Improving Clinic Operational Efficiency and Utilization with RTLS
AbstractNew sources of operational data are leading to novel healthcare delivery system design and opportunities to support operational planning and decision-making. Technologies such as real time locating systems (RTLS) provide a unique view and understanding of how healthcare delivery settings behave and respond to operational design changes. In this paper RTLS data from an outpatient clinical setting is leveraged to identify the appropriate number of scheduled providers in order to improve the utilization of the clinical space while balancing the negative effects of clinic congestion. The approaches presented pair histo...
Source: Journal of Medical Systems - January 30, 2019 Category: Information Technology Source Type: research

Performance Evaluation of Jaipur Knee Joint through Kinematics and Kinetics Gait Symmetry with Unilateral Transfemoral Indian Amputees
This study used kinematics and kinetics parameters together to quantify the performance of Jaipur knee joint to evaluate gait symmetry. This research will be helpful for clinician to predict and further to prevent the degenerated musculoskeletal effects generally seen in unilateral transfemoral amputees. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - January 29, 2019 Category: Information Technology Source Type: research

An Effective Detection Mechanism for Localizing Macular Region and Grading Maculopathy
AbstractThe eye disease is prominent in many nations including India and is said to affect up to 80% patients having diabetes. Diabetic Retinopathy is the medical term for denoting the damages to retina caused due to diabetes mellitus. Implying K means Clustering algorithm for coarse segmentation, hard distils are identified with better accuracy than the classical approaches. The variance based methods for segmenting hard distils are reviewed in the surveys and had to be improved. To remove the background features from the picture and conserve computational costs, a mathematical morphological method is used to reconstruct ...
Source: Journal of Medical Systems - January 28, 2019 Category: Information Technology Source Type: research

Surgical Block Scheduling Controlled by a Machine: Reality or Science Fiction?
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - January 28, 2019 Category: Information Technology Source Type: research

Cluster Analysis of Obesity Disease Based on Comorbidities Extracted from Clinical Notes
AbstractClinical notes provide a comprehensive and overall impression of the patient ’s health. However, the automatic extraction of information within these notes is challenging due to their narrative style. In this context, our goal was to identify clusters of patients based on fourteen comorbidities related to obesity, automatically extracted with the cTAKES tool from the i2b2 Obesity Challenge data. Furthermore, results were compared with clusters obtained from experts’ annotated data. The sparse K-means algorithms were used in both experiment at two levels: at the first level, three clusters were found, an...
Source: Journal of Medical Systems - January 28, 2019 Category: Information Technology Source Type: research

A Conceptual Framework and Pilot Study for Examining Telemedicine Satisfaction Research
AbstractStakeholder satisfaction is often considered a key to the success of telemedicine systems. However, it can be difficult to understand and compare satisfaction evaluations because of variations in reporting and study designs. This research will contribute to the knowledge by developing a conceptual framework around key concepts that relate to understanding studies on telemedicine satisfaction. The framework is built based on a developmental review of the telemedicine and telehealth literature obtained from searches of PubMed and Google Scholar. Using a conceptual matrix, researchers have synthesized the results into...
Source: Journal of Medical Systems - January 25, 2019 Category: Information Technology Source Type: research

A Survey of Healthcare Monitoring Systems for Chronically Ill Patients and Elderly
AbstractThe demand of healthcare systems for chronically ill patients and elderly has increased in the last few years. This demand is derived by the necessity to allow patients and elderly to be independent in their homes without the help of their relatives or caregivers. The prosperity of the information technology plays an essential role in healthcare by providing continuous monitoring and alerting mechanisms. In this paper, we survey the most recent applications in healthcare monitoring. We organize the applications into categories and present their common architecture. Moreover, we explain the standards used and challe...
Source: Journal of Medical Systems - January 24, 2019 Category: Information Technology Source Type: research

Ontological Review of Persuasion Support Systems (PSS) for Health Behavior Change through Physical Activity
AbstractPersuasion Support Systems (PSS) for health behavior change can play an important role in promoting health and well-being through physical activity. It is an emerging application at the crossroad between information systems, persuasion, and healthcare. We propose an ontology to systematically and systemically describe the construct of PSS for health behavior change. The ontology deconstructs the construct into its constituent dimensions and elements, and assembles them into a complete, parsimonious description of the same. We then map the corpus of literature on PSS for health behavior change through physical activ...
Source: Journal of Medical Systems - January 23, 2019 Category: Information Technology Source Type: research

Virtual Rehabilitation Training System Based on Surface EMG Feature Extraction and Analysis
AbstractAiming at the characteristics that electromyography (EMG) signals can reflect the human body ’s motive intention and the information of muscle’s motive state, this paper makes a thorough study on the evaluation of surface electromyography signals’ motive state. At the same time, EMG signals can reflect the characteristics of limb movement and its changing rules, and can acquire the fu nctional characteristics of limb movement so as to accurately evaluate the rehabilitation status of patients. In this paper, EMG signal analysis and feedback control are introduced into the virtual rehabilitation sys...
Source: Journal of Medical Systems - January 21, 2019 Category: Information Technology Source Type: research

Psychophysiological Monitorization in a Special Operation Selection Course
AbstractThe present research aimed: i. to analyse the psychophysiological response of soldiers undertaking a special operation selection course; ii. to study the relationship between fat and muscle loss and the psychophysiological response of soldiers undertaking a special operation selection course. We analysed 46 professional soldiers from a special operations unit (25.1  ± 5.0 years, 1.8 ± 0.1 cm, 76.8 ± 7.9 kg, 24.4 ± 2.5 kg/m2) undertaking the last phase of their 10  weeks special operation selection course. Be...
Source: Journal of Medical Systems - January 19, 2019 Category: Information Technology Source Type: research

Optimization of Diagnosis and Treatment of Chronic Diseases Based on Association Analysis Under the Background of Regional Integration
AbstractIn order to improve medical quality, shorten hospital stays, and reduce redundant treatment, an optimization of diagnosis and treatment of chronic diseases based on association analysis under the background of regional integration in the paper was proposed, which was to expand the scope of application of the clinical pathway standard diagnosis and treatment program in the context of regional medical integration and mass medical data, so that it had a larger group of patients within the region. In the context of regional medical integration, owing to the types of medical data were diverse, the preprocessing requirem...
Source: Journal of Medical Systems - January 19, 2019 Category: Information Technology Source Type: research

A New Algorithm to Reduce and Individualize HRV Recording Time
AbstractThe aim of the present work was to propose a Smartphone algorithm to analyze, in real time, the evolution of Heart Rate Variability (HRV) in order to individualize and reduce the recording time according to the specificities of each user. During HRV recording, a new RMSSD value is calculated each time a new RR is captured. The recording process stops once an acceptable stability of HRV is reached. This new method was tested on 3 groups of 15 subjects (cardiac patients, sedentary employees and national-level athletes) and compared with the gold standard method (5  min HRV recording time). The RMSSD indices prov...
Source: Journal of Medical Systems - January 19, 2019 Category: Information Technology Source Type: research

Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study
AbstractOperating room (OR) utilization is a significant determinant of hospital profitability. One aspect of this is surgical scheduling, which depends on accurate predictions of case duration. This has been done historically by either the surgeon based on personal experience, or by an electronic health record (EHR) based on averaged historical means for case duration. Here, we compare the predicted case duration (pCD) accuracy of a novel machine-learning algorithm over a 3-month period. A proprietary machine learning algorithm was applied utilizing operating room factors such as patient demographic data, pre-surgical mil...
Source: Journal of Medical Systems - January 17, 2019 Category: Information Technology Source Type: research

Clinical Study of Diffusion-Weighted Imaging in the Diagnosis of Liver Focal Lesion
AbstractApparent diffusion coefficient (ADC), derived from diffusion-weighted magnetic resonance images (DW-MRI), measures the motion of water molecules in vivo and can be used to quantify tumor response so as to determine the best therapy approach. In this paper, our goal was to determine whether the DW-MRI can be used for qualitative and quantitative liver cancer analysis, where an automated method will be proposed for improving the accuracy of liver segmentation in DW-MRI to increase the ability of diagnosis of disease. We firstly analyzed the research status of liver cancer diagnosis, especially on the issues of liver ...
Source: Journal of Medical Systems - January 16, 2019 Category: Information Technology Source Type: research

Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review
This study aims to establish IoT-based smart home security solutions for real-time health monitoring technologies in telemedicine architecture. A multilayer taxonomy is driven and conducted in this study. In the first layer, a comprehensive analysis on telemedicine, which focuses on the client and server sides, shows that other studies associated with IoT-based smart home applications have several limitations that remain unaddressed. Particularly, remote patient monitoring in healthcare applications presents various facilities and benefits by adopting IoT-based smart home technologies without compromising the security requ...
Source: Journal of Medical Systems - January 15, 2019 Category: Information Technology Source Type: research

The Impact of Perioperative Data Science in Hospital Knowledge Management
This study showed perioperative decision-making improvement by integrating data science tools on the perioperative electronic system (PES). Before the PES implementation only 1,2% of the nurses registered the preopera tive visit and after 87,6% registered it. Regarding the patient features it was possible to assess anxiety and pain levels. A future conceptual model for perioperative decision support systems grounded on data science should be considered as a knowledge management tool. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - January 12, 2019 Category: Information Technology Source Type: research

A Tri- State Filter for the Removal of Salt and Pepper Noise in Mammogram Images
AbstractA new algorithm which uses tree based decision and tri-state non linear values to eliminate high density outlier noise in mammogram images is proposed. The proposed algorithm uses the number of non noisy pixels in the current processing vicinity as values in the decision tree. Tri-state values such as unsymmetrical truncated median or modified Winsorized mean or midpoint replaces the corrupted pixel based on the decision tree in the current processing kernel. The algorithm exhibits good PSNR, IEF, low MSE and High structural preservation property even after removing high density noise. The performance of the propos...
Source: Journal of Medical Systems - January 11, 2019 Category: Information Technology Source Type: research

Distribution-Sensitive Unbalanced Data Oversampling Method for Medical Diagnosis
AbstractAiming at the problem of low accuracy of classification learning algorithm caused by serious imbalance of sample set in medical diagnostic application, this paper proposes a distribution-sensitive oversampling algorithm for imbalanced data. The algorithm accurately divides the minority samples into noise samples, unstable samples, boundary samples and stable samples according to the location of the minority samples. Different samples are processed differently to select the most suitable sample for the synthesis of new samples. In the case of sample synthesis, a distribution-sensitive sample synthesis method is adop...
Source: Journal of Medical Systems - January 10, 2019 Category: Information Technology Source Type: research

A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection
AbstractAdvances in the medical industry has become a major trend because of the new developments in information technologies. This research offers a novel approach for estimating the smart medical devices (SMDs) selection process in a group decision making (GDM) in a vague decision environment. The complexity of the selected decision criteria for the smart medical devices is a significant feature of this analysis. To simulate these processes, a methodology that combines neutrosophics using bipolar numbers with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) under GDM is suggested. Neutrosophics wit...
Source: Journal of Medical Systems - January 10, 2019 Category: Information Technology Source Type: research

Brain Storm Optimization Graph Theory (BSOGT) and Energy Resource Aware Virtual Network Mapping (ERVNM) for Medical Image System in Cloud
AbstractWith the development of Internet and the make use of Internet for medical information, the demand for huge scale and reliable managing medical information has brought out the huge scale Internet data centers. This work that has been presented here highlights the structural lay out and formulation of the medical information model. The aim of presenting this to aid medical departments as well as workers to exchange information and integrate available resources that help facilitate the analysis to be conducted on the given information. Software here comprises of medical information and offers a comprehensive service s...
Source: Journal of Medical Systems - January 8, 2019 Category: Information Technology Source Type: research

An Intelligent Sleep Apnea Classification System Based on EEG Signals
AbstractSleep Apnea is a sleep disorder which causes stop in breathing for a short duration of time that happens to human beings and animals during sleep. Electroencephalogram (EEG) plays a vital role in detecting the sleep apnea by sensing and recording the brain ’s activities. The EEG signal dataset is subjected to filtering by using Infinite Impulse Response Butterworth Band Pass Filter and Hilbert Huang Transform. After pre-processing, the filtered EEG signal is manipulated for sub-band separation and it is fissioned into five frequency bands such as Ga mma, Beta, Alpha, Theta, and Delta. This work employs featur...
Source: Journal of Medical Systems - January 8, 2019 Category: Information Technology Source Type: research

Maturity Assessment Methodology for HISMM - Hospital Information System Maturity Model
This article presents a research project that aimed to develop a new comprehensive model of maturity for a health area. HISMM (hospital information system maturity model) was developed to address the complexity of HIS and intends to offer a useful tool to meet the demands of its management. The HISMM has the peculiarity of combining a set of key maturity influence factors and their respective characteristics, enabling not only the assessment of the global maturity of an HIS but also of the individual maturities of its various dimensions. In this article, we present a methodology for the application and implementation of th...
Source: Journal of Medical Systems - January 7, 2019 Category: Information Technology Source Type: research

Sensor-Based mHealth Authentication for Real-Time Remote Healthcare Monitoring System: A Multilayer Systematic Review
This study aims to improve sensor-based defence and attack mechanisms to ensure patient privacy in client side when using mHealth. Thus, a multilayer taxonomy was conducted to attain the goal of this study. Within the first layer, real-time remote monitoring studies based on sensor technology for telemedicine application were reviewed and analysed to examine these technologies and provide researchers with a clear vision of security- and privacy-based sensors in the telemedicine area. An extensive search was conducted to find articles about security and privacy issues, review related applications comprehensively and establi...
Source: Journal of Medical Systems - January 6, 2019 Category: Information Technology Source Type: research

Non-Linear Filtering Technique Used for Testing the Human Lumbar Spine FEA Model
AbstractIn this paper, the objective is to generate a mesh model of a spine that simulates numerically the biomedical properties of two vertebrae (L4 and L5) of human spine and an inter vertebrae disc using Finite Element Analysis (FEA) technique. Here, different types of non-linear filters and different edge detection techniques are used to segment the edges and the results are compared. The result shows that median filter obtains improved segmented output results in terms of edge length density, average magnitude, final threshold, initial position, and fine-tuned image. The behaviour of spine FEA model is analysed in ter...
Source: Journal of Medical Systems - January 6, 2019 Category: Information Technology Source Type: research

A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery
In this study, we sought to use machine learning to develop an accurate predictive model for RAS case duration. We analyzed a random sample of robotic cases at our institution from January 2014 to June 2017. We compared the machine learning models to the baseline model, which is the scheduled case duration (determined by previous case duration averages and surgeon adjustments). Specifically, we used: 1) multivariable linear regression, 2) ridge regression, 3) lasso regression, 4) random forest, 5) boosted regression tree, and 6) neural network. We found that all machine learning models decreased the average root-mean-squar...
Source: Journal of Medical Systems - January 5, 2019 Category: Information Technology Source Type: research

An Optimized S-Box Circuit for High Speed AES Design with Enhanced PPRM Architecture to Secure Mammographic Images
AbstractIn AES, the total time taken by the architecture while implementing in low power and high-speed circuit is the most important thing that to be considered. Also in AES, implementing S-Boxes consumes the major part of the total time consumed by the entire architecture. In this research paper, we propose a very low-power and high efficient S-Box circuit architecture: a multi-stage modified version of PPRM architecture over composite fields. In this modified S box design, only AND and Hazard transparent XOR gates are used. Because of this architecture dynamic hazards which form the main aspect of power consumption in S...
Source: Journal of Medical Systems - January 5, 2019 Category: Information Technology Source Type: research

Improving Communication of Actionable Findings in Radiology Imaging Studies and Procedures Using an EMR-Independent System
AbstractThe primary purpose of this study is to determine if the implementation of an actionable findings communication system (PeerVue) with explicitly defined criteria for the classification of critical results, leads to an increase in the number of actionable findings reported by radiologists. Secondary goals are to 1) analyze the adoption rate of PeerVue and 2) assess the accuracy of the classification of actionable findings within this system. Over a two-year period, 890,204 radiology reports were analyzed retrospectively in order to identify the number of actionable findings communicated before (Year 1) and after the...
Source: Journal of Medical Systems - January 5, 2019 Category: Information Technology Source Type: research

An Enhancement of Computer Aided Approach for Colon Cancer Detection in WCE Images Using ROI Based Color Histogram and SVM2
AbstractThe colon cancer is formed by uncontrollable growth of abnormal cells in large intestine or colon that can affect both men and women and it is third cancer disease in the world. At present, Wireless Capsule Endoscopy (WCE) screening method is utilized to identify colon cancer tumor at early stage to save the patient life who affected by the colon cancer. In this CTC method, the radiologist needs to analyze the colon polyps in digital image using computer aided approach with accurate automatic tumor classification to detect the cancer tumor at early stage. This kind of computer aided approach can operate as an inter...
Source: Journal of Medical Systems - January 5, 2019 Category: Information Technology Source Type: research

An Analysis of Re-configured Blood Transfusion Network of Urban India to Improve the Service Level: a Simulation Approach
AbstractIn India, blood banks are owned by state hospitals, private hospitals, NGOs and private laboratories. The aim of this study is to improve the service levels of the blood supply chain by maximizing the availability and minimizing the wastage of blood. New configuration approaches are adapted from the successful methods of manufacturing sectors. In this retrospective cross-sectional study, whole blood (WB) demand and supply data between April 2015 to March 2016 has been taken. Data analytics tool “R” is used for statistical analysis. Two new configurations, namely a) Zonal Network and b) Pull system model...
Source: Journal of Medical Systems - January 3, 2019 Category: Information Technology Source Type: research

How to do a Virtual Breakthrough Series Collaborative
AbstractDespite widespread use of the breakthrough series (BTS) collaborative in healthcare, there is limited literature on how to operationalize the method in healthcare settings. A recent modification to the model is the virtual breakthrough series (VBTS), in which all work is done remotely via telephone and web-based platforms. With virtual methods gaining popularity, this manuscript presents guidance on methods to conduct a virtual breakthrough series collaborative to assist clinical teams in implementing evidence-based practices. Manuscript describes planning activities and implementation steps for individuals interes...
Source: Journal of Medical Systems - January 3, 2019 Category: Information Technology Source Type: research

Medical Data Management on Blockchain with Privacy
AbstractMedical data are important in diagnosis, treatment, recovery, and medical accident investigation. The integrity and availability of medical data are the basic guarantee for the smooth operation of these activities. The privacy of medical data is a natural demand from the sensitivity of medical data. At present, there are mainly two ways to protect the privacy of medical data. One way is to store medical data in a local database and set up an access control strategy of the database. The other way is to encrypt medical data with the patient ’s key and to share the key when needed. The problem with the first met...
Source: Journal of Medical Systems - January 3, 2019 Category: Information Technology Source Type: research

Continuous Blood Pressure Monitoring as a Basis for Ambient Assisted Living (AAL) – Review of Methodologies and Devices
AbstractBlood pressure (BP) is a bio-physiological signal that can provide very useful information regarding human ’s general health. High or low blood pressure or its rapid fluctuations can be associated to various diseases or conditions. Nowadays, high blood pressure is considered to be an important health risk factor and major cause of various health problems worldwide. High blood pressure may precede serio us heart diseases, stroke and kidney failure. Accurate blood pressure measurement and monitoring plays fundamental role in diagnosis, prevention and treatment of these diseases. Blood pressure is usually measur...
Source: Journal of Medical Systems - January 2, 2019 Category: Information Technology Source Type: research

Efficient Segmentation of Brain Tumor Using FL-SNM with a Metaheuristic Approach to Optimization
AbstractNowadays, automatic tumor detection from brain images is extremely significant for many diagnostic as well as therapeutic purposes, due to the unpredictable shape and appearance of tumors. In medical image analysis, the automatic segmentation of tumors from brain using magnetic resonance imaging (MRI) data is the most critical issue. Existing research has some limitations, such as high processing time and lower accuracy, because of the time required for the training process. In this research, a new automatic segmentation process is introduced using machine learning and a swarm intelligence scheme. Here, a fuzzy log...
Source: Journal of Medical Systems - January 2, 2019 Category: Information Technology Source Type: research

Infrared Thermal Imaging for Diabetes Detection and Measurement
AbstractThe diabetes mellititus (type 1) condition occur when the beta cell destroy partially due to autoimmune process. The beta cells produce insulin with respect to blood glucose level. The insulin hormone regulates blood glucose in body. The blood glucose increases in body when insulin secretion is low from pancreas, termed as Diabetes mellititus. The Diabetes mellititus causes infection, pain in mouth. The regions in mouth affected by diabetes mellititius include gums, teeth, jaw and tongue. The glucose level increases in saliva which grows harmful bacteria. The bacteria in combination with plaque cause bad breath, gu...
Source: Journal of Medical Systems - January 2, 2019 Category: Information Technology Source Type: research

Study on Brain Electromyography Rehabilitation System Based on Data Fusion and Virtual Rehabilitation Simulation
AbstractIn this paper, a virtual rehabilitation training system based on electroencephalogram (EMG) feedback is proposed to solve the problem that the existing virtual rehabilitation training methods can not reflect the initiative of patients and lack of individual adaptability. Aiming at the EEG data fusion rehabilitation system based on Virtual Prototyping technology, a motion pattern recognition method based on the feature fusion of EEG and EMG signals is studied to improve the accuracy and flexibility of the rehabilitation training system. The corresponding virtual rehabilitation training scene is designed, and the con...
Source: Journal of Medical Systems - January 2, 2019 Category: Information Technology Source Type: research

An IoT Based Predictive Modelling for Predicting Lung Cancer Using Fuzzy Cluster Based Segmentation and Classification
AbstractIn this paper, we propose a new Internet of Things (IoT) based predictive modelling by using fuzzy cluster based augmentation and classification for predicting the lung cancer disease through continuous monitoring and also to improve the healthcare by providing medical instructions. Here, the fuzzy clustering method is used and which is based on transition region extraction for effective image segmentation. Moreover, Fuzzy C-Means Clustering algorithm is used to categorize the transitional region features from the feature of lung cancer image. In this work, Otsu thresholding method is used for extracting the transi...
Source: Journal of Medical Systems - December 18, 2018 Category: Information Technology Source Type: research

The Relative Contribution of High-Gamma Linguistic Processing Stages of Word Production, and Motor Imagery of Articulation in Class Separability of Covert Speech Tasks in EEG Data
AbstractWord production begins with high-Gamma automatic linguistic processing functions followed by speech motor planning and articulation. Phonetic properties are processed in both linguistic and motor stages of word production. Four phonetically dissimilar phonemic structures “BA”, “FO”, “LE”, and “RY” were chosen as covert speech tasks. Ten neurologically healthy volunteers with the age range of 21–33 participated in this experiment. Participants were asked to covertly speak a phonemic structure when they heard an auditory cue. EEG was recorded with 64 electrodes at...
Source: Journal of Medical Systems - December 18, 2018 Category: Information Technology Source Type: research

Analysis and Improvement of a Mutual Authentication Scheme for Wireless Body Area Networks
AbstractAn increase in aging population and the consequent chronic diseases pose not only serious effects to the economy but also a heavy burden to the medical system. Wireless body area networks (WBANs) provide a simple and low-cost strategy for health monitoring and telemedicine of the elderly. Many authentication schemes based on WBAN have been presented to address the sensitivity and privacy of collected data and the open characteristic of wireless networks. Wu et al. recently presented an efficient anonymous authentication scheme for WBANs, in which a one-side bilinear pairing methodology was applied to reduce the bur...
Source: Journal of Medical Systems - December 18, 2018 Category: Information Technology Source Type: research

Prediction of Hemodialysis Timing Based on LVW Feature Selection and Ensemble Learning
AbstractWe propose an improved model based on LVW embedded model feature extractor and ensemble learning for improving prediction accuracy of hemodialysis timing in this paper. Due to this drawback caused by feature extraction models, we adopt an enhanced LVW embedded model to search the feature subset by stochastic strategy, which can find the best feature combination that are most beneficial to learner performance. In the model application, we present an improved integrated learners for model fusion to reduce errors caused by overfitting problem of the single classifier. We run several state-of-the-art Q&A methods as...
Source: Journal of Medical Systems - December 13, 2018 Category: Information Technology Source Type: research

A Systematic Mapping Study of Data Preparation in Heart Disease Knowledge Discovery
The objective of this paper is to perform a systematic mapping study (SMS) on data preparation for KDD in cardiology so as to provide an overview of the quantity and type of research carried out in this respect. The SMS consisted of a set of 58 selected papers published in the period January 2000 and December 2017. The selected studies were analyzed according to six criteria: year and channel of publication, preparation task, medical task, DM objective, research type and empirical type. The results show that a high amount of data preparation research was carried out in order to improve the performance of DM-based decision ...
Source: Journal of Medical Systems - December 13, 2018 Category: Information Technology Source Type: research

Intelligent Wearable Occupational Health Safety Assurance System of Power Operation
AbstractTo improve the capacity of emergency control over on-site operation risk and effectively guarantee safety of operators in a complicated environment, a wearable safety assurance system framework for power operation is proposed. The framework centres on a wearable information processing gateway for single man and provides standardized access for vital signs monitoring, human-machine interaction and other equipment in a form of wireless ad hoc network. Using wearable vital signs monitoring equipment, the physiological parameters such as heart rate, body temperature and blood pressure can be monitored in real time. By ...
Source: Journal of Medical Systems - December 12, 2018 Category: Information Technology Source Type: research

Mobile Workflow in Computed Tomography of the Chest
AbstractA CT system with a tablet as mobile user interface and a wireless remote control for positioning and radiation release has recently been presented. Our aim was to evaluate the effects of a mobile CT examination workflow on the radiographers ’ performance compared to conventional examinations. A prototype of a radiation protection cabin was installed besides the gantry of a CT system. The CT system was equipped with a simplified user interface on a portable tablet and a mobile remote control. 98 patients with an indication for CT of t he chest were randomly assigned to examination using the mobile devices (stu...
Source: Journal of Medical Systems - December 10, 2018 Category: Information Technology Source Type: research

Correction to: An Extended Hackathon Model for Collaborative Education in Medical Innovation
We append two additional funders to our acknowledgments. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - December 10, 2018 Category: Information Technology Source Type: research

A new approach to classify and rank events based videos based on Event of Detection
AbstractIn the ongoing days, the development of sight and sound substance and information stockpiling produces colossally. Clients can extricate any kind of data they require from recordings. This outcomes in quick development of video information, client ’s discover complexity while procurement their important data. To address this, EBR (Event Based Ranking) propose another way to deal with group and rank mixed media occasions based recordings as per client’s advantage. Clients are generally keen on the best positioned and occasion pertinent rec ordings of returned query output. An occasion based positioning m...
Source: Journal of Medical Systems - December 7, 2018 Category: Information Technology Source Type: research

LS-GSNO and CWSNO Enhancement Processes Using PCA Algorithm with LOOCV of R-SM Technique for Effective Face Recognition Approach
AbstractThe eminence of image under test is identified with different methods of Face Recognition (FR) which results in failure due to rapid change in pixel intensity. The identification of similar face with inter class similarity is very difficult in imaging. The imaging technology faces difficult in the mounting of intra class variability because of accommodate, intra-class variability because of head pose, illumination conditions, expressions, facial accessories, aging effects and cartoon faces. In the earliest approach, gradient with Zernike momemts were used to regonize the faces, the performance is low to overcome th...
Source: Journal of Medical Systems - December 7, 2018 Category: Information Technology Source Type: research

IoT-Based Services and Applications for Mental Health in the Literature
AbstractInternet of Things (IoT) has emerged as a new paradigm today, connecting a variety of physical and virtual elements integrated with electronic components, sensors, actuators and software to collect and exchange data. IoT is gaining increasing attention as a priority research topic in the Health sector in general and in specific areas such as Mental Health. The main objective of this paper is to show a review of the existing research works in the literature, referring to the main IoT services and applications in Mental Health diseases. The scientific databases used to carry out the review are Google Scholar, IEEE Xp...
Source: Journal of Medical Systems - December 6, 2018 Category: Information Technology Source Type: research

A Robust and Efficient ECC-based Mutual Authentication and Session Key Generation Scheme for Healthcare Applications
AbstractTelecare medicine information system (TMIS) has provided an efficient and convenient way for communications of patients at home and medical staffs at clinical centers. To make these communications secure, user authentication by medical servers is considered as a crucial requirement. For this purpose, many user authentication and key agreement protocols have been put forwrad in order to fulfil this vital necessity. Recently, Arshad and Rasoolzadegan have revealed that not only the authentication and key agreement protocols suggested by Amin and Biswas and Giriet al. are defenseless against the replay attack and do n...
Source: Journal of Medical Systems - December 1, 2018 Category: Information Technology Source Type: research

Extracting Interesting Rules from Gestation Course Data for Early Diagnosis of Neonatal Hypoxia
This study is focused on finding risk factors related to the chronic fetal hypoxia and defining a group of signs for diagnosing neonatal hypoxia. The real data of 186 pregnant women at the gestation age from 12 to 38  weeks were analyzed. A methodology for discovering interesting associations in gestation course data is proposed. Technique for association rules mining and rules selection by the neonatal hypoxia under study is discussed. The rules suggest that a strong relationship exists between the specific se ts of attributes and the diagnosis. As a result, we set up a profile of the pregnant woman with a high likel...
Source: Journal of Medical Systems - December 1, 2018 Category: Information Technology Source Type: research

Hybrid Filtering Approach for Retrieval of MRI Image
AbstractThe quality of Magnetic Resonance Images(MRI) are degraded by the various types of noises. In this paper, a Hybrid Multi-resolution filter for denoising the MRI images degraded by the Salt and Pepper noise is proposed and the wavelet transform is used to improve the resolution of the denoised image.. The Hybrid filter consist of three value weighted filter and similarity based filter. In three value weighted filter, a variable local window is applied to find the noisy pixels. By using the noise free pixels in that window, the noisy pixels are reconstructed using three value method. In similarity based filter, a var...
Source: Journal of Medical Systems - December 1, 2018 Category: Information Technology Source Type: research

Healthcare Data Breaches: Implications for Digital Forensic Readiness
AbstractWhile the healthcare industry is undergoing disruptive digital transformation, data breaches involving health information are not usually the result of integration of new technologies. Based on published industry reports, fundamental security safeguards are still considered to be lacking with many documented data breaches occurring as the result of device and equipment theft, human error, hacking, ransomware attacks and misuse. Health information is considered to be one of the most attractive targets for cybercriminals due to its inherent sensitivity, but digital investigations of incidents involving health informa...
Source: Journal of Medical Systems - November 28, 2018 Category: Information Technology Source Type: research