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Journal of Medical Systems

Muhammad Umair Aslam, Abdelouahid Derhab, Kashif Saleem, Haider Abbas, Mehmet Orgun, Waseem Iqbal, Baber Aslam
E-Healthcare is an emerging field that provides mobility to its users. The protected health information of the users are stored at a remote server (Telecare Medical Information System) and can be accessed by the users at anytime. Many authentication protocols have been proposed to ensure the secure authenticated access to the Telecare Medical Information System. These protocols are designed to provide certain properties such as: anonymity, untraceability, unlinkability, privacy, confidentiality, availability and integrity...
January 2017: Journal of Medical Systems
Tiago Oliveira, António Silva, José Neves, Paulo Novais
The automatic interpretation of clinical recommendations is a difficult task, even more so when it involves the processing of complex temporal constraints. In order to address this issue, a web-based system is presented herein. Its underlying model provides a comprehensive representation of temporal constraints in Clinical Practice Guidelines. The expressiveness and range of the model are shown through a case study featuring a Clinical Practice Guideline for the diagnosis and management of colon cancer. The proposed model was sufficient to represent the temporal constraints in the guideline, especially those that defined periodic events and placed temporal constraints on the assessment of patient states...
January 2017: Journal of Medical Systems
Ehsan Nabovati, Hasan Vakili-Arki, Zhila Taherzadeh, Mohammad Reza Saberi, Stephanie Medlock, Ameen Abu-Hanna, Saeid Eslami
The purpose of this systematic review was to identify features and effects of information technology (IT)-based interventions on outcomes related to drug-drug interactions (DDI outcomes). A literature search was conducted in Medline, EMBASE, and the Cochrane Library for published English-language studies. Studies were included if a main outcome was related to DDIs, the intervention involved an IT-based system, and the study design was experimental or observational with controls. Study characteristics, including features and effects of IT-based interventions, were extracted...
January 2017: Journal of Medical Systems
Juyoung Park, Mingon Kang, Jean Gao, Younghoon Kim, Kyungtae Kang
Detecting arrhythmia from ECG data is now feasible on mobile devices, but in this environment it is necessary to trade computational efficiency against accuracy. We propose an adaptive strategy for feature extraction that only considers normalized beat morphology features when running in a resource-constrained environment; but in a high-performance environment it takes account of a wider range of ECG features. This process is augmented by a cascaded random forest classifier. Experiments on data from the MIT-BIH Arrhythmia Database showed classification accuracies from 96...
January 2017: Journal of Medical Systems
Paula Alexandra Rego, Rui Rocha, Brígida Mónica Faria, Luís Paulo Reis, Pedro Miguel Moreira
In recent years Serious Games have evolved substantially, solving problems in diverse areas. In particular, in Cognitive Rehabilitation, Serious Games assume a relevant role. Traditional cognitive therapies are often considered repetitive and discouraging for patients and Serious Games can be used to create more dynamic rehabilitation processes, holding patients' attention throughout the process and motivating them during their road to recovery. This paper reviews Serious Games and user interfaces in rehabilitation area and details a Serious Games platform for Cognitive Rehabilitation that includes a set of features such as: natural and multimodal user interfaces and social features (competition, collaboration, and handicapping) which can contribute to augment the motivation of patients during the rehabilitation process...
January 2017: Journal of Medical Systems
Andrew Y-Z Ou, Yu Jiang, Po-Liang Wu, Lui Sha, Richard B Berlin
In a medical environment such as Intensive Care Unit, there are many possible reasons to cause errors, and one important reason is the effect of human intellectual tasks. When designing an interactive healthcare system such as medical Cyber-Physical-Human Systems (CPHSystems), it is important to consider whether the system design can mitigate the errors caused by these tasks or not. In this paper, we first introduce five categories of generic intellectual tasks of humans, where tasks among each category may lead to potential medical errors...
January 2017: Journal of Medical Systems
Dayana Spagnuelo, Gabriele Lenzini
Transparency is described as the quality to be open about policies and practices. It is intended to inform end users of what happens to their data. It promotes good quality of service and is believed to sustain people's demand for privacy. However, at least for medical data systems, a clear definition of the property is missing and there is no agreement on what requirements qualify it. We look into this problem. First we identify concepts that relate with transparency: openness, empowerment, auditability, availability, accountability, verifiability...
January 2017: Journal of Medical Systems
Irvin Hussein López-Nava, Bert Arnrich, Angélica Muñoz-Meléndez, Arzu Güneysu
A variability analysis of upper limb therapeutic movements using wearable inertial sensors is presented. Five healthy young adults were asked to perform a set of movements using two sensors placed on the upper arm and forearm. Reference data were obtained from three therapists. The goal of the study is to determine an intra and inter-group difference between a number of given movements performed by young people with respect to the movements of therapists. This effort is directed toward studying other groups characterized by motion impairments, and it is relevant to obtain a quantified measure of the quality of movement of a patient to follow his/her recovery...
January 2017: Journal of Medical Systems
Tynan H Friend, Samantha J Jennings, Martin S Copenhaver, Wilton C Levine
In the hospital, fast and efficient communication among clinicians and other employees is paramount to ensure optimal patient care, workflow efficiency, patient safety and patient comfort. The implementation of the wireless Vocera® Badge, a hands-free wearable device distributed to perioperative team members, has increased communication efficiency across the perioperative environment at Massachusetts General Hospital (MGH). This quality improvement project, based upon identical pre- and post-implementation surveys, used qualitative and quantitative analysis to determine if and how the Vocera system affected the timeliness of information flow, ease of communication, and operating room noise levels throughout the perioperative environment...
January 2017: Journal of Medical Systems
Aleksandar Kupusinac, Edita Stokić, Enes Sukić, Olivera Rankov, Andrea Katić
Although body mass index (BMI) and body fat percentage (B F %) are well known as indicators of nutritional status, there are insuficient data whether the relationship between them is linear or not. There are appropriate linear and quadratic formulas that are available to predict B F % from age, gender and BMI. On the other hand, our previous research has shown that artificial neural network (ANN) is a more accurate method for that. The aim of this study is to analyze relationship between BMI and B F % by using ANN and big dataset (3058 persons)...
January 2017: Journal of Medical Systems
Preethy Nayar, Kimberly K McFarland, Aastha Chandak, Niodita Gupta
We validated a survey tool to test the readiness of oral health professionals for teledentistry (TD). The survey tool, the University of Calgary Health Telematics Unit's Practitioner Readiness Assessment Tool (PRAT) gathered information about the participants' beliefs, attitudes and readiness for TD before and after a teledentistry training program developed for a rural state in the Mid-Western United States. Ninety-three dental students, oral health and other health professionals participated in the TD training program and responded to the survey...
January 2017: Journal of Medical Systems
Peter F Hu, Shiming Yang, Hsiao-Chi Li, Lynn G Stansbury, Fan Yang, George Hagegeorge, Catriona Miller, Peter Rock, Deborah M Stein, Colin F Mackenzie
Research and practice based on automated electronic patient monitoring and data collection systems is significantly limited by system down time. We asked whether a triple-redundant Monitor of Monitors System (MoMs) to collect and summarize key information from system-wide data sources could achieve high fault tolerance, early diagnosis of system failure, and improve data collection rates. In our Level I trauma center, patient vital signs(VS) monitors were networked to collect real time patient physiologic data streams from 94 bed units in our various resuscitation, operating, and critical care units...
January 2017: Journal of Medical Systems
Y Karaca, Z Aslan, C Cattani, D Galletta, Y Zhang
The main aim of this paper is to classify mental functions by the Wechsler Adult Intelligence Scale-Revised tests with a mixed method based on wavelets and partial correlation. The Wechsler Adult Intelligence Scale-Revised is a widely used test designed and applied for the classification of the adults cognitive skills in a comprehensive manner. In this paper, many different intellectual profiles have been taken into consideration to measure the relationship between the mental functioning and psychological disorder...
January 2017: Journal of Medical Systems
Adem Gölcük, İnan Güler
This article proposes the employment of a proportional valve that can calculate the amount of oxygen in the air to be given to patient in accordance with the amount of FiO2 which is set from the control menu of the ventilation device. To actualize this, a stepper motor-controlled proportional valve was used. Two counts of valves were employed in order to control the gases with 2 bar pressure that came from both the oxygen and medical air tanks. Oxygen and medical air manometers alongside the pressure regulators were utilized to perform this task...
January 2017: Journal of Medical Systems
Aris S Lalos, John Lakoumentas, Anastasios Dimas, Konstantinos Moustakas
Life-long chronic inflammatory diseases of the airways, such as asthma and Chronic Obstructive Pulmonary Disease, are very common worldwide, affecting people of all ages, race and gender. One of the most important aspects for the effective management of asthma is medication adherence which is defined as the extent to which patients follow their prescribed action plan and use their inhaler correctly. Wireless telemonitoring of the medication adherence can facilitate early diagnosis and management of these diseases through the use of an accurate and energy efficient mHealth system...
December 2016: Journal of Medical Systems
Nabil Zerrouki, Fouzi Harrou, Ying Sun, Amrane Houacine
In this paper, we address the problem of detecting human falls using anomaly detection. Detection and classification of falls are based on accelerometric data and variations in human silhouette shape. First, we use the exponentially weighted moving average (EWMA) monitoring scheme to detect a potential fall in the accelerometric data. We used an EWMA to identify features that correspond with a particular type of fall allowing us to classify falls. Only features corresponding with detected falls were used in the classification phase...
December 2016: Journal of Medical Systems
Shalini Gambhir, Sanjay Kumar Malik, Yugal Kumar
In the present era, soft computing approaches play a vital role in solving the different kinds of problems and provide promising solutions. Due to popularity of soft computing approaches, these approaches have also been applied in healthcare data for effectively diagnosing the diseases and obtaining better results in comparison to traditional approaches. Soft computing approaches have the ability to adapt itself according to problem domain. Another aspect is a good balance between exploration and exploitation processes...
December 2016: Journal of Medical Systems
Zhe Yang, Qihao Zhou, Lei Lei, Kan Zheng, Wei Xiang
Public healthcare has been paid an increasing attention given the exponential growth human population and medical expenses. It is well known that an effective health monitoring system can detect abnormalities of health conditions in time and make diagnoses according to the gleaned data. As a vital approach to diagnose heart diseases, ECG monitoring is widely studied and applied. However, nearly all existing portable ECG monitoring systems cannot work without a mobile application, which is responsible for data collection and display...
December 2016: Journal of Medical Systems
M Mazhar Rathore, Awais Ahmad, Anand Paul, Jiafu Wan, Daqiang Zhang
Healthy people are important for any nation's development. Use of the Internet of Things (IoT)-based body area networks (BANs) is increasing for continuous monitoring and medical healthcare in order to perform real-time actions in case of emergencies. However, in the case of monitoring the health of all citizens or people in a country, the millions of sensors attached to human bodies generate massive volume of heterogeneous data, called "Big Data." Processing Big Data and performing real-time actions in critical situations is a challenging task...
December 2016: Journal of Medical Systems
Hyoki Lee, Jonguk Park, Hojoong Kim, Kyoung-Joung Lee
We developed a rule-based algorithm for automatic real-time detection of sleep apnea and hypopnea events using a nasal pressure signal. Our basic premise was that the performance of our new algorithm using the nasal pressure signal would be comparable to that using other sensors as well as manual annotation labeled by a technician on polysomnography study. We investigated fifty patients with sleep apnea-hypopnea syndrome (age: 56.8 ± 10.5 years, apnea-hypopnea index (AHI): 36.2 ± 18.1/h) during full night PSG recordings at the sleep center...
December 2016: Journal of Medical Systems
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