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Journal of Medical Systems

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https://www.readbyqxmd.com/read/29242996/personalized%C3%A2-health-monitoring%C3%A2-system-for-managing-well-being-in-rural-areas
#1
Prema Nedungadi, Akshay Jayakumar, Raghu Raman
Rural India lacks easy access to health practitioners and medical centers, depending instead on community health workers. In these areas, common ailments that are easy to manage with medicines, often lead to medical escalations and even fatalities due to lack of awareness and delayed diagnosis. The introduction of wearable health devices has made it easier to monitor health conditions and to connect doctors and patients in urban areas. However, existing initiatives have not succeeded in providing adequate health monitoring to rural and low-literate patients, as current methods are expensive, require consistent connectivity and expect literate users...
December 14, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29222728/fetal-electrocardiogram-extraction-and-analysis-using-adaptive-noise-cancellation-and-wavelet-transformation-techniques
#2
P Sutha, V E Jayanthi
Birth defect-related demise is mainly due to congenital heart defects. In the earlier stage of pregnancy, fetus problem can be identified by finding information about the fetus to avoid stillbirths. The gold standard used to monitor the health status of the fetus is by Cardiotachography(CTG), cannot be used for long durations and continuous monitoring. There is a need for continuous and long duration monitoring of fetal ECG signals to study the progressive health status of the fetus using portable devices. The non-invasive method of electrocardiogram recording is one of the best method used to diagnose fetal cardiac problem rather than the invasive methods...
December 8, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29218604/author-correction-to-extreme-learning-machine-framework-for-risk-stratification-of-fatty-liver-disease-using-ultrasound-tissue-characterization
#3
Venkatanareshbabu Kuppili, Mainak Biswas, Aswini Sreekumar, Harman S Suri, Luca Saba, Damodar Reddy Edla, Rui Tato Marinho, J Miguel Sanches, Jasjit S Suri
The original version of this article unfortunately contained a mistake. The family name of Rui Tato Marinho was incorrectly spelled as Marinhoe.
December 7, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29218460/a-novel-adaptive-deformable-model-for-automated-optic-disc-and-cup-segmentation-to-aid-glaucoma-diagnosis
#4
Muhammad Salman Haleem, Liangxiu Han, Jano van Hemert, Baihua Li, Alan Fleming, Louis R Pasquale, Brian J Song
This paper proposes a novel Adaptive Region-based Edge Smoothing Model (ARESM) for automatic boundary detection of optic disc and cup to aid automatic glaucoma diagnosis. The novelty of our approach consists of two aspects: 1) automatic detection of initial optimum object boundary based on a Region Classification Model (RCM) in a pixel-level multidimensional feature space; 2) an Adaptive Edge Smoothing Update model (AESU) of contour points (e.g. misclassified or irregular points) based on iterative force field calculations with contours obtained from the RCM by minimising energy function (an approach that does not require predefined geometric templates to guide auto-segmentation)...
December 7, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29218420/an-improved-pathological-brain-detection-system-based-on-two-dimensional-pca-and-evolutionary-extreme-learning-machine
#5
Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Pathological brain detection has made notable stride in the past years, as a consequence many pathological brain detection systems (PBDSs) have been proposed. But, the accuracy of these systems still needs significant improvement in order to meet the necessity of real world diagnostic situations. In this paper, an efficient PBDS based on MR images is proposed that markedly improves the recent results. The proposed system makes use of contrast limited adaptive histogram equalization (CLAHE) to enhance the quality of the input MR images...
December 7, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29204890/dna-cryptography-and-deep-learning-using-genetic-algorithm-with-nw-algorithm-for-key-generation
#6
Shruti Kalsi, Harleen Kaur, Victor Chang
Cryptography is not only a science of applying complex mathematics and logic to design strong methods to hide data called as encryption, but also to retrieve the original data back, called decryption. The purpose of cryptography is to transmit a message between a sender and receiver such that an eavesdropper is unable to comprehend it. To accomplish this, not only we need a strong algorithm, but a strong key and a strong concept for encryption and decryption process. We have introduced a concept of DNA Deep Learning Cryptography which is defined as a technique of concealing data in terms of DNA sequence and deep learning...
December 5, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29196866/reducing-bottlenecks-to-improve-the-efficiency-of-the-lung-cancer-care-delivery-process-a-process-engineering-modeling-approach-to-patient-centered-care
#7
Feng Ju, Hyo Kyung Lee, Xinhua Yu, Nicholas R Faris, Fedoria Rugless, Shan Jiang, Jingshan Li, Raymond U Osarogiagbon
The process of lung cancer care from initial lesion detection to treatment is complex, involving multiple steps, each introducing the potential for substantial delays. Identifying the steps with the greatest delays enables a focused effort to improve the timeliness of care-delivery, without sacrificing quality. We retrospectively reviewed clinical events from initial detection, through histologic diagnosis, radiologic and invasive staging, and medical clearance, to surgery for all patients who had an attempted resection of a suspected lung cancer in a community healthcare system...
December 1, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29188446/ichrcloud-web-mobile-based-child-health-imprints-for-smart-healthcare
#8
Harpreet Singh, Raghuram Mallaiah, Gautam Yadav, Nitin Verma, Ashu Sawhney, Samir K Brahmachari
Reducing child mortality with quality care is the prime-most concern of all nations. Thus in current IT era, our healthcare industry needs to focus on adapting information technology in healthcare services. Barring few preliminary attempts to digitalize basic hospital administrative and clinical functions, even today in India, child health and vaccination records are still maintained as paper-based records. Also, error in manually plotting the parameters in growth charts results in missed opportunities for early detection of growth disorders in children...
November 29, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29188389/performance-evaluation-of-time-frequency-distributions-for-ecg-signal-analysis
#9
Ahmed Faeq Hussein, Shaiful Jahari Hashim, Ahmad Fazli Abdul Aziz, Fakhrul Zaman Rokhani, Wan Azizun Wan Adnan
The non-stationary and multi-frequency nature of biomedical signal activities makes the use of time-frequency distributions (TFDs) for analysis inevitable. Time-frequency analysis provides simultaneous interpretations in both time and frequency domain enabling comprehensive explanation, presentation and interpretation of electrocardiogram (ECG) signals. The diversity of TFDs and specific properties for each type show the need to determine the best TFD for ECG analysis. In this study, a performance evaluation of five TFDs in term of ECG abnormality detection is presented...
November 29, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29185058/content-based-image-retrieval-for-lung-nodule-classification-using-texture-features-and-learned-distance-metric
#10
Guohui Wei, Hui Cao, He Ma, Shouliang Qi, Wei Qian, Zhiqing Ma
Similarity measurement of lung nodules is a critical component in content-based image retrieval (CBIR), which can be useful in differentiating between benign and malignant lung nodules on computer tomography (CT). This paper proposes a new two-step CBIR scheme (TSCBIR) for computer-aided diagnosis of lung nodules. Two similarity metrics, semantic relevance and visual similarity, are introduced to measure the similarity of different nodules. The first step is to search for K most similar reference ROIs for each queried ROI with the semantic relevance metric...
November 29, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29181590/using-telemedicine-for-tuberculosis-care-management-a-three-county-inter-municipal-approach
#11
Brenden A Bedard, Mary Younge, Paul A Pettit, Michael Mendoza
No abstract text is available yet for this article.
November 27, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29177558/on-applicability-of-tunable-filter-bank-based-feature-for-ear-biometrics-a-study-from-constrained-to-unconstrained
#12
Debbrota Paul Chowdhury, Sambit Bakshi, Guodong Guo, Pankaj Kumar Sa
In this paper, an overall framework has been presented for person verification using ear biometric which uses tunable filter bank as local feature extractor. The tunable filter bank, based on a half-band polynomial of 14th order, extracts distinct features from ear images maintaining its frequency selectivity property. To advocate the applicability of tunable filter bank on ear biometrics, recognition test has been performed on available constrained databases like AMI, WPUT, IITD and unconstrained database like UERC...
November 27, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29177790/computational-intelligence-for-medical-imaging-simulations
#13
Victor Chang
This paper describes how to simulate medical imaging by computational intelligence to explore areas that cannot be easily achieved by traditional ways, including genes and proteins simulations related to cancer development and immunity. This paper has presented simulations and virtual inspections of BIRC3, BIRC6, CCL4, KLKB1 and CYP2A6 with their outputs and explanations, as well as brain segment intensity due to dancing. Our proposed MapReduce framework with the fusion algorithm can simulate medical imaging...
November 25, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29177600/pagers-smartphones-and-hipaa-finding-the-best-solution-for-electronic-communication-of-protected-health-information
#14
Robert E Freundlich, Katherine L Freundlich, Brian C Drolet
Electronic communication is a topic that applies broadly to the professional activities of every physician and the pager has been the gold standard of communication for decades. We believe that this is a dated technology that is holding clinicians back from better, more efficient alternatives, particularly smartphones. In this manuscript, we examine the paradoxical reliance on pagers in academic medicine, at a time when the use of smartphones and text messaging is the subject of intense scrutiny with respect to its standing under the Health Insurance Portability and Accountability Act (HIPAA)...
November 25, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29167999/integrated-analysis-of-healthcare-efficiency-a-systematic-review
#15
Victor John M Cantor, Kim Leng Poh
Data Envelopment Analysis (DEA) has been used as a performance measurement tool in efficiency assessment of healthcare systems. However, over the years, researchers and health practitioners presented the theoretical and methodological limitations of DEA that limits the full view of healthcare efficiency. To address these limitations, a commonly used strategy is to integrate other statistical methods and techniques with DEA to provide better efficiency evaluation. This paper reviews 57 studies with DEA applications in the healthcare industry to illustrate the integrated analysis of healthcare efficiency...
November 22, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29164347/an-epic-switch-preparing-for-an-electronic-health-record-transition-at-vanderbilt-university-medical-center
#16
EDITORIAL
Kevin B Johnson, Jesse M Ehrenfeld
No abstract text is available yet for this article.
November 21, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29164340/correlation-filters-for-detection-of-cellular-nuclei-in-histopathology-images
#17
Asif Ahmad, Amina Asif, Nasir Rajpoot, Muhammad Arif, Fayyaz Ul Amir Afsar Minhas
Nuclei detection in histology images is an essential part of computer aided diagnosis of cancers and tumors. It is a challenging task due to diverse and complicated structures of cells. In this work, we present an automated technique for detection of cellular nuclei in hematoxylin and eosin stained histopathology images. Our proposed approach is based on kernelized correlation filters. Correlation filters have been widely used in object detection and tracking applications but their strength has not been explored in the medical imaging domain up till now...
November 21, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29159719/effect-of-a-real-time-electronic-dashboard-on-a-rapid-response-system
#18
Grant S Fletcher, Barry A Aaronson, Andrew A White, Reena Julka
A rapid response system (RRS) may have limited effectiveness when inpatient providers fail to recognize signs of early patient decompensation. We evaluated the impact of an electronic medical record (EMR)-based alerting dashboard on outcomes associated with RRS activation. We used a repeated treatment study in which the dashboard display was successively turned on and off each week for ten 2-week cycles over a 20-week period on the inpatient acute care wards of an academic medical center. The Rapid Response Team (RRT) dashboard displayed all hospital patients in a single view ranked by severity score, updated in real time...
November 20, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29159706/alcoholism-detection-by-data-augmentation-and-convolutional-neural-network-with-stochastic-pooling
#19
Shui-Hua Wang, Yi-Ding Lv, Yuxiu Sui, Shuai Liu, Su-Jing Wang, Yu-Dong Zhang
Alcohol use disorder (AUD) is an important brain disease. It alters the brain structure. Recently, scholars tend to use computer vision based techniques to detect AUD. We collected 235 subjects, 114 alcoholic and 121 non-alcoholic. Among the 235 image, 100 images were used as training set, and data augmentation method was used. The rest 135 images were used as test set. Further, we chose the latest powerful technique-convolutional neural network (CNN) based on convolutional layer, rectified linear unit layer, pooling layer, fully connected layer, and softmax layer...
November 17, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29159698/analysis-of-biosignals-during-immersion-in-computer-games
#20
Mina Yeo, Seokbeen Lim, Gilwon Yoon
The number of computer game users is increasing as computers and various IT devices in connection with the Internet are commonplace in all ages. In this research, in order to find the relevance of behavioral activity and its associated biosignal, biosignal changes before and after as well as during computer games were measured and analyzed for 31 subjects. For this purpose, a device to measure electrocardiogram, photoplethysmogram and skin temperature was developed such that the effect of motion artifacts could be minimized...
November 17, 2017: Journal of Medical Systems
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