Video surveillance system against anti-terrorism by Using Adaptive Linear Activity Classification (ALAC) Technique
AbstractAutomated human activity analysis has been, and remains, a challenging problem. Security and surveillance are essential issues in today ’s world. Any behavior which is uncommon in occurrence and deviates from customarily understood action could be termed as suspicious. For different application regions, while identifying human exercises, fundamentally three angles are taking in worry for human movement recognition system: Segmenta tion, feature extraction, and activity classification. This model aims at automatic detection of abnormal behavior in surveillance videos. In this proposed work adaptive linear acti...
Source: Journal of Medical Systems - June 29, 2019 Category: Information Technology Source Type: research

Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm
This article investigates the classification of normal and COPD subjects on the basis of respiratory sound analysis using machine learning techniques. Thirty COPD and 25 healthy subject data are recorded. Total of 39 lung sound features and 3 spirometry features are extracted and evaluated. Various parametric and nonparametric tests are conducted to evaluate the relevance of extracted features. Classifiers such as support vector machine (SVM), k-nearest neighbor (KNN), logistic regression (LR), decision tree and discriminant analysis (DA) are used to categorize normal and COPD breath sounds. Classification based on spirome...
Source: Journal of Medical Systems - June 28, 2019 Category: Information Technology Source Type: research

Brain Tumor Detection Using Depth-First Search Tree Segmentation
AbstractWith the advent of image processing technologies, the in-depth portion of human body can be epitomized visually to perceive abnormalities in human anatomy. Image processing is a tool for identifying the substances and obtaining information from them. Medical image processing is a stimulating area to diagnose diseases specifically, brain cancer, breast cancer, liver cancer, neuro- and cardio-diseases, etc. Image segmentation is an act of segregating the images into various parts to identify a particular substance and its margins. Brain tumor is the irregular and intense growth of tissues causing cancer. The most use...
Source: Journal of Medical Systems - June 28, 2019 Category: Information Technology Source Type: research

Improved Deep Learning Network Based in combination with Cost-sensitive Learning for Early Detection of Ovarian Cancer in Color Ultrasound Detecting System
AbstractWith the development of theories and technologies in medical imaging, most of the tumors can be detected in the early stage. However, the nature of ovarian cysts lacks accurate judgement, leading to that many patients with benign nodules still need Fine Needle Aspiration (FNA) biopsies or surgeries, increasing the physical pain and mental pressure of patients as well as unnecessary medical health care costs. Therefore, we present an image diagnosis system for classifying the ovarian cysts in color ultrasound images, which novelly applies the image features fused by both high-level features from deep learning networ...
Source: Journal of Medical Systems - June 28, 2019 Category: Information Technology Source Type: research

A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization
AbstractThe aim of this study is to predict acute coronary syndrome (ACS) requiring revascularization in those patients presenting early-stage angina-like symptom using machine learning algorithms. We obtained data from 2344 ACS patients, who required revascularization and from 3538 non-ACS patients. We analyzed 20 features that are relevant to ACS using standard algorithms, support vector machines and linear discriminant analysis. Based on feature pattern and filter characteristics, we analyzed and extracted a strong prediction function out of the 20 selected features. The obtained prediction functions are relevant showin...
Source: Journal of Medical Systems - June 28, 2019 Category: Information Technology Source Type: research

An Efficient Method for the Detection of Oblique Fissures from Computed Tomography images of Lungs
AbstractDetection of a pulmonary fissure in lungs is difficult due to its anatomical changeability among humans and it is essential in the clinical environment for accurate localizing and treating the lung abnormalities on a lobe level in human lungs. In this work, an algorithmic approach is proposed to detect the lung oblique fissures from lung computed tomography (CT) images. In the preprocessing module of our approach, the lung structures are enhanced using morphological operation and lung images are de-noised using Wiener filter. In the second module, lung regions are segmented using techniques, namely, thresholding an...
Source: Journal of Medical Systems - June 28, 2019 Category: Information Technology Source Type: research

Cervical Cancer Detection and Diagnosis Based on Saliency Single Shot MultiBox Detector in Ultrasonic Elastography
AbstractCervical cancer is increasingly threatening the health of women, then early screening and prevention of cervical cancer is very necessary. A traditional saliency cervical cancer detection method in Ultrasound image, assuming that there is only one salient object, is not conductive to practical application. Their effects are dependent on saliency threshold. Object detection model provides a kind of new solutions for multiple salient objects. Shot multiBox detector can accurately detect multi-objects with different scales simultaneously except for small cervical cancer regions. To overcome this drawback, this paper p...
Source: Journal of Medical Systems - June 27, 2019 Category: Information Technology Source Type: research

K – Shrinkage Function for ECG Signal Denoising
AbstractECG signals is a graphical way of recording the electrical actions of the heart for the various diagnostic purposes. ECG signals are affected by various noises such as Electrode Contact, Baseline Wandering, Motion artifact, Power-line interference, Muscle Contractions, and Electrosurgical noise during data acquisition. Denoising is a technique which is used for removing the noise in ECG signals which keeps the useful information. In this paper, a new category of Wavelet shrinkage methods is proposed. The white Gaussian noise is mixed with the ECGs for simulation and tested with the new class of shrinkage function a...
Source: Journal of Medical Systems - June 27, 2019 Category: Information Technology Source Type: research

A Multimodal Authentication for Biometric Recognition System using Intelligent Hybrid Fusion Techniques
AbstractBiometric Recognition and Authentication is used in many applications for the secured identification of the persons. Several Researches has been carried out to strengthen the security algorithms through which the identification can be done in secured manner. With this objective, a new algorithm called Hybrid Adaptive Fusion(HAF) has been proposed which works on the principle of hybrid fusion of two feature inputs such as Hand geometry and iris of the users. As mentioned, the proposed algorithm uses the novel and hybrid fusion of feature extraction along with the accurate machine learning classifier. Effective Linea...
Source: Journal of Medical Systems - June 27, 2019 Category: Information Technology Source Type: research

A Prototype Patient-Maintained Propofol Sedation System Using Target Controlled Infusion for Primary Lower-Limb Arthroplasty
AbstractEach year, many operations in the UK are performed with the patient awake, without the use of general anaesthesia. These include joint replacement procedures, and in order to reduce patient anxiety, the supervising anaesthetist delivers the sedative propofol intravenously using a target-controlled infusion (TCI) device. However, it is clinically challenging to judge the required effect-site concentration of sedative for an individual patient, resulting in patient care issues related to over or under-sedation. To improve the process, patient-maintained propofol sedation (PMPS), where the patient can request an incre...
Source: Journal of Medical Systems - June 26, 2019 Category: Information Technology Source Type: research

Assessment of users ’ acceptability of a mobile-based embodied conversational agent for the prevention and detection of suicidal behaviour
AbstractThe use of embodied conversational agents in mental health has increased in the last years. Several studies exist describing the benefits and advantages of this technology as a complement to psychotherapeutic interventions for the prevention and treatment of depression, anxiety, or post-traumatic stress disorder, to name a few. A small number of these works implement capabilities in the virtual agent focused on the detection and prevention of suicidality risks. The work presented in this paper describes the development of an embodied conversational agent used as the main interface in HelPath, a mobile-based applica...
Source: Journal of Medical Systems - June 25, 2019 Category: Information Technology Source Type: research

An efficient Gait Dynamics classification method for Neurodegenerative Diseases using Brain signals
AbstractNeurons of the human brain are primarily affected by the Huntington ’s disease (HD), Amyotrophic Lateral Sclerosis (ALS), Parkinson’s disease and so on. Classification of these neurodegenerative diseases (NDD) is clinically important to analyze the destruction of nerve cells. Early diagnosis of NDD’S helps in saving the human life. Based on the report of previ ous studies, motor impairment or human gait cycle is largely affected by the clinical symptoms of NDD. Accurate diagnosis of various neurodegenerative diseases in correct time is very important for early diagnosis of the disease. Diseases ca...
Source: Journal of Medical Systems - June 25, 2019 Category: Information Technology Source Type: research

Communication Channels Used by Women to Contact a Population-Based Breast Cancer Screening Program in Catalonia, Spain
This study describes the communication channels used by women invited for breast cancer screening to contact the program. The study population consisted of 141,684 women, aged 50 –69 years, who were invited during 2015–2016 for screening by the Catalan Breast Cancer Screening Program (Spain). Multiple logistic regression models were performed to assess the association between age, screening history, socioeconomic status and reasons for contacting the program and the out come variables (contact with the program; contact through information and communication technology (ICT) channels). Among the 141,684 wome...
Source: Journal of Medical Systems - June 24, 2019 Category: Information Technology Source Type: research

Collaborative Search Engine for Enhancing Personalized User Search Based on Domain Knowledge
AbstractIn the fast moving world, users cross over large amount of data for their daily life. Due to the misinterpretation of the context, user cannot retrieve the proper context or failure to retrieve the information. The main aim of this paper is to design and implement a personalized search engine which works based on the domain of the user with the specific constraints suggested by the user. In this paper, the proposed system, build a search engine with web content which get information from the document corpus for the domain through the cloud databases. Web search engine re-ranks the generic results based on a ranking...
Source: Journal of Medical Systems - June 23, 2019 Category: Information Technology Source Type: research

Automated Breast Density Measurements From Chest Computed Tomography Scans
AbstractTo develop an automated method for quantifying percent breast density from chest computed tomography (CT) scans. A na ïve Bayesian classifier based on gray-level intensities and spatial relationships was developed on CT scans from 10 patients diagnosed with Hodgkin lymphoma (HL) and imaged as part of routine clinical care. The algorithm was validated on CT scans from 75 additional HL patients. The classifier was d eveloped and validated using a reference dataset with consensus manual segmentation of fibroglandular tissue. Accuracy was evaluated at the pixel-level to examine how well the algorithm identified pi...
Source: Journal of Medical Systems - June 22, 2019 Category: Information Technology Source Type: research

Automatic Labeling of MR Brain Images Through the Hashing Retrieval Based Atlas Forest
AbstractThe multi-atlas method is one of the efficient and common automatic labeling method, which uses the prior information provided by expert-labeled images to guide the labeling of the target. However, most multi-atlas-based methods depend on the registration that may not give the correct information during the label propagation. To address the issue, we designed a new automatic labeling method through the hashing retrieval based atlas forest. The proposed method propagates labels without registration to reduce the errors, and constructs a target-oriented learning model to integrate information among the atlases. This ...
Source: Journal of Medical Systems - June 21, 2019 Category: Information Technology Source Type: research

Medical Image Enhancement by a Bilateral Filter Using Optimization Technique
We examined the proposed technique results with other MR images After the optimal parameters assurance. In order to comprehend the BF parameters selection importance, the results of proposed denoising method is contrasted with other previously used BFs, genetic algorithm (GA), gravitational search algorithm (GSA) using the quality metrics such as signal-to-noise ratio (SNR), structural similarity index metric (SSIM), mean squared error (MSE), and PSNR. The outcome shows that the EOGA method with BF shows good results than the earlier methods in both edge preservation and noise elimination from medical MR images. The experi...
Source: Journal of Medical Systems - June 20, 2019 Category: Information Technology Source Type: research

Reduced Time Compression in Big Data Using MapReduce Approach and Hadoop
AbstractAn exponential rise has been observed in the data volume over the time when considering a real time environment. A phenomenal feature termed as ‘Predictability’ helps in predicting and portraying related data to the user according to their needs. Moreover, classification of Big Data is usually a tedious and lengthy task. The technique of MapReduce Framework performs the data processing that being paralleled by data distribution in small chunks through the clusters. This Map Reduce technique is being proposed which is employed to process heterogeneous data items. Few issues that are being targeted in the...
Source: Journal of Medical Systems - June 19, 2019 Category: Information Technology Source Type: research

Software Suite Training Tool for MSK Exploration and Botulinum Toxin Infiltration Based on Ultrasound Imaging for the Spasticity Treatment
AbstractNowadays, one of the choice techniques for the spasticity treatment is the ultrasound-guided infiltration of Botulinum Toxin, because it is safe and effective. In order to medical professionals can carry out this technique, they need training and education. One of the safest and most time-free ways to facilitate the acquisition of practical medical skills is through simulators. In this paper we present an innovative technological environment, which includes an ultrasound simulator for training in muscle exploration and infiltration. The simulation platform will guide health professionals, with great realism and hig...
Source: Journal of Medical Systems - June 19, 2019 Category: Information Technology Source Type: research

Correction to: The Relative Contribution of High-Gamma Linguistic Processing Stages of Word Production, and Motor Imagery of Articulation in Class Separability of Covert Speech Tasks in EEG Data
The author regrets that the acknowledgment was left out from the original publication. The acknowledgement is written below (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - June 18, 2019 Category: Information Technology Source Type: research

Two-Stage Hybrid Gene Selection Using Mutual Information and Genetic Algorithm for Cancer Data Classification
AbstractCancer is a deadly disease which requires a very complex and costly treatment. Microarray data classification plays an important role in cancer treatment. An efficient gene selection technique to select the more promising genes is necessary for cancer classification. Here, we propose a Two-stage MI-GA Gene Selection algorithm for selecting informative genes in cancer data classification. In the first stage, Mutual Information based gene selection is applied which selects only the genes that have high information related to the cancer. The genes which have high mutual information value are given as input to the seco...
Source: Journal of Medical Systems - June 17, 2019 Category: Information Technology Source Type: research

Construction and Recognition of Functional Brain Network Model Based on Depression
AbstractIn order to make a deep analysis of depression, the construction and recognition of functional brain network model based on depression is mainly studied. Firstly, the relevant information of the subjects is introduced in turn. The data of fMRI (functional magnetic resonance imaging) are pretreated, static and dynamic functional connections are analyzed, statistical analysis and testing are carried out, and then the results are analyzed and discussed. The results show that static functional connectivity provides a new research perspective and means for further understanding the connection patterns of brain functiona...
Source: Journal of Medical Systems - June 17, 2019 Category: Information Technology Source Type: research

A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults – a Focus on Ageing Population and Independent Living
AbstractThis review aims to present current advancements in wearable technologies and IoT-based applications to support independent living. The secondary aim was to investigate the barriers and challenges of wearable sensors and Internet-of-Things (IoT) monitoring solutions for older adults. For this work, we considered falls and activity of daily life (ADLs) for the ageing population (older adults). A total of 327 articles were screened, and 14 articles were selected for this review. This review considered recent studies published between 2015 and 2019. The research articles were selected based on the inclusion and exclus...
Source: Journal of Medical Systems - June 15, 2019 Category: Information Technology Source Type: research

An Intelligent Recurrent Neural Network with Long Short-Term Memory (LSTM) BASED Batch Normalization for Medical Image Denoising
AbstractThe process of denoising of medical images that are corrupted by noise is considered as a long established setback in the signal or image processing domain. An effective system for denoising in order to remove white, salt and also pepper noises by means of merging the Long Short-Term Memory, otherwise known as LSTM, based Batch Normalization and Recurrent Neural Network or RNN techniques have been proposed in this research paper. The images of the lung CT are considered as an input in this particular work. Following this, an effectual batch size is calculated by employing the method of Particle Swarm Optimization (...
Source: Journal of Medical Systems - June 15, 2019 Category: Information Technology Source Type: research

Personal Authentication Mechanism Based on Finger Knuckle Print
AbstractFor authentication purposes, the identification and verification of a user is done by biometric traits like finger print, face, iris and gait, etc. Among the various traits finger print is mostly used in commercial applications for recognizing user ’s identity. The other hand based modalities such as vein, and finger knuckle are gaining importance. This paper proposes a methodology for secure biometrics authentication using Finger Knuckle Print (FKP). The texture patterns from finger knuckle are extracted using Gabor with Exception-Maximizat ion (EM) algorithm and the feature vectors from these texture patter...
Source: Journal of Medical Systems - June 15, 2019 Category: Information Technology Source Type: research

Diagnosis of Thyroid Nodules Based on Local Non-quantitative Multi-Directional Texture Descriptor with Rotation Invariant Characteristics for Ultrasound Image
AbstractThe traditional texture feature lacks the directional analysis of graphical element, so it could not better distinguish the thyroid nodule texture image formed by the rotation of graphical element. A non-quantifiable local feature is adopted in this paper to design a robust texture descriptor so as to enhance the robustness of the texture classification in the rotation and scale changes, which can improve the diagnostic accuracy of thyroid nodules in ultrasound images. First of all, the concept of local feature with rotational symmetry is introduced. It is found that many rotation invariant local features are rotat...
Source: Journal of Medical Systems - June 14, 2019 Category: Information Technology Source Type: research

Wrist-Sensor Pulse Oximeter Enables Prolonged Patient Monitoring in Chronic Lung Diseases
AbstractPulse oximetry is an important diagnostic tool in monitoring and treating both in-patients and ambulatory patients. Modern pulse oximeters exploit different body sites (eg fingertip, forehead or earlobe). All those are bulky and uncomfortable, resulting in low patient compliance. Therefore, we evaluated the accuracy and precision of a wrist-sensor pulse oximeter (Oxitone-1000, Oxitone Medical) vs. the traditional fingertip device. Fifteen healthy volunteers and 23 patients were recruited. The patient group included chronic obstructive pulmonary disease (COPD) (N = 8), asthma (N = 6), sar...
Source: Journal of Medical Systems - June 14, 2019 Category: Information Technology Source Type: research

Controlling a Lower-Leg Exoskeleton Using Voltage and Current Variation Signals of a DC Motor Mounted at the Knee Joint
AbstractPowered exoskeleton technology helps turns dreams of recovering mobility after paralysis into reality. One of the most common problems encountered in the use of powered exoskeletons is the detection of the motion intentions of the user. Many approaches to conquering this problem have been developed using Electromyography (EMG) sensors, Electroencephalography (EEG) sensors, Center of Pressure (COP), and so forth. When a method, such as the surface EMG, is contaminated with noise during acquisition, it is important to process that raw EMG signal. Doing so usually takes time, and time delays in such a system can lead ...
Source: Journal of Medical Systems - June 14, 2019 Category: Information Technology Source Type: research

Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model
AbstractThe use of artificial intelligence in medicine is currently an issue of great interest, especially with regard to the diagnostic or predictive analysis of medical data. In order to achieve the regional medical and public health data analysis through artificial intelligence technologies, spark data analysis is adopted as the research platform for hypertension patients, and artificial intelligence technologies are used to preprocess the data with inconsistency, redundancy, incompleteness, noise and error; Aiming at the unbalanced data sets, the Z-score standard is adopted to convert data into usable form suitable for...
Source: Journal of Medical Systems - June 13, 2019 Category: Information Technology Source Type: research

Promoting Relational Agent for Health Behavior Change in Low and Middle - Income Countries (LMICs): Issues and Approaches
AbstractThe use of contemporary technologies in healthcare systems to improve quality of care and to promote behavioral healthcare outcomes are prevalent in high-income countries. However, low and middle-income countries (LMICs) are not receiving the same advantages of technology, which may be due to inadequate technological infrastructure and financial resources, lack of interest among policy makers and healthcare service providers, lack of skills and capacity among healthcare professionals in using technology based interventions, and resistance of the public to the use of technologies for healthcare or health promotion a...
Source: Journal of Medical Systems - June 12, 2019 Category: Information Technology Source Type: research

The Usability of a Heartbeat Measuring Mobile Phone app: an Observational Study
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - June 12, 2019 Category: Information Technology Source Type: research

An Efficient Melanoma Diagnosis Approach Using Integrated HMF Multi-Atlas Map Based Segmentation
AbstractMelanoma is a life threading disease when it grows outside the corium layer of the skin. Mortality rates of the Melanoma cases are maximum among the skin cancer patients. The cost required for the treatment of advanced melanoma cases is very high and the survival rate is low. Numerous computerized dermoscopy systems are developed based on the combination of shape, texture and color features to facilitate early diagnosis of melanoma. The availability and cost of the dermoscopic imaging system is still an issue. To mitigate this issue, this paper presented an integrated segmentation and Third Dimensional (3D) feature...
Source: Journal of Medical Systems - June 12, 2019 Category: Information Technology Source Type: research

Comparing the Trends of Electronic Health Record Adoption Among Hospitals of the United States and Japan
AbstractThe goal of this study is to examine the trends of Electronic Health Record (EHR) adoption among hospitals in Japan compared to those in the United States. Japan ’s nationwide survey of hospitals was utilized to extract the EHR adoption rates among Japanese hospitals. Comparable datasets from the Healthcare Information and Management System Society (HIMSS) and the American Hospital Association (AHA) were utilized to extract EHR adoption rates among U.S. ho spitals. The trends of EHR adoption were stratified and analyzed by hospital size and hospital ownership status. As of 2014, the U.S. hospitals had a wider...
Source: Journal of Medical Systems - June 11, 2019 Category: Information Technology Source Type: research

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure
This study introduces a comprehensive and inclusive review on the prioritisation of patients with MCDs in telemedicine applications. Furthermore, it presents the challenges and open issues regarding patient prioritisation in telemedicine. The findings of this study are as follows: (1) The limitations and problems of existing patients’ prioritisation with MCDs are presented and emphasised. (2) Based on the analysis of the academic literature, an accurate solution for remote prioritisation in a large scale of patients with MCDs was not presented. (3) There is an essential need to produce a new multiple-criteria decisio...
Source: Journal of Medical Systems - June 11, 2019 Category: Information Technology Source Type: research

Hybrid Laplacian Gaussian Based Speckle Removal in SAR Image Processing
AbstractSynthetic Aperture Radar (SAR) images are plays a significant role in different application fields like airborne, civilian and to observe various scenarios over the horizon. Unfortunately, SAR images are heavily affected by speckle noise. The speckle degrades the image quality which makes interpretation of images harder. Therefore suppression of speckle is important for further processing. In this paper a new method is proposed for despeckling of SAR image comprises of two stages. First stage is despeckling process which is based on directional smoothing and hard thresholding technique and second stage is image enh...
Source: Journal of Medical Systems - June 11, 2019 Category: Information Technology Source Type: research

DRRNet: Dense Residual Refine Networks for Automatic Brain Tumor Segmentation
AbstractGlioma is one of the most common and aggressive brain tumors. Segmentation and subsequent quantitative analysis of brain tumor MRI are routine and crucial for treatment. Due to the time-consuming and tedious manual segmentation, automatic segmentation methods are required for accurate and timely treatment. Recently, segmentation methods based on deep learning are popular because of their self-learning and generalization ability. Therefore, we propose a novel automatic 3D CNN-based method for brain tumor segmentation. In order to better capture the contextual information, we design the network architecture based on ...
Source: Journal of Medical Systems - June 8, 2019 Category: Information Technology Source Type: research

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment
This study mainly concentrates on common and plantar warts. There are various treatment methods for this disease, including the popular immunotherapy and cryotherapy methods. Manual evaluation of the WD treatment response is challenging. Furthermore, traditional machine learning methods are not robust enough in WD classification as they cannot deal effectively with small number of attributes. This study proposes a new evolutionary-based computer-aided diagnosis (CAD) system using machine learning to classify the WD treatment response. The main architecture of our CAD system is based on the combination of improved adaptive ...
Source: Journal of Medical Systems - June 7, 2019 Category: Information Technology Source Type: research

Mobile-Based Patient Monitoring Systems: A Prioritisation Framework Using Multi-Criteria Decision-Making Techniques
This study presents a prioritisation framework for mobile patient monitoring systems (MPMSs) based on multicriteria analysis in architectural components. This framework selects the most appropriate system amongst available MPMSs for the telemedicine environment. Prioritisation of MPMSs is a challenging task due to (a) multiple evaluation criteria, (b) importance of criteria, (c) data variation and (d) unmeasurable values. The secondary data presented as the decision evaluation matrix include six systems (namely, Yale –National Aeronautics and Space Administration (NASA), advanced health and disaster aid network, pers...
Source: Journal of Medical Systems - June 6, 2019 Category: Information Technology Source Type: research

An efficient routing protocol based on polar tracing function for underwater wireless sensor networks for mobility health monitoring system application
AbstractIn recent times, Underwater Wireless Sensor Networks (UWSNs) have involved various applications in oceanographic data collection, pollution revealing, environmental monitoring, offshore exploration, disaster prevention, military surveillance, etc. nevertheless the unique characterization of UWSNs are designed for the grid division on geographical system with polar tracing function to attain the shortest- path and minimizing the energy consumption for end – to – end transmission. In this paper, we proposed a Grid Division Polar Tracing (GDPT) routing protocol function using greedy algorithm for reducing ...
Source: Journal of Medical Systems - June 6, 2019 Category: Information Technology Source Type: research

Post Ambulatory Discharge Follow-up Using Automated Text Messaging
AbstractAmbulatory surgery has grown to be the most common procedure in developed countries. Efficient quality of care and safety often require calling patient at day one after outpatient surgery to check patient ’s recovery and search for complications. This increasing flow in same day surgery centres motivates the use of automatic systems to contact patients. The overall objective of this study was to evaluate automated software sending text messages (TM) to patients at day 1 after ambulatory surgery com pared to classical phone calls. This prospective study took place in Rennes Teaching Hospital, France, from June...
Source: Journal of Medical Systems - June 6, 2019 Category: Information Technology Source Type: research

Hyperspectral Image Features Classification Using Deep Learning Recurrent Neural Networks
AbstractThe implementation of Deep learning (DL) techniques, Object detection and classification has achieved remarkable results in remote sensing application. Deep learning with Recurrent Neural Network (RNN) technique on hyper-spectral data has been presented here. The only model which can analyze the hyper-spectral pixels as the sequence of information and also to identify the additional information categories through network reasoning is RNN model. This is first time that the framework of RNN has been introduced for the classification of hyper spectral Image. An activation function is proposed by the DL-RNN and also th...
Source: Journal of Medical Systems - June 4, 2019 Category: Information Technology Source Type: research

Diagnosis of Delusion and Hallucination from Schizophrenia Patient Using RADWT
AbstractIn this paper, early detection of schizophrenia types such as hallucination and delusion propose through the high Q-factor of RADWT in EEG signal acquired during the cognitive task of the patient. The earlier diagnose obtains from the energy distribution of the EEG signal in the high resolution via optimum tuning in dilation factor,which influences the Q-factor, redundancy and ringing in the EEG signal. The early detection of type of schizophrenia prevents the illness progression and lifelong disease. In existing clinical trial, the psych clinician diagnose only the schizophrenia disease through the standard DSM sc...
Source: Journal of Medical Systems - June 3, 2019 Category: Information Technology Source Type: research

Multiclass Benchmarking Framework for Automated Acute Leukaemia Detection and Classification Based on BWM and Group-VIKOR
This study structured a decision matrix (DM) based on the crossover of 2 groups of multi-evaluation criteria and 22 multiclass classification models. The matrix was then evaluated with datasets comprising 72 samples of acute leukaemia, which include 5327 gens. Subsequently, multi-criteria decision-making (MCDM) techniques are used in the benchmarking and ranking of multiclass classification models. The MCDM used techniques that include the integrated BWM and VIKOR. BWM has been applied for the weight calculations of evaluation criteria, whereas VIKOR has been used to benchmark and rank classification models. VIKOR has also...
Source: Journal of Medical Systems - June 1, 2019 Category: Information Technology Source Type: research

Feature Selection Using Multi-Objective Modified Genetic Algorithm in Multimodal Biometric System
AbstractToday the multimodal biometric system has become a major area of study that is identified with applications of a large size in a recognition system. The feature selection is probably found to be the best factor to be optimized and is an on-going challenge in the midst of the optimization problems in the human recognition system. The feature selection aspires to bring down the number of the features, remove all types of redundant data and noise which result in a very high rate of recognition. The step further effects on the human recognition system and its performance. The work further presents a newer biometric sys...
Source: Journal of Medical Systems - June 1, 2019 Category: Information Technology Source Type: research

Measuring QoE of a Teleconsultation App in Mental Health Using a Pentagram Model
AbstractThe QoE measurement has become a novel theme today. To achieve a quality service and minimize the negative impact that traffic on network can cause, it ’s very important to manage the devices that intervene in this service. Hence, the QoE evaluation allows obtaining benefits both customers and service providers. The main objective of this paper is to measure QoE of a teleconsultation application in Mental Health named Psiconnect, using an approac h based on pentagram model. For the QoE evaluation of Psiconnect application we used the pentagram model based on the measurement of 5 factors (integrality, retainab...
Source: Journal of Medical Systems - June 1, 2019 Category: Information Technology Source Type: research

Multi-Class Neural Networks to Predict Lung Cancer
AbstractLung Cancer is the leading cause of death among all the cancers ’ in today’s world. The survival rate of the patients is 85% if the cancer can be diagnosed during Stage 1. Mining of the patient records can help in diagnosing cancer during Stage 1. Using a multi-class neural networks helps to identify the disease during its stage 1 itself. The implementation of multi-class neural networks has yielded an accuracy of 100%. The model created using the neural networks approach helps to identify lung cancer during Stage 1 itself, thus the survival rate of the patients can be increased. This model can serve as...
Source: Journal of Medical Systems - May 31, 2019 Category: Information Technology Source Type: research

Two-Steps Coronary Artery Segmentation Algorithm Based on Improved Level Set Model in Combination with Weighted Shape-Prior Constraints
AbstractDue to the complex topological structure of the coronary artery and the uneven distribution of the contrast agent, the angiography images are inevitably blurred and has low contrast, which causes great difficulty in process of segmentation. For this problem, a two-steps segmentation algorithm based on Hessian matrix and level set is proposed in this paper. Firstly, potential blood vessels of coronary images are preliminary extracted via Hessian matrix eigenvalues feature vectors of the geometric features and the response function. Then a novel regularization and area constraint is introduced into the local data ene...
Source: Journal of Medical Systems - May 29, 2019 Category: Information Technology Source Type: research

Mobile Patient Monitoring Systems from a Benchmarking Aspect: Challenges, Open Issues and Recommended Solutions
AbstractThis paper presents comprehensive insights into mobile patient monitoring systems (MPMSs) from evaluation and benchmarking aspects on the basis of two critical directions. The current evaluation criteria of MPMSs based on the architectural components of MPMSs and possible solutions are discussed. This review highlights four serious issues, namely, multiple evaluation criteria, criterion importance, unmeasurable criteria and data variation, in MPMS benchmarking. Multicriteria decision-making (MCDM) analysis techniques are proposed as effective solutions to solve these issues from a methodological aspect. This method...
Source: Journal of Medical Systems - May 29, 2019 Category: Information Technology Source Type: research

Detection of Hard Exudates Using Evolutionary Feature Selection in Retinal Fundus Images
AbstractIt is one of the most vital symptoms of DR (diabetic retinopathy) called hard exudates (HE), which are the leakage of cellular debris and lipoprotein from damaged blood vessels of retina. The vision loss is avoided if the detection of HE in the beginning times. Therefore, a novel method is proposed to detect hard exudates automatically. Previously, for exudate prediction supervised and unsupervised methods have been used. Fault detection of hard exudates, miss classification rate will affect these models because of the characteristics like, similarities with other components in the retinal image and intra variation...
Source: Journal of Medical Systems - May 29, 2019 Category: Information Technology Source Type: research

Enhanced Monarchy Butterfly Optimization Technique for effective breast cancer diagnosis
AbstractBreast cancer is the biggest curse for the women society in the world since the survival factor of the infected patients is ensured only when it is detected at the early localized stage. The majority of the intelligent schemes proposed for detecting the breast cancer relies on the human skill that helps in trustworthy determination of essential pattern that confirms the existence of the infected cancer cells for deciding upon the course of treatment. Further, most of the research works contributed in the literature for detecting breast cancer necessitates huge time and laborinvolved that increases the time of diagn...
Source: Journal of Medical Systems - May 29, 2019 Category: Information Technology Source Type: research