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Journal of Medical Systems

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https://www.readbyqxmd.com/read/30218383/validation-of-a-sequential-organ-failure-assessment-score-using-electronic-health-record-data
#1
Luis E Huerta, Jonathan P Wanderer, Jesse M Ehrenfeld, Robert E Freundlich, Todd W Rice, Matthew W Semler
The sequential organ failure assessment (SOFA) score is a scoring system commonly used in critical care to assess severity of illness. Automated calculation of the SOFA score using existing electronic health record data would broaden its applicability. We performed a manual validation of an automated SOFA score previously developed at our institution. A retrospective analysis of a random subset of 300 patients from a previously published randomized trial of critically ill adults was performed, with manual validation of SOFA scores from the date of initial intensive care unit admission...
September 14, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30218206/a-hybrid-algorithm-for-prediction-of-varying-heart-rate-motion-in-computer-assisted-beating-heart-surgery
#2
Saeed Mansouri, Farzam Farahmand, Gholamreza Vossoughi, Alireza Alizadeh Ghavidel
An essential requirement for performing robotic assisted surgery on a freely beating heart is a prediction algorithm which can estimate the future trajectory of the heart in the varying heart rate (HR) conditions of real surgery with a high accuracy. In this study, a hybrid amplitude modulation- (AM) and autoregressive- (AR) based algorithm was developed to enable estimating the global and local oscillations of the beating heart, raised from its major and minor physiological activities. The AM model was equipped with an estimator of the heartbeat frequency to compensate for the HR variations...
September 14, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30215150/effect-of-providing-drug-utilization-review-information-on-tricyclic-antidepressant-prescription-in-the-elderly
#3
Mi-Ju Park, Mi-Hee Kim, Sun Mi Shin, Soo Youn Chung
Tricyclic antidepressants are known as potentially inappropriate medications in the elderly. A notification issued in July 2015 in South Korea recommended caution while prescribing tricyclic antidepressants to the elderly. Further, since October 2015, the nationwide computerized drug utilization review monitoring system provides a pop-up window, on a real-time basis, whenever tricyclic antidepressants are prescribed to elderly outpatients. Therefore, we evaluated whether providing drug utilization review information was effective in reducing tricyclic antidepressant prescription to elderly outpatients...
September 13, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30215148/impulse-noise-removal-from-medical-images-by-two-stage-quaternion-vector-median-filter
#4
P Roji Chanu, Kh Manglem Singh
This paper presents a two-stage impulse noise removal filter from medical images. Quaternion is used to represent differences of two pixels. The pixels are sorted and assigned a rank based on the aggregated sum of pixel differences with other pixels inside the filtering window. The central pixel is considered as corrupted by an impulse if its rank is bigger than a predefined rank and the minimum difference between it and other pixels in the four edge direction inside the window is larger than a predefined threshold...
September 13, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30215143/a-privacy-preservation-secure-cross-layer-protocol-design-for-iot-based-wireless-body-area-networks-using-ecdsa-framework
#5
P T Sharavanan, D Sridharan, R Kumar
Internet of Things (IoT) provides the collection of devices in different applications in which Wireless Body Area Network (WBAN) is placed an crucial role. The WBAN is a wireless sensor network consisting of sensor nodes that is collected from IoT which is implanted in the human body to remotely monitor the patient's physiological signals without affecting their routine work. During emergency situations or life-threatening situations there is a need for a better performance to deliver the actual data with an efficient transmission and there is still a challenge in efficient remote monitoring...
September 13, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30209627/mobile-learning-in-medical-education
#6
REVIEW
Blanka Klímová
Currently, mobile learning is a new trend in medical education. Therefore, the aim of this study is to examine the use of m-learning in medical education and discuss its effect on student learning process in order to help future medical professionals deliver better care for patients and populations. This was done by conducting a literature search in the databases Web of Science, Scopus, and MEDLINE, and consequently by evaluating the findings of the selected studies. The results of this study confirm that mobile learning is efficient, especially in the acquisition of new knowledge and skills...
September 12, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30209620/feature-selection-and-parameters-optimization-of-support-vector-machines-based-on-hybrid-glowworm-swarm-optimization-for-classification-of-diabetic-retinopathy
#7
R Karthikeyan, P Alli
Diabetic Retinopathy (DR) has been a leading cause of blindness in case of human beings falling between the ages of 20 and 74 years. This will have a major influence on both the patient and the society as it can normally influence the humans in their gainful years. An early DR detection is quite challenging as it may not be detected by humans. There are several techniques and algorithms that have been established for detecting the DR. These techniques have been facing problems to achieve effective sensitivity, accuracy, and specificity...
September 12, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30206721/a-novel-method-of-segmentation-and-classification-for-meditation-in-health-care-systems
#8
A Devipriya, N Nagarajan
Meditation improves positivity in behavioral as well as psychological changes, which are brought elucidated by knowing neuro-physiological consequences of meditation. In the field of cognitive science, neuroscience and physiological research, Electroencephalogram (EEG) is extensively utilized. The primary tasks of EEG signal analysis is to identify the noisy signal as well as enormous data that create signal processing and subsequent analysis. Beforehand any analysis of the EEG signal, the obtained raw signal must be preprocessed for eliminating undesirable artifacts as well as horrible noise...
September 11, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30203246/developing-charcot-marie-tooth-disease-recognition-system-using-bacterial-foraging-optimization-algorithm-based-spiking-neural-network
#9
Abdulaziz Abdullah Al-Kheraif, Mohamed Hashem, Mohammed Sayed S Al Esawy
In the developing technology Charcot-Marie-Tooth (CMT) disease is one of the teeth diseases which are occurred due to the genetic reason. The CMT disease affects the muscle tissue which reduces the progressive growth of the muscle. So, the CMT disease needs to be recognized carefully for eliminating the risk factors in the early stage. At the time of this process, the system handles the difficulties while performing feature extraction and classification part. So, the teeth images are processed by applying the normalization method which eliminates the salt and pepper noise from data...
September 10, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30187139/usability-testing-of-a-smartphone-application-for-delivering-qigong-training
#10
Denise Shuk Ting Cheung, Calvin Ka Lun Or, Mike Ka Pui So, Agnes Tiwari
A Qigong App was designed to promote a more flexible mode of delivering qigong training than face-to-face, with which individuals can access to this mind-body aerobic exercise more readily. The objective of the study was to examine the usability and acceptance of the App. Target participants were Cantonese- or Putonghua-speaking adults and owned a smartphone. First we conducted a pilot trial with 14 participants to examine the navigation feature of the App, followed by a main test. In the main test, another 100 participants reviewed the Qigong App and filled in a questionnaire on usability (System Usability Scale) and user acceptance (i...
September 5, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30178422/a-new-bacterial-growth-graph-pattern-analysis-to-improve-positive-predictive-value-of-continuous-monitoring-blood-culture-system
#11
Kwangjin Ahn, Jae-Hyeong Ahn, Juwon Kim, Jong-Han Lee, Gyu Yel Hwang, Gilsung Yoo, Kap Jun Yoon, Young Uh
False positive signals (FPSs) of continuous monitoring blood culture system (CMBCS) cause delayed reporting time and increased laboratory cost. This study aimed to analyze growth graphs digitally in order to identify specific patterns of FPSs and true positive signals (TPSs) and to find the method for improving positive predictive value (PPV) of FPS and TPS. 606 positive signal samples from the BACTEC FX (BD, USA) CMBCS with more than one hour of monitoring data after positive signal were selected, and were classified into FPS and TPS groups using the subculture results...
September 4, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30178184/a-methodological-review-of-3d-reconstruction-techniques-in-tomographic-imaging
#12
REVIEW
Usman Khan, AmanUllah Yasin, Muhammad Abid, Imran Shafi Awan, Shoaib A Khan
Computer Vision has provided immense support to medical diagnostics over the past two decades. Analogous to Non Destructive Testing of mechanical parts, advances in medical imaging has enabled surgeons to determine root cause of an illness by consulting medical images particularly 3-D imaging. 3-D modeling in medical imaging has been pursued using surface rendering, volume rendering and regularization based methods. Tomographic reconstruction in 3D is different from camera based scene reconstruction which has been achieved using various techniques including minimal surfaces, level sets, snakes, graph cuts, silhouettes, multi-scale approach, patchwork etc...
September 4, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30173379/prediction-of-novel-drugs-and-diseases-for-hepatocellular-carcinoma-based-on-multi-source-simulated-annealing-based-random-walk
#13
S Jafar Ali Ibrahim, M Thangamani
Computational techniques for foreseeing drug-disease associations by means of incorporating gene expression as well as biological network give high intuitions to the composite associations amongst targets, drugs, disease genes in addition to the diseases at a system level. Hepatocellular Carcinoma (HCC) is a malevolent tumor containing a greater rate of sickness as well as mortality. In the present work, an Integrative framework is presented with the aim of resolving this problem, for identifying new Drugs for HCC dependent upon Multi-Source Random Walk (PD-MRW), in which score the complete drugs by means of building the drug-drug similarity network...
September 1, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30173290/kyasanur-forest-disease-classification-framework-using-novel-extremal-optimization-tuned-neural-network-in-fog-computing-environment
#14
Abhishek Majumdar, Tapas Debnath, Sandeep K Sood, Krishna Lal Baishnab
Kyasanur Forest Disease (KFD) is a life-threatening tick-borne viral infectious disease endemic to South Asia and has been taking so many lives every year in the past decade. But recently, this disease has been witnessed in other regions to a large extent and can become an epidemic very soon. In this paper, a new fog computing based e-Healthcare framework has been proposed to monitor the KFD infected patients in an early phase of infection and control the disease outbreak. For ensuring high prediction rate, a novel Extremal Optimization tuned Neural Network (EO-NN) classification algorithm has been developed using hybridization of the extremal optimization with the feed-forward neural network...
September 1, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30171378/maintaining-security-and-privacy-in-health-care-system-using-learning-based-deep-q-networks
#15
P Mohamed Shakeel, S Baskar, V R Sarma Dhulipala, Sukumar Mishra, Mustafa Musa Jaber
In the recent past, Internet of Things (IoT) plays a significant role in different applications such as health care, industrial sector, defense and research etc.… It provides effective framework in maintaining the security, privacy and reliability of the information in internet environment. Among various applications as mentioned health care place a major role, because security, privacy and reliability of the medical information is maintained in an effective way. Even though, IoT provides the effective protocols for maintaining the information, several intermediate attacks and intruders trying to access the health information which in turn reduce the privacy, security and reliability of the entire health care system in internet environment...
August 31, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30167826/brainsens-body-worn-reconfigurable-architecture-of-integrated-network-sensors
#16
Ruhi Mahajan, Bashir I Morshed, Gavin M Bidelman
Body sensor network (BSN) is a promising human-centric technology to monitor neurophysiological data. We propose a fully-reconfigurable architecture that addresses the major challenges of a heterogenous BSN, such as scalabiliy, modularity and flexibility in deployment. Existing BSNs especially with Electroencephalogarm (EEG) have these limitations mainly due to the use of driven-right-leg (DRL) circuit. We address these limitations by custom-designing DRL-less EEG smart sensing nodes (SSN) for modular and spatially distributed systems...
August 30, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30167799/rapid-low-cost-microfluidic-detection-in-point-of-care-diagnostics
#17
Srikrishnan Pillai Raju, Xiaogang Chu
Clinical diagnostics is a challenge in resource poor areas. Accessibility to diagnostic laboratories is severely curtailed in areas where resources and infrastructure are limited. There is a need to develop low cost and portable devices to promote healthcare services in such places. The development of low cost paper-based microfluidic devices (μPADS) and thread-based devices have the potential to revolutionize point of care diagnostics in poverty-ridden areas. In this report, we describe how frugal technologies can be used for the detection of biological fluids, and the need for developing low cost wireless and wearable technologies to be deployed in resource poor settings...
August 30, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30155797/a-bpmn-based-notation-for-the-representation-of-workflows-in-hospital-protocols
#18
Mateo Ramos-Merino, Luis M Álvarez-Sabucedo, Juan M Santos-Gago, Javier Sanz-Valero
Flowcharts used for hospital protocols have a series of ambiguities and limitations in order to express some types of information. In this article, a notation proposal for flowcharts that partially avoids these problems is presented. This new notation is an adaptation of BPMNE2, an extension of the Business Process Model and Notation (BPMN), which allows direct modelling of procedures that follow the Hazard Analysis and Critical Control Points (HACCP) model. The new notation has been validated in the hospital context, specifically in the field of hazardous drugs (HDs)...
August 29, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30155746/analyzing-relationship-between-patient-and-doctor-in-public-dental-health-using-particle-memetic-multivariable-logistic-regression-analysis-approach-mlra2
#19
Sajith Vellappally, Abdulaziz A Al Kheraif, Sukumaran Anil, Mansour K Assery, K Aswini Kumar, Darshan Devang Divakar
In the developing technology managing patient and doctor relationship and communication process is one of the critical factors because the patient may take high risk surgery, treatment and diagnosis. Due to the importance of the patient-doctor relationship, in this paper investigate the various aspects of relation between the doctor and dental problem related patients. During the analyzing process, data has been collected from adults who are facing dental problems and other dental injuries in which data has been gathered from 423 individuals by conducting interviews...
August 29, 2018: Journal of Medical Systems
https://www.readbyqxmd.com/read/30155565/systematic-review-about-qos-and-qoe-in-telemedicine-and-ehealth-services-and-applications
#20
REVIEW
Isabel de la Torre Díez, Susel Góngora Alonso, Sofiane Hamrioui, Miguel López-Coronado, Eduardo Motta Cruz
The provision of Quality of Service (QoS) and Quality of Experience (QoE) is a mandatory requirement when transmitting telemedicine traffic, due to information relevance to maintain the patient's health. The main objective of this paper is to present a review of existing research works in the literature, referring to QoS and QoE in telemedicine and eHealth applications. The academic databases that were used to perform the searches are Google Scholar, IEEE Xplore, PubMed, Science Direct and Web of Science, taking into account the date of publication from 2008 to the present...
August 29, 2018: Journal of Medical Systems
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