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Automated emergency paramedical response system
AbstractWith the evolution of technology, the fields of medicine and science have also witnessed numerous advancements. In medical emergencies, a few minutes can be the difference between life and death. The obstacles encountered while providing medical assistance can be eliminated by ensuring quicker care and accessible systems. To this effect, the proposed end-to-end system —automated emergency paramedical response system (AEPRS) is semi-autonomous and utilizes aerial distribution by drones, for providing medical supplies on site in cases of paramedical emergencies as well as for patients with a standing history of dis...
Source: Health Information Science and Systems - November 13, 2018 Category: Information Technology Source Type: research

Centroid tracking and velocity measurement of white blood cell in video
AbstractAutomated blood cells tracking system has a vital role as the tracking process reflects the blood cell characteristics and indicates several diseases. Blood cells tracking is challenging due to the non-rigid shapes of the blood cells, and the variability in their videos along with the existence of different moving objects in the blood. To tackle such challenges, we proposed a green star based centroid (GSBC) moving white blood cell (WBC) tracking algorithm to measure its velocity and draw its trajectory. The proposed cell tracking system consists of two stages, namely WBC detection and blob analysis, and fine tunin...
Source: Health Information Science and Systems - November 1, 2018 Category: Information Technology Source Type: research

Ensemble of subspace discriminant classifiers for schistosomal liver fibrosis staging in mice microscopic images
AbstractSchistosomiasis is one of the dangerous parasitic diseases that affect the liver tissues leading to liver fibrosis. Such disease has several levels, which indicate the degree of fibrosis severity. To assess the fibrosis level for diagnosis and treatment, the microscopic images of the liver tissues were examined at their different stages. In the present work, an automated staging method is proposed to classify the statistical extracted features from each fibrosis stage using an ensemble classifier, namely the subspace ensemble using linear discriminant learning scheme. The performance of the subspace/discriminant en...
Source: Health Information Science and Systems - November 1, 2018 Category: Information Technology Source Type: research

Urate crystal deposition, prevention and various diagnosis techniques of GOUT arthritis disease: a comprehensive review
AbstractGout is described as difficult in joint sore, uttermost ordinarily in the principal metatarsophalangeal joint, attend from formation of urate monosodium crystallization in a joint space. Analysis might be affirmed by recognizable proof of urate monosodium precious stones in synovial liquid of the influenced joint. There has been expanded enthusiasm for gout in common scholarly and clinical practice settings. The pervasiveness of both hyperuricemia and gout has ascended as most recent decade of time in created nations and in this way weight of gout as expanded. The relationship of hyperuricemia and gout with cardio ...
Source: Health Information Science and Systems - October 8, 2018 Category: Information Technology Source Type: research

Transfer learning based histopathologic image classification for breast cancer detection
AbstractBreast cancer is one of the leading cancer type among women in worldwide. Many breast cancer patients die every year due to the late diagnosis and treatment. Thus, in recent years, early breast cancer detection systems based on patient ’s imagery are in demand. Deep learning attracts many researchers recently and many computer vision applications have come out in various environments. Convolutional neural network (CNN) which is known as deep learning architecture, has achieved impressive results in many applications. CNNs genera lly suffer from tuning a huge number of parameters which bring a great amount of comp...
Source: Health Information Science and Systems - September 28, 2018 Category: Information Technology Source Type: research

Evolution of blood pressure control identification in lieu of post-surgery diabetic patients: a review
AbstractThe blood pressure disparity is the major problem in post-operative surgery especially diabetic patients, because there is substantial interrelation between diabetic and hypertension and this abnormality creates complicated problems and needs to be controlled by continuous monitoring based on the severity. To overcome this problem, implementation of automatic drug infusion is required for critical patients, by which workload of the clinical staffs are reduced. Most commonly the sodium nitroprusside (SNP) is used to reduce the blood pressure in fast action based on the prescribed level. In this paper three different...
Source: Health Information Science and Systems - September 25, 2018 Category: Information Technology Source Type: research

Cloud based framework for diagnosis of diabetes mellitus using K-means clustering
AbstractDiabetes mellitus is a serious health problem affecting the entire population all over the world for many decades. It is a group of metabolic disorder characterized by chronic disease which occurs due to high blood sugar, unhealthy foods, lack of physical activity and also hereditary. The sorts of diabetes mellitus are type1, type2 and gestational diabetes. The type1 appears during childhood and type2 diabetes develop at any age, mostly affects older than 40. The gestational diabetes occurs for pregnant women. According to the statistical report of WHO 79% of deaths occurred in people under the age of 60, due to di...
Source: Health Information Science and Systems - September 24, 2018 Category: Information Technology Source Type: research

A study on medical Internet of Things and Big Data in personalized healthcare system
AbstractPersonalized healthcare systems deliver e-health services to fulfill the medical and assistive needs of the aging population. Internet of Things (IoT) is a significant advancement in the Big Data era, which supports many real-time engineering applications through enhanced services. Analytics over data streams from IoT has become a source of user data for the healthcare systems to discover new information, predict early detection, and makes decision over the critical situation for the improvement of the quality of life. In this paper, we have made a detailed study on the recent emerging technologies in the personali...
Source: Health Information Science and Systems - September 20, 2018 Category: Information Technology Source Type: research

Features based on variational mode decomposition for identification of neuromuscular disorder using EMG signals
AbstractNeuromuscular disorder is a muscular and nervous disorder resulting in muscular weakness and progressively damages nervous control, such as amyotrophic lateral sclerosis (ALS) and myopathy (MYO). Its diagnosis can be possible by classification of ALS, MYO, and normal electromyogram (EMG) signals. In this paper, an effective method based on variational mode decomposition (VMD) is proposed for identification of neuromuscular disorder of EMG signals. VMD is an adaptive signal decomposition which decomposes EMG signals nonrecursively into band-limited functions or modes. These modes are used for extraction of spectral ...
Source: Health Information Science and Systems - September 20, 2018 Category: Information Technology Source Type: research

Survey of energy drink consumption and adverse health effects in Lebanon
AbstractConsumption of energy is a national and international phenomenon that showed increase in market spread and profits from 1990 and made the emergence of many brands. Energy drinks are aggressively marketed with the claim that these products give an energy boost to improve physical and cognitive performance. However, studies supporting these claims are limited. The study examines the new phenomena of energy drinks among university students in Lebanon, based on the participants ’ personnel characteristics, university grade and the impact on health status. The study also determined whether high frequency of consumptio...
Source: Health Information Science and Systems - September 20, 2018 Category: Information Technology Source Type: research