Read by QxMD icon Read

Journal of Medical Systems

Ameena Banu Mustafa, Tamilselvi Rajendran
Due to the development of modern wearable mobile devices, the need of antenna with smaller size and internally flexible to fit becomes necessary. Miniaturization of Micro Strip Patch (MSP) antenna increases its employability for communication in different aspects. The use of flexible material for the fabrication of MSP antenna still improves its use for Wireless Body Area Networks (WBAN) which includes devices for monitoring systems in military, surveillance and medical applications. The devices designed specifically in Industrial Scientific Medical (ISM) band are used for communication in these applications...
May 17, 2019: Journal of Medical Systems
Era Kim, Pedro J Caraballo, M Regina Castro, David S Pieczkiewicz, Gyorgy J Simon
Although machine learning models are increasingly being developed for clinical decision support for patients with type 2 diabetes, the adoption of these models into clinical practice remains limited. Currently, machine learning (ML) models are being constructed on local healthcare systems and are validated internally with no expectation that they would validate externally and thus, are rarely transferrable to a different healthcare system. In this work, we aim to demonstrate that (1) even a complex ML model built on a national cohort can be transferred to two local healthcare systems, (2) while a model constructed on a local healthcare system's cohort is difficult to transfer; (3) we examine the impact of training cohort size on the transferability; and (4) we discuss criteria for external validity...
May 17, 2019: Journal of Medical Systems
Juliette Rambourg, Hélène Gaspard-Boulinc, Stéphane Conversy, Marc Garbey
Large hospital surgical suites must combine high quality of care with an efficient management of operations. However, the diversity of procedures, staff, and patients present important challenges for staff collaboration. The complexity of flows between tasks and places, such as interconnections between pre-operation, post-operation and intensive care units, led previous research to address these issues separately using checklists, scheduling, or specialized human-computer interfaces. Approaches to treat the surgical suite as a whole entity have not been explored yet...
May 16, 2019: Journal of Medical Systems
Guobin Zhang, Zhiyong Yang, Li Gong, Shan Jiang, Lu Wang, Xi Cao, Lin Wei, Hongyun Zhang, Ziqi Liu
As "the second eyes" of radiologists, computer-aided diagnosis systems play a significant role in nodule detection and diagnosis for lung cancer. In this paper, we aim to provide a systematic survey of state-of-the-art techniques (both traditional techniques and deep learning techniques) for nodule diagnosis from computed tomography images. This review first introduces the current progress and the popular structure used for nodule diagnosis. In particular, we provide a detailed overview of the five major stages in the computer-aided diagnosis systems: data acquisition, nodule segmentation, feature extraction, feature selection and nodule classification...
May 15, 2019: Journal of Medical Systems
Reza Khajouei, Maryam Eslami Jahromi, Arefeh Ameri
Today, despite the advantages of the PACS system, its implementation in some healthcare organizations faces many challenges. One of the important factors in the successful implementation of a PACS system is identifying and prioritizing the challenges from the perspectives of involved staff and user of this system. Therefore, the aim of this study was to determine and compare the challenges of implementing PACS from perspectives these users in educational hospitals. This study was conducted on all IT and medical equipment staff, and radiology residents (n = 140) in Kerman University of Medical Sciences (KUMS) and Shiraz University of Medical Sciences (SUMS) in 2016...
May 15, 2019: Journal of Medical Systems
Jayesh George Melekoodappattu, Perumal Sankar Subbian
Detection of masses and micro calcifications are a stimulating task for radiologists in digital mammogram images. Radiologists using Computer Aided Detection (CAD) frameworks to find the breast lesion. Micro calcification may be the early sign of breast cancer. There are different kinds of methods used to detect and recognize micro calcification from mammogram images. This paper presents an ELM (Extreme Learning Machine) algorithm for micro calcification detection in digital mammogram images. The interference of mammographic image is removed at the pre-processing stages...
May 15, 2019: Journal of Medical Systems
C Pratheeba, N Nirmal Singh
Diabetic Retinopathy is the major cause of blindness for diabetics in which the retina is damaged. Regular screening system help in detecting the early symptoms like exudates, which are due to the leakage of blood pressure of vessels. The significant role of proposed system is detecting the hard exudates in prevention of visual loss and blindness. Many researchers studied and investigated about detecting the exudates region but not satisfied with their results. Fundamental medical image processing steps with different techniques are implemented by the proposed system...
May 15, 2019: Journal of Medical Systems
T Kavitha, K Geetha, R Muthaiah
Due to lack of a central bureaucrat in mobile ad hoc networks, the security of the network becomes serious issue. During malicious attacks, according to the motivation of intruder the severity of the threat varies. It may lead to loss of data, energy or throughput. This paper proposes a lightweight Intruder Node Detection and Isolation Action mechanism (INDIA) using feature extraction, feature optimization and classification techniques. The indirect and direct trust features are extracted from each node and the total trust feature is computed by combining them...
May 10, 2019: Journal of Medical Systems
María Del Carmen León-Araujo, Elisa Gómez-Inhiesto, María Teresa Acaiturri-Ayesta
The efficiency of a smart cabinet with RFID technology to improve the information about inventory management for cardiothoracic surgery as well as for time savings, was assessed in a large reference hospital. In a 6-month study, the implemented operational RFID process (StocKey® Smart Cabinet) consisted of: i) product reception, registration and labelling in the general warehouse; ii) product storage in the cabinet and registered as inputs by radiofrequency; iii) products registered as outputs as required for surgery; iv) product assignment to a patient in the operating room; and v) return of products not used to the cabinet...
May 10, 2019: Journal of Medical Systems
Dhamodharan Srinivasan, Mohanbabu Gopalakrishnan
In the field of medicinal applications, early / (Timely) detection of Breast cancer is a key diagnosing process which provides effective medical treatment and also reduces women mortality. Due to the advancement and growth of medical sciences, efficient antennas are needed for imaging, diagnosing and providing superior treatment to the patients. Since tumor is tiny in size at the early stage, the knowledge of its precise location is chiefly required. For this purpose several antennas with high accuracy are designed...
May 9, 2019: Journal of Medical Systems
Qing Ye, Zhaohua Deng, Yanyan Chen, Jiazhi Liao, Gang Li
This study evaluates the impact of health information technology in accessing medical resources and identifies its role in improving health equity. We used 262, 771 records from the electronic medical records and outpatient appointment systems of three clinics for logistic regression to analyze the impact of information technology on patients' access to medical care. We interviewed a few health professionals to gauge their reactions and to validate and understand our quantitative results. The proportion of inpatients affected by information technology is low, accounting for only 16...
May 9, 2019: Journal of Medical Systems
Blanca Rodríguez Vargas, Javier Sánchez-Rubio Ferrández, Jorge Garrido Fuentes, Reyes Velayos, Ramón Morillo Verdugo, Ferrán Sala Piñol, Alberto Onteniente González, Miguel Ángel Rodríguez Sagrado
The Preparadxs app was designed to enhace the prevention of the HIV and other sexually transmitted infections transmission through the empowerment of the user. The purpose of this study is to determine the usability and perception about the app among real users. In this prospective cross-sectional study all app end-users were asked to answer the System Usability Scale and question regarding app capability to reduce sexually transmitted infections in the future. Influence of several variables (gender identity, educational level and digital native condition) was explored...
May 9, 2019: Journal of Medical Systems
Karkuzhali S, Manimegalai D
Diabetes is characterized by constant high level of blood glucose. The human body needs to maintain insulin at very constrict range. The patients who are all affected by diabetes for a long time affected by eye disease called Diabetic Retinopathy (DR). The retinal landmarks namely Optic disc is predicted and masked to decrease the false positive in the exudates detection. The abnormalities like Exudates, Microaneurysms and Hemorrhages are segmented to classify the various stages of DR. The proposed approach is employed to separate the landmarks of retina and lesions of retina for the classification of stages of DR...
May 8, 2019: Journal of Medical Systems
Senthil Kumar Sundararajan, B Sankaragomathi, D Saravana Priya
Avascular Necrosis (AN) is a cause of muscular-skeletal disability. As it is common amongst the younger people, early intervention and prompt diagnosis is requisite. This disease normally affects the femoral bones, in order that the bones' shape gets altered due to the fracture. Other common sites encompass knees, humerus, shoulders, jaw, and ankles. The retrieval of the AN affected bone images is challenging due to its varied fracture locations. This work proposes an effectual methodology for retrieval of AN images utilizing Deep Belief CNN Feature Representation...
May 8, 2019: Journal of Medical Systems
Neelam Sanjeev Kumar, P Nirmalkumar
Analysis of healthcare data becomes a tedious task as large volume of unlabelled information is generated. In this article, an algorithm is proposed to reduce the complexity involved in analysis of healthcare data. The proposed algorithm predicts the health status of elderly from the data collected at health centres by utilizing PCA (principle component analysis) and SVM (support vector machine) algorithms. The performance of proposed algorithm is assessed by comparing it with well-known methods like quadratic Discriminant, linear Discriminant, logistic regression, KNN weighted and SVM medium Gaussian using F-measure...
May 7, 2019: Journal of Medical Systems
R Vijayarajeswari, M Nagabhushan, P Parthasarathy
The application of data mining has been increasing day to day whereas the data base is also enhancing simultaneously. Hence retrieving required content from a huge data base is a critical task. This paper focus on biomedical engineering field, it concentrates on initial stage of database such as data preprocessing and cleansing to deal with noise and missing data in large biomedical data sets. The database of biomedical is huge and enhancing nature retrieving of specific content will be a critical task. Suggesting prescription with respect to identified disease based on profile analysis of specific patient is not available in current system...
May 7, 2019: Journal of Medical Systems
Dhina Suresh, M Lilly Florence
Cloud-based Personal Health Record (PHR) in the electronic and information system has become next generation cloud platform for facilitating efficient, secure and scalable data access to foster the collaborative care. Data owner prefers to outsource their confidential electronic data to the cloud for effective retrieval and storage without provoking the depletion or losses due to data management and maintenance. Secure data sharing and searching are vital. Be that as it may, secure search for the outsourced data is a formidable errand, which may easily incur the leakage of sensitive personal information...
May 7, 2019: Journal of Medical Systems
Rongrong Fu, Yongsheng Tian, Tiantian Bao, Zong Meng, Peiming Shi
Mental tasks classification such as motor imagery, based on EEG signals is an important problem in brain computer interface systems (BCI). One of the major concerns in BCI is to have a high classification accuracy. The other concerning one is with the favorable result is guaranteed how to improve the computational efficiency. In this paper, Mu/Beta rhythm was obtained by bandpass filter from EEG signal. And the classical linear discriminant analysis (LDA) was used for deciding which rhythm can give the better classification performance...
May 7, 2019: Journal of Medical Systems
Hemalatha Karnan, N Sivakumaran, Rajajeyakumar Manivel
The interpretation of various cardiovascular blood flow abnormalities can be identified using Electrocardiogram (ECG). The predominant anomaly due to the blood flow dynamics leads to the occurrence of cardiac arrhythmias in the cardiac system. In this work, estimation of cardiac output (CO) parameter using blood flow rate analysis is carried out, which is a vital parameter to identify the subjects with left- ventricular arrhythmias (LVA). In particular, LVA is a resultant component of characteristic changes in blood rheology (blood flow rate)...
May 6, 2019: Journal of Medical Systems
Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Elsa Ferreira Gomes, Alípio M Jorge
Cardiovascular disease is the leading cause of death in the world, and its early detection is a key to improving long-term health outcomes. The auscultation of the heart is still an important method in the medical process because it is very simple and cheap. To detect possible heart anomalies at an early stage, an automatic method enabling cardiac health low-cost screening for the general population would be highly valuable. By analyzing the phonocardiogram signals, it is possible to perform cardiac diagnosis and find possible anomalies at an early-term...
May 6, 2019: Journal of Medical Systems
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"