessing Patient And Caregiver Intent To Use Mobile Device Videoconferencing For Remote Mechanically-Ventilated Patient Management, Brian R. Smith Jan 2017

Assessing Patient And Caregiver Intent To Use Mobile Device Videoconferencing For Remote Mechanically-Ventilated Patient Management, Brian R. Smith

Master's Theses and Doctoral Dissertations

The Michigan Medicine adult Assisted Ventilation Clinic (AVC) supports patients with neuromuscular disorders and spinal cord injuries and their caregivers at home, helping them avoid expensive emergency department visits, hospitalization, and unnecessary or excessive treatments. Mobile device videoconferencing provides an effective capability for remote mechanically-ventilated patient management but must rely upon an unknown infrastructure comprising patient and caregiver mobile device ownership, connectivity, and experience—and intent to use the service if provided. The purpose of this study was to measure the extent of this infrastructure and the perceived ease of use, perceived usefulness, and intent to use this mobile device …


Educating Nurses On Workflow Changes From Electronic Health Record Adoption, Rhoda Lynn Atienza San Jose Jan 2017

Educating Nurses On Workflow Changes From Electronic Health Record Adoption, Rhoda Lynn Atienza San Jose

Walden Dissertations and Doctoral Studies

Workflow issues related to adoption of the electronic health record (EHR) has led to unsafe workarounds, decreased productivity, inefficient clinical documentation and slow rates of EHR adoption. The problem addressed in this quality improvement project was nurses' lack of knowledge about workflow changes due to EHR adoption. The purpose of this project was to identify changes in workflow and to develop an educational module to communicate the changes. This project was guided by both the ADDIE model (analysis, design, development, implementation, and evaluation) and the diffusion of innovations theory. Five stages were involved: process mapping, cognitive walkthrough, eLearning module development, …


Nursing Approaches For Use And Sustainability Of Barcode Medication Administration Technology, Jackson Ngigi Njeru Jan 2017

Nursing Approaches For Use And Sustainability Of Barcode Medication Administration Technology, Jackson Ngigi Njeru

Walden Dissertations and Doctoral Studies

Approximately 43.4% of medication errors occur at the time of administration despite the use of bar code medication administration (BCMA) System. This trend has prompted a national effort to mitigate this problem in the United States. Implementing BCMA in health care settings is one of those efforts. Studies focusing on the approaches employed by nurses when using this system are scant. The purpose of this qualitative case study was to investigate strategies nurses and their leaders use to ensure BCMA is implemented, maximized, and sustained. The technology acceptance model was used to guide the study. The 2 research questions addressed …


Research Strategies For Biomedical And Health Informatics: Some Thought-Provoking And Critical Proposals To Encourage Scientific Debate On The Nature Of Good Research In Medical Informatics, Reinhold Haux, Et Al. Jan 2017

Research Strategies For Biomedical And Health Informatics: Some Thought-Provoking And Critical Proposals To Encourage Scientific Debate On The Nature Of Good Research In Medical Informatics, Reinhold Haux, Et Al.

Research Collection School Of Computing and Information Systems

Medical informatics, or biomedical and health informatics (BMHI), has become an established scientific discipline. In all such disciplines there is a certain inertia to persist in focusing on well-established research areas and to hold on to well-known research methodologies rather than adopting new ones, which may be more appropriate. To search for answers to the following questions: What are research fields in informatics, which are not being currently adequately addressed, and which methodological approaches might be insufficiently used? Do we know about reasons? What could be consequences of change for research and for education? Outstanding informatics scientists were invited to …


Computational Fluid Dynamics In A Terminal Alveolated Bronchiole Duct With Expanding Walls: Proof-Of-Concept In Openfoam, Jeremy Myers Jan 2017

Computational Fluid Dynamics In A Terminal Alveolated Bronchiole Duct With Expanding Walls: Proof-Of-Concept In Openfoam, Jeremy Myers

Theses and Dissertations

Mathematical Biology has found recent success applying Computational Fluid Dynamics (CFD) to model airflow in the human lung. Detailed modeling of flow patterns in the alveoli, where the oxygen-carbon dioxide gas exchange occurs, has provided data that is useful in treating illnesses and designing drug-delivery systems. Unfortunately, many CFD software packages have high licensing fees that are out of reach for independent researchers. This thesis uses three open-source software packages, Gmsh, OpenFOAM, and ParaView, to design a mesh, create a simulation, and visualize the results of an idealized terminal alveolar sac model. This model successfully demonstrates that OpenFOAM can be …


Towards A Continuous Assessment Of Cognitive Workload For Smartphone Multitasking Users, Angel Jimenez-Molina, Hernan Lira Jan 2017

Towards A Continuous Assessment Of Cognitive Workload For Smartphone Multitasking Users, Angel Jimenez-Molina, Hernan Lira

H-Workload 2017: Models and Applications (Works in Progress)

The intermeshing of Smartphone interactions and daily activities depletes the availability of cognitive resources. This excessive demand may lead to several undesirable cognitive states, which can be avoided by continuously assessing the user cognitive workload. Recently, many attempts have emerged to assess this workload by using psycho physiological signals. This paper provides evidence that it is possible to train models that accurately identify in short time windows such cognitive workload by processing heart rate and blood oxygen saturation signals. This assessment could be applied in Smartphone notification delivery, interface adaptations or cognitive capabilities evaluation.


Human Performance Modelling In Manufacturing: Mental Workload And Task Complexity, Maria Chiara Leva, Lorenzo Comberti, Micaela Demichela, Rebecca Duane Jan 2017

Human Performance Modelling In Manufacturing: Mental Workload And Task Complexity, Maria Chiara Leva, Lorenzo Comberti, Micaela Demichela, Rebecca Duane

H-Workload 2017: Models and Applications (Works in Progress)

No abstract provided.


Distress And Worry As Mediators In The Relationship Between Psychosocial Risks And Upper Body Musculosketal Complaints In Highly Automated Manufacturing, Fiona Wixted, Leonard O'Sullivan Jan 2017

Distress And Worry As Mediators In The Relationship Between Psychosocial Risks And Upper Body Musculosketal Complaints In Highly Automated Manufacturing, Fiona Wixted, Leonard O'Sullivan

H-Workload 2017: Models and Applications (Works in Progress)

As a result of an upward trend in automation, the requirement for supervisory monitoring and consequently, cognitive demand has increased in automated manufacturing. The incidence of musculoskeletal disorders has also increased in the manufacturing sector. A model was developed based on survey data to test if distress and worry mediate the relationship between psychosocial factors (job control, cognitive demand, social isolation and skill discretion), stress states and upper body musculoskeletal complaints in highly automated manufacturing companies (n=235). Cognitive demand was shown to be related to higher distress in employees. The data raise the question about the link between job control …


Moving Between Automated And Manual Driving: Mental Workload And Performance Implications, Totsapon Butmee, Terry C. Lansdown Jan 2017

Moving Between Automated And Manual Driving: Mental Workload And Performance Implications, Totsapon Butmee, Terry C. Lansdown

H-Workload 2017: Models and Applications (Works in Progress)

Automated driving has been predicted to take-over from manual vehicle control in the near future. The driver’s role may then change from active operator to passive observer. Such technology offers the tantalising promise of improving driving safety. However, many studies have presented findings suggesting potentially adverse effects from automated driving systems, e.g., reduced situation awareness. Mental workload is also a key issue of concern for researchers in this area. Excessive mental workload has repeatedly been shown to be associated with degraded driving performance. Previously, most traffic psychology studies on mental workload have focused the manual driving task. However, a shift …


Managing Operator Mental Workload With Standards Based Decision Support, Maurice Wilkins Jan 2017

Managing Operator Mental Workload With Standards Based Decision Support, Maurice Wilkins

H-Workload 2017: Models and Applications (Works in Progress)

H-Workload 2017: The first international symposium on human mental workload, Dublin Institute of Technology, Dublin, Ireland, June 28-30.