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Journal of Medical Systems

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https://www.readbyqxmd.com/read/28929422/electronic-health-records-and-preparedness-lessons-from-hurricanes-katrina-and-harvey
#1
EDITORIAL
Shayne Sebold Taylor, Jesse M Ehrenfeld
No abstract text is available yet for this article.
November 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28913679/erratum-to-towards-robot-assisted-echocardiographic-monitoring-in-catheterization-laboratories-usability-centered-manipulator-for-transesophageal-echocardiography
#2
Christina Pahl, Henning Ebelt, Mostafa Sayahkarajy, Eko Supriyanto, Amiliana Soesanto
No abstract text is available yet for this article.
November 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29052021/a-new-approach-to-predict-user-mobility-using-semantic-analysis-and-machine-learning
#3
Roshan Fernandes, Rio D'Souza G L
Mobility prediction is a technique in which the future location of a user is identified in a given network. Mobility prediction provides solutions to many day-to-day life problems. It helps in seamless handovers in wireless networks to provide better location based services and to recalculate paths in Mobile Ad hoc Networks (MANET). In the present study, a framework is presented which predicts user mobility in presence and absence of mobility history. Naïve Bayesian classification algorithm and Markov Model are used to predict user future location when user mobility history is available...
October 19, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29043502/an-integrated-approach-using-chaotic-map-sample-value-difference-method-for-electrocardiogram-steganography-and-ofdm-based-secured-patient-information-transmission
#4
Anukul Pandey, Barjinder Singh Saini, Butta Singh, Neetu Sood
This paper presents a patient's confidential data hiding scheme in electrocardiogram (ECG) signal and its subsequent wireless transmission. Patient's confidential data is embedded in ECG (called stego-ECG) using chaotic map and the sample value difference approach. The sample value difference approach effectually hides the patient's confidential data in ECG sample pairs at the predefined locations. The chaotic map generates these predefined locations through the use of selective control parameters. Subsequently, the wireless transmission of the stego-ECG is analyzed using the Orthogonal Frequency Division Multiplexing (OFDM) system in a Rayleigh fading scenario for telemedicine applications...
October 18, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29039621/supporting-emergency-medical-care-teams-with-an-integrated-status-display-providing-real-time-access-to-medical-best-practices-workflow-tracking-and-patient-data
#5
PoLiang Wu, Min-Young Nam, Jeonghwan Choi, Alex Kirlik, Lui Sha, Richard B Berlin
The work of a hospital's medical staff is safety critical and often occurs under severe time constraints. To provide timely and effective cognitive support to medical teams working in such contexts, guidelines in the form of best practice workflows for healthcare have been developed by medical organizations. However, the high cognitive load imposed in such stressful and rapidly changing environments poses significant challenges to the medical staff or team in adhering to these workflows. In collaboration with physicians and nurses from Carle Foundation Hospital, we first studied and modeled medical team's individual responsibilities and interactions in cardiac arrest resuscitation and decomposed their overall task into a set of distinct cognitive tasks that must be specifically supported to achieve successful human-centered system design...
October 17, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29039620/preoperative-genetic-testing-and-personalized-medicine-changing-the-care-paradigm
#6
EDITORIAL
Rodney A Gabriel, Jesse M Ehrenfeld, Richard D Urman
No abstract text is available yet for this article.
October 17, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29032458/a-systematic-review-of-techniques-and-sources-of-big-data-in-the-healthcare-sector
#7
Susel Góngora Alonso, Isabel de la Torre Díez, Joel J P C Rodrigues, Sofiane Hamrioui, Miguel López-Coronado
The main objective of this paper is to present a review of existing researches in the literature, referring to Big Data sources and techniques in health sector and to identify which of these techniques are the most used in the prediction of chronic diseases. Academic databases and systems such as IEEE Xplore, Scopus, PubMed and Science Direct were searched, considering the date of publication from 2006 until the present time. Several search criteria were established as 'techniques' OR 'sources' AND 'Big Data' AND 'medicine' OR 'health', 'techniques' AND 'Big Data' AND 'chronic diseases', etc...
October 14, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29032428/usability-operations-on-touch-mobile-devices-for-users-with-autism
#8
Angeles Quezada, Reyes Juárez-Ramírez, Samantha Jiménez, Alan Ramírez Noriega, Sergio Inzunza, Arnulfo Alanis Garza
The Autistic Spectrum Disorder is a cognitive disorder that affects the cognitive and motor skills; due that, users cannot perform digital and fine motor tasks. It is necessary to create software applications that adapt to the abilities of these users. In recent years has been an increase in the research of the use of technology to support autistic users to develop their communication skills and to improve learning. However, the applications' usability for disable users is not assessed objectively as the existing models do not consider interaction operators for disable users...
October 14, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29027078/dynamic-scheduling-for-veterans-health-administration-patients-using-geospatial-dynamic-overbooking
#9
Stephen Adams, William T Scherer, K Preston White, Jason Payne, Oved Hernandez, Mathew S Gerber, N Peter Whitehead
The Veterans Health Administration (VHA) is plagued by abnormally high no-show and cancellation rates that reduce the productivity and efficiency of its medical outpatient clinics. We address this issue by developing a dynamic scheduling system that utilizes mobile computing via geo-location data to estimate the likelihood of a patient arriving on time for a scheduled appointment. These likelihoods are used to update the clinic's schedule in real time. When a patient's arrival probability falls below a given threshold, the patient's appointment is canceled...
October 12, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28990135/text-messaging-sms-helping-cancer-care-in-patients-undergoing-chemotherapy-treatment-a-pilot-study
#10
Timóteo Matthies Rico, Karina Dos Santos Machado, Vanessa Pellegrini Fernandes, Samanta Winck Madruga, Patrícia Tuerlinckx Noguez, Camila Rose Guadalupe Barcelos, Mateus Madail Santin, Cristiane Rios Petrarca, Samuel Carvalho Dumith
Cancer treatment is an extremely stressful life experience that is accompanied by a range of psychological, social, physical, and practical difficulties. Cancer patients need to receive information that helps them to better understand the disease, assists them in decision-making, and helps them deal with treatment. Patients are interested in receiving such information. The degree of satisfaction with the information received has been associated with positive health outcomes, specifically regarding quality of life, severity of side effects, and psychological well-being...
October 9, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28971278/a-systematic-review-of-wearable-systems-for-cancer-detection-current-state-and-challenges
#11
Partha Pratim Ray, Dinesh Dash, Debashis De
Rapid growth of sensor and computing platforms have introduced the wearable systems. In recent years, wearable systems have led to new applications across all medical fields. The aim of this review is to present current state-of-the-art approach in the field of wearable system based cancer detection and identify key challenges that resist it from clinical adoption. A total of 472 records were screened and 11 were finally included in this study. Two types of records were studied in this context that includes 45% research articles and 55% manufactured products...
October 2, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28965182/a-green-media-access-method-for-ieee-802-15-6-wireless-body-area-network
#12
Anil K Jacob, Lillykutty Jacob
It is of utmost importance to conserve battery energy to the maximum possible extent in WBAN nodes while collecting and transferring medical data. The IEEE 802.15.6 WBAN standard does not specify any method to conserve energy. This paper focuses on a method to conserve energy in IEEE 802.15.6 WBAN nodes when using CSMA/CA, while simultaneously restricting data delivery delay to the required value as specified in medical applications. The technique is to allow the nodes to sleep all the times except for receiving beacons and for transmitting data frames whenever a data frame enters an empty buffer...
September 30, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28956226/evolutionary-and-neural-computing-based-decision-support-system-for-disease-diagnosis-from-clinical-data-sets-in-medical-practice
#13
M Sudha
As a recent trend, various computational intelligence and machine learning approaches have been used for mining inferences hidden in the large clinical databases to assist the clinician in strategic decision making. In any target data the irrelevant information may be detrimental, causing confusion for the mining algorithm and degrades the prediction outcome. To address this issue, this study attempts to identify an intelligent approach to assist disease diagnostic procedure using an optimal set of attributes instead of all attributes present in the clinical data set...
September 27, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28952010/cardiopulmonary-coupling-analysis-using-home-sleep-monitoring-system-based-on-air-mattress
#14
Jong-Uk Park, Erdenebayar Urtnasan, Eun-Yeon Joo, Kyoung-Joung Lee
This study investigates the feasibility of cardiopulmonary coupling (CPC) using home sleep monitoring system. We have designed a system to measure respiratory signals and normal-to-normal (NN) interval series in a non-contact based on air mattress. Then, CPC analysis was conducted using extracted respiratory signals and NN interval series, and six CPC parameters were extracted (VLFC, LFC, HFC, e-LFC, e-LFCNB and e-LFCBB). To evaluate the proposed method, two statistical analyses were conducted between the CPC parameters extracted by the electrocardiogram-based conventional method and the air mattress-based proposed method for five patients with obstructive sleep apnea and hypopnea (OSAH)...
September 26, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28948460/a-new-evolutionary-algorithm-based-home-monitoring-device-for-parkinson-s-dyskinesia
#15
Michael A Lones, Jane E Alty, Jeremy Cosgrove, Philippa Duggan-Carter, Stuart Jamieson, Rebecca F Naylor, Andrew J Turner, Stephen L Smith
Parkinson's disease (PD) is a neurodegenerative movement disorder. Although there is no cure, symptomatic treatments are available and can significantly improve quality of life. The motor, or movement, features of PD are caused by reduced production of the neurotransmitter dopamine. Dopamine deficiency is most often treated using dopamine replacement therapy. However, this therapy can itself lead to further motor abnormalities referred to as dyskinesia. Dyskinesia consists of involuntary jerking movements and muscle spasms, which can often be violent...
September 25, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28940043/extricating-manual-and-non-manual-features-for-subunit-level-medical-sign-modelling-in-automatic-sign-language-classification-and-recognition
#16
Elakkiya R, Selvamani K
Subunit segmenting and modelling in medical sign language is one of the important studies in linguistic-oriented and vision-based Sign Language Recognition (SLR). Many efforts were made in the precedent to focus the functional subunits from the view of linguistic syllables but the problem is implementing such subunit extraction using syllables is not feasible in real-world computer vision techniques. And also, the present recognition systems are designed in such a way that it can detect the signer dependent actions under restricted and laboratory conditions...
September 22, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28929417/a-metaheuristically-tuned-interval-type-2-fuzzy-system-to-reduce-segmentation-uncertainty-in-brain-mri-images
#17
Abolfazl Taghribi, Saeed Sharifian
Precise segmentation of magnetic resonance image (MRI) seems challenging because of the complex structure of the brain, non-uniform field in images, and noise. As a result, decision-making is associated with uncertainty. Fuzzy based approaches have been developed to overcome this problem, though most of them use fuzzy type 1 method, and sometimes contain a pre-processing step. This paper "modified type 2 fuzzy system" (MT2FS) declares a state-of-the-art method to segment MRI images using interval fuzzy type-2...
September 19, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28929373/security-belt-for-wireless-implantable-medical-devices
#18
Selman Kulaç
In this study, a new protective design compatible with existing non-secure systems was proposed, since it is focused on the secure communication of wireless IMD systems in all transmissions. This new protector is an external wearable device and appears to be a belt fitted around for the patients IMD implanted. However, in order to provide effective full duplex transmissions and physical layer security, some sophisticated transceiver antennas have been placed on the belt. In this approach, beam-focused multi-antennas in optimal positions on the belt are randomly switched when transmissions to the IMD are performed and multi-jammer switching with MRC combining or majority-rule based receiving techniques are applied when transmissions from the IMD are carried out...
September 19, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28921446/can-a-novel-icu-data-display-positively-affect-patient-outcomes-and-save-lives
#19
Natalia Olchanski, Mikhail A Dziadzko, Ing C Tiong, Craig E Daniels, Steve G Peters, John C O'Horo, Michelle N Gong
The aim of this study was to quantify the impact of ProCCESs AWARE, Ambient Clinical Analytics, Rochester, MN, a novel acute care electronic medical record interface, on a range of care process and patient health outcome metrics in intensive care units (ICUs). ProCCESs AWARE is a novel acute care EMR interface that contains built-in tools for error prevention, practice surveillance, decision support and reporting. We compared outcomes before and after AWARE implementation using a prospective cohort and a historical control...
September 18, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28920174/features-and-effects-of-information-technology-based-interventions-to-improve-self-management-in-chronic-kidney-disease-patients-a-systematic-review-of-the-literature
#20
Fateme Rangraz Jeddi, Ehsan Nabovati, Shahrzad Amirazodi
Slowing down the progression of chronic kidney disease (CKD) and its adverse health outcomes requires the patient's self-management and attention to treatment recommendations. Information technology (IT)-based interventions are increasingly being used to support self-management in patients with chronic diseases such as CKD. We conducted a systematic review of randomized controlled trials (RCTs) to assess the features and effects of IT-based interventions on self-management outcomes of CKD patients. A comprehensive search was conducted in Medline, Scopus, and the Cochrane Library to identify relevant papers that were published until May 2016...
September 18, 2017: Journal of Medical Systems
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