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Journal of Medical Systems

Damien Saboul, Christophe Hautier
The 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)...
January 19, 2019: Journal of Medical Systems
Justin P Tuwatananurak, Shayan Zadeh, Xinling Xu, Joshua A Vacanti, William R Fulton, Jesse M Ehrenfeld, Richard D Urman
Operating 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 milestones, and hospital logistics and compared to that of a conventional EHR...
January 17, 2019: Journal of Medical Systems
Jiapeng Li, Yue Yang
Apparent 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...
January 16, 2019: Journal of Medical Systems
Mohammed Talal, A A Zaidan, B B Zaidan, A S Albahri, A H Alamoodi, O S Albahri, M A Alsalem, C K Lim, K L Tan, W L Shir, K I Mohammed
The Internet of Things (IoT) has been identified in various applications across different domains, such as in the healthcare sector. IoT has also been recognised for its revolution in reshaping modern healthcare with aspiring wide range prospects, including economical, technological and social. 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...
January 15, 2019: Journal of Medical Systems
Márcia Baptista, José Braga Vasconcelos, Álvaro Rocha, Rita Silva, João Vidal Carvalho, Helena Gonçalves Jardim, António Quintal
Conservative practices, such as manual registry have limited scope regarding preoperative, intraoperative and postoperative decision making, knowledge discovery, analytical techniques and knowledge integration into patient care. To maximize quality and value, perioperative care is changing through new technological developments. In this context, knowledge management practices will enable future transformation and enhancements in healthcare services. By performing a data science and knowledge management research in the perioperative department at Hospital Dr...
January 12, 2019: Journal of Medical Systems
Varatharajan Ramachandran, Vasanth Kishorebabu
A 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...
January 11, 2019: Journal of Medical Systems
Weihong Han, Zizhong Huang, Shudong Li, Yan Jia
Aiming 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...
January 10, 2019: Journal of Medical Systems
Mohamed Abdel-Basset, Gunasekaran Manogaran, Abduallah Gamal, Florentin Smarandache
Advances 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...
January 10, 2019: Journal of Medical Systems
D Palanikkumar, S Priya
With 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...
January 8, 2019: Journal of Medical Systems
V Vimala, K Ramar, M Ettappan
Sleep 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 Gamma, Beta, Alpha, Theta, and Delta...
January 8, 2019: Journal of Medical Systems
João Vidal Carvalho, Álvaro Rocha, António Abreu
Maturity models have been adopted in organizations from different sectors of activity, as guides and references for information system (IS) management. In the healthcare field, maturity models have also been used to deal with the enormous complexity and demands of hospital information systems (HIS). 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...
January 7, 2019: Journal of Medical Systems
E Punarselvam, P Suresh
In 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...
January 6, 2019: Journal of Medical Systems
Moceheb Lazam Shuwandy, B B Zaidan, A A Zaidan, A S Albahri
The new and groundbreaking real-time remote healthcare monitoring system on sensor-based mobile health (mHealth) authentication in telemedicine has considerably bounded and dispersed communication components. mHealth, an attractive part in telemedicine architecture, plays an imperative role in patient security and privacy and adapts different sensing technologies through many built-in sensors. This study aims to improve sensor-based defence and attack mechanisms to ensure patient privacy in client side when using mHealth...
January 6, 2019: Journal of Medical Systems
Steven J Baccei, Cole DiRoberto, Janet Greene, Max P Rosen
The 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 implementation of PeerVue (Year 2) at a tertiary care academic medical center...
January 5, 2019: Journal of Medical Systems
Beiqun Zhao, Ruth S Waterman, Richard D Urman, Rodney A Gabriel
Robot-assisted surgery (RAS) requires a large capital investment by healthcare organizations. The cost of a robotic unit is fixed, so institutions must maximize use of each unit by utilizing all available operating room block time. One way to increase utilization is to accurately predict case durations. 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...
January 5, 2019: Journal of Medical Systems
P Shanmuga Sundaram, N Santhiyakumari
The 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...
January 5, 2019: Journal of Medical Systems
T Manojkumar, P Karthigaikumar, Varatharajan Ramachandran
In 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...
January 5, 2019: Journal of Medical Systems
S Selvakumar, P Shahabudeen, T Paul Robert
In 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...
January 3, 2019: Journal of Medical Systems
Lisa Zubkoff, Julia Neily, Peter D Mills
Despite 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...
January 3, 2019: Journal of Medical Systems
Haibo Tian, Jiejie He, Yong Ding
Medical 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...
January 3, 2019: Journal of Medical Systems
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