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user interface

Yu Rang Park, Young Jo Yoon, HaYeong Koo, Soyoung Yoo, Chang-Min Choi, Sung-Ho Beck, Tae Won Kim
BACKGROUND: Clinical trials pose potential risks in both communications and management due to the various stakeholders involved when performing clinical trials. The academic medical center has a responsibility and obligation to conduct and manage clinical trials while maintaining a sufficiently high level of quality, therefore it is necessary to build an information technology system to support standardized clinical trial processes and comply with relevant regulations. OBJECTIVE: The objective of the study was to address the challenges identified while performing clinical trials at an academic medical center, Asan Medical Center (AMC) in Korea, by developing and utilizing a clinical trial management system (CTMS) that complies with standardized processes from multiple departments or units, controlled vocabularies, security, and privacy regulations...
April 24, 2018: Journal of Medical Internet Research
Fong-Ci Lin, Chen-Yu Wang, Rung Ji Shang, Fei-Yuan Hsiao, Mei-Shu Lin, Kuan-Yu Hung, Jui Wang, Zhen-Fang Lin, Feipei Lai, Li-Jiuan Shen, Chih-Fen Huang
BACKGROUND: Traditional clinical surveillance relied on the results from clinical trials and observational studies of administrative databases. However, these studies not only required many valuable resources but also faced a very long time lag. OBJECTIVE: This study aimed to illustrate a practical application of the National Taiwan University Hospital Clinical Surveillance System (NCSS) in the identification of patients with an osteoporotic fracture and to provide a high reusability infrastructure for longitudinal clinical data...
April 24, 2018: Journal of Medical Internet Research
Sebastian Jaenicke, Stefan P Albaum, Patrick Blumenkamp, Burkhard Linke, Jens Stoye, Alexander Goesmann
BACKGROUND: The characterization of microbial communities based on sequencing and analysis of their genetic information has become a popular approach also referred to as metagenomics; in particular, the recent advances in sequencing technologies have enabled researchers to study even the most complex communities. Metagenome analysis, the assignment of sequences to taxonomic and functional entities, however, remains a tedious task: large amounts of data need to be processed. There are a number of approaches addressing particular aspects, but scientific questions are often too specific to be answered by a general-purpose method...
April 24, 2018: Microbiome
S Y Lee, Y Kwon
OBJECTIVES: To examine how Twitter is used as a place where people seek others to make suicide pacts. STUDY DESIGN: This is an exploratory quantitative study. METHODS: We used Twitter application programming interfaces to collect all Korean tweets containing the term 'suicide pact' between October 16, 2017 and November 30, 2017. A Python program and human coders were employed to further identify tweets that aimed to seek others to make a suicide pact and analyze the content of each tweet...
April 21, 2018: Public Health
Julius Gelšvartas, Rimvydas Simutis, Rytis Maskeliūnas
Difficulty in communicating is one of the key challenges for people suffering from severe motor and speech disabilities. Often such person can communicate and interact with the environment only using assistive technologies. This paper presents a multifunctional user interface designed to improve communication efficiency and person independence. The main component of this interface is a projection mapping technique used to highlight objects in the environment. Projection mapping makes it possible to create a natural augmented reality information presentation method...
2018: Journal of Healthcare Engineering
Minpeng Xu, Xiaolin Xiao, Yijun Wang, Hongzhi Qi, Tzyy-Ping Jung, Dong Ming
GOAL: Traditional visual brain-computer interfaces (BCIs) preferred to use large-size stimuli to attract the user's attention and elicit distinct electroencephalography (EEG) features. However, the visual stimuli are of no interest to the users as they just serve as the hidden codes behind the characters. Furthermore, using stronger visual stimuli could cause visual fatigue and other adverse symptoms to users. Therefore, it's imperative for visual BCIs to use small and inconspicuous visual stimuli to code characters...
May 2018: IEEE Transactions on Bio-medical Engineering
Lev I Levitsky, Mark V Ivanov, Anna A Lobas, Julia A Bubis, Irina A Tarasova, Elizaveta M Solovyeva, Marina L Pridatchenko, Mikhail V Gorshkov
We present an open-source, extensible search engine for shotgun proteomics. Implemented in Python programming language, IdentiPy shows competitive processing speed and sensitivity compared with the state-of-the-art search engines. It is equipped with a user-friendly web interface, IdentiPy Server, enabling the use of a single server installation accessed from multiple workstations. Using a simplified version of X!Tandem scoring algorithm and its novel ``auto-tune'' feature, IdentiPy outperforms the popular alternatives on high-resolution data sets...
April 23, 2018: Journal of Proteome Research
Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi
A widely discussed paradigm for brain-computer interface (BCI) is the motor imagery task using noninvasive electroencephalography (EEG) modality. It often requires long training session for collecting a large amount of EEG data which makes user exhausted. One of the approaches to shorten this session is utilizing the instances from past users to train the learner for the novel user. In this work, direct transferring from past users is investigated and applied to multiclass motor imagery BCI. Then, active learning (AL) driven informative instance transfer learning has been attempted for multiclass BCI...
2018: Computational Intelligence and Neuroscience
Jianjun Meng, Bradley J Edelman, Jaron Olsoe, Gabriel Jacobs, Shuying Zhang, Angeliki Beyko, Bin He
Motor imagery-based brain-computer interface (BCI) using electroencephalography (EEG) has demonstrated promising applications by directly decoding users' movement related mental intention. The selection of control signals, e.g., the channel configuration and decoding algorithm, plays a vital role in the online performance and progressing of BCI control. While several offline analyses report the effect of these factors on BCI accuracy for a single session-performance increases asymptotically by increasing the number of channels, saturates, and then decreases-no online study, to the best of our knowledge, has yet been performed to compare for a single session or across training...
2018: Frontiers in Neuroscience
Amy L Lenz, Katie A Johnson, Tamara Reid Bush
Many amputees who wear a leg prosthesis develop significant skin wounds on their residual limb. The exact cause of these wounds is unclear as little work has studied the interface between the prosthetic device and user. Our research objective was to develop a quantitative method for assessing displacement patterns of the gel liner during walking for patients with transtibial amputation. Using a reflective marker system and a custom clear socket, evaluations were conducted with a clear transparent test socket mounted over a plaster limb model and a deformable limb model...
April 13, 2018: Journal of Biomechanics
Jean-Baptiste Lamy, Rosy Tsopra
VCM (Visualization of Concept in Medicine) is an iconic language that represents medical concepts, such as disorders, by icons. VCM has a formal semantics described by an ontology. The icons can be used in medical software for providing a visual summary or enriching texts. However, the use of VCM icons in user interfaces requires to map standard medical terminologies to VCM. Here, we present a method combining semantic and lexical approaches for mapping MedDRA to VCM. The method takes advantage of the hierarchical relations in MedDRA...
2018: Studies in Health Technology and Informatics
Matthias Ganzinger, Matthias Gietzelt, Christian Karmen, Blanca Flores, Petra Knaup
Systems medicine is a paradigm for translating in silico methods developed for modelling biological systems into the field of medicine. Such approaches rely on the integration of as many data sources as possible, both in the dimension of disease knowledge and patient data. This is a challenging task that can only be implemented in clinical routine with the help of suitable information technology from the field of Medical Informatics. For the research project "Clinically-applicable, omics-based assessment of survival, side effects, and targets in multiple myeloma" (CLIOMMICS) we developed a prototypical systems medicine application system...
2018: Studies in Health Technology and Informatics
Sisse H Laursen, Amanda A Buus, Lisbet Brandi, Peter Vestergaard, Ole K Hejlesen
Hyperphosphatemia is known as one of the more challenging conditions in end-stage renal disease patients. This study set out to present and evaluate a healthcare-oriented decision support tool in the management of hyperphosphatemia within hemodialysis therapy. A prototype module was designed to fit into the interface of a modern dialysis machine (Fresenius 5008). The prototype included three main functions: 1) immediate bedside blood sample access, 2) a model based prognosis tool with estimates of P-phosphate and 3) an overview of the user's phosphate related activities during dialysis treatments...
2018: Studies in Health Technology and Informatics
Mark R Stöhr, Raphael W Majeed, Andreas Günther
The German Center for Lung Research (DZL) is a research network with the aim of researching respiratory diseases. The participating study sites' register data differs in terms of software and coding system as well as data field coverage. To perform meaningful consortium-wide queries through one single interface, a uniform conceptual structure is required covering the DZL common data elements. No single existing terminology includes all our concepts. Potential candidates such as LOINC and SNOMED only cover specific subject areas or are not granular enough for our needs...
2018: Studies in Health Technology and Informatics
Jessica Schiro, Pierre-François Gauthier, François Dubos, Sylvia Pelayo, Romaric Marcilly
The study presents the evaluation of the reliability of the information displayed on the user interface of a homegrown electronic patient prioritization tool dedicated to pediatric emergency department (namely Optimum). Two ergonomists shadowed physicians and nurses throughout their shift in order to (i) identify consistencies and discrepancies between the actual step of the patients in the care process and their assigned step in Optimum and (ii) to understand the causes of the discrepancies. Even if some discrepancies are noted, results show that Optimum provides a quite good reflection of the actual position of the patients in the care process...
2018: Studies in Health Technology and Informatics
Zahra Emami, Tom Chau
OBJECTIVES: Brain-computer interfaces (BCIs) allow users to operate a device or application by means of cognitive activity. This technology will ultimately be used in real-world environments which include the presence of distractors. The purpose of the study was to determine the effect of visual distractors on BCI performance. METHODS: Sixteen able-bodied participants underwent neurofeedback training to achieve motor imagery-guided BCI control in an online paradigm using electroencephalography (EEG) to measure neural signals...
April 3, 2018: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
Do Hyeon Yoo, Jaekook Lee, Chul Hee Min
The aim of this study is to develop the Effective Dose Calculation Program (EDCP) for the usage of Naturally Occurring Radioactive Material (NORM) added consumer products. The EDCP was developed based on a database of effective dose conversion coefficient and the Matrix Laboratory (MATLAB) program to incorporate a Graphic User Interface (GUI) for ease of use. To validate EDCP, the effective dose calculated with EDCP by manually determining the source region by using the GUI and that by using the reference mathematical algorithm were compared for pillow, waist supporter, eye-patch and sleeping mattress...
April 9, 2018: Applied Radiation and Isotopes
Nick Bouras, George Ikkos, Thomas Craig
Since the 1960s, we have witnessed the development and growth of community mental health care that continues to dominate mental health policy and practice. Several high-income countries have implemented community mental health care programmes but for many others, including mostly low- and middle-income countries, it remains an aspiration. Although community mental health care has been positive for many service users, it has also had severe shortcomings. Expectations that it would lead to fuller social integration have not been fulfilled and many service users remain secluded in sheltered or custodial environments with limited social contacts and no prospect of work...
April 20, 2018: International Journal of Environmental Research and Public Health
Philipp Kellmeyer, Moritz Grosse-Wentrup, Andreas Schulze-Bonhage, Ulf Ziemann, Tonio Ball
For patients with amyotrophic lateral sclerosis (ALS) who are suffering from severe communication or motor problems, brain-computer interfaces (BCIs) can improve the quality of life and patient autonomy. However, current BCI systems are not as widely used as their potential and patient demand would let assume. This underutilization is a result of technological as well as user-based limitations but also of the comparatively poor performance of currently existing BCIs in patients with late-stage ALS, particularly in the locked-in state...
April 20, 2018: Journal of Neural Engineering
Sonja March, Jamin Day, Kirsty Zieschank, Michael Ireland
BACKGROUND: Early identification of child emotional and behavioral concerns is essential for the prevention of mental health problems; however, few suitable child-reported screening measures are available. Digital tools offer an exciting opportunity for obtaining clinical information from the child's perspective. OBJECTIVE: The aim of this study was to describe the initial development and pilot testing of the Interactive Child Distress Screener (ICDS). The ICDS is a Web-based screening instrument for the early identification of emotional and behavioral problems in children aged between 5 and 12 years...
April 19, 2018: JMIR MHealth and UHealth
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