Predicting the success of wart treatment methods using decision tree based fuzzy informative images
This study provides a method for simple and more accurate interpretation of rules for medical experts. The success of treatment methods is now predictable as a percentage. (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - July 18, 2018 Category: Biomedical Engineering Source Type: research

The ADHD effect on the actions obtained from the EEG signals
In this study, we considered the EEG signals as a biotic process according to these opposites and examined the ADHD effect on the brain activity by defining the dual sets of transitions between states in the complement plots of quantized EEG segments. The results of this study generally indicated that the complement plots of quantized EEG signal have a surprising regularity similar to the Mandala patterns compared to the chaotic processes. These results also indicated that the probability of occurrence of dual sets in the complement plots of ADHD children was averagely different (p 
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Bayesian HCS-based multi-SVNN: A classification approach for brain tumor segmentation and classification using Bayesian fuzzy clustering
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): A. Ratna Raju, P. Suresh, R. Rajeswara RaoAbstractBrain tumor segmentation and classification is the interesting area for differentiating the tumerous and the non-tumerous cells in the brain and to classify the tumerous cells for identifying its level. The conventional methods lack the automatic classification and they consumed huge time and are ineffective in decision-making. To overcome the challenges faced by the conventional methods, this paper proposes the automatic method of classification using the Harmony-Crow Sear...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Object detection based on deep learning for urine sediment examination
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Yixiong Liang, Zhihong Tang, Meng Yan, Jianfeng LiuAbstractUrine sediment examination (USE) is an important topic in kidney disease analysis and it is often the prerequisite for subsequent diagnostic procedures. We propose DFPN(Feature Pyramid Network with DenseNet) method to overcome the problem of class confusion in the USE images that it is hard to be solved by baseline model which is the state-of-the-art object detection model FPN with RoIAlign pooling. We explored the importance of two parts of baseline model for the ...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Representation learning-based unsupervised domain adaptation for classification of breast cancer histopathology images
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Pendar Alirezazadeh, Behzad Hejrati, Alireza Monsef-Esfahani, Abdolhossein FathiAbstractBreast cancer has high incidence rate compared to the other cancers among women. This disease leads to die if it does not diagnosis early. Fortunately, by means of modern imaging procedure such as MRI, mammography, thermography, etc., and computer systems, it is possible to diagnose all kind of breast cancers in a short time. One type of BC images is histology images. They are obtained from the entire cut-off texture by use of digital c...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Discriminant analysis of neural style representations for breast lesion classification in ultrasound
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Michał ByraAbstractUltrasound imaging is widely used for breast lesion differentiation. In this paper we propose a neural transfer learning method for breast lesion classification in ultrasound. As reported in several papers, the content and the style of a particular image can be separated with a convolutional neural network. The style, coded by the Gram matrix, can be used to perform neural transfer of artistic style. In this paper we extract the neural style representations of malignant and benign breast lesions using t...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Automatic detection of tuberculosis bacilli from microscopic sputum smear images using deep learning methods
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Rani Oomman Panicker, Kaushik S. Kalmady, Jeny Rajan, M.K. SabuAbstractAn automatic method for the detection of Tuberculosis (TB) bacilli from microscopic sputum smear images is presented in this paper. According to WHO, TB is the ninth leading cause of death all over the world. There are various techniques to diagnose TB, of which conventional microscopic sputum smear examination is considered to be the gold standard. However, the aforementioned method of diagnosis is time intensive and error prone, even in experienced ha...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Estimation of severity level of non-proliferative diabetic retinopathy for clinical aid
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Jaskirat Kaur, Deepti MittalAbstractDiabetic retinopathy, a symptomless complication of diabetes, is one of the significant causes of vision impairment in the world. The early detection and diagnosis can reduce the occurrence of severe vision loss due to diabetic retinopathy. The diagnosis of diabetic retinopathy depends on the reliable detection and classification of bright and dark lesions present in retinal fundus images. Therefore, in this work, reliable segmentation of lesions has been performed using iterative cluste...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Editorial Board
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Comparative assessment of texture features for the identification of cancer in ultrasound images: a review
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Oliver Faust, U. Rajendra Acharya, Kristen M. Meiburger, Filippo Molinari, Joel E.W. Koh, Chai Hong Yeong, Pailin Kongmebhol, Kwan Hoong NgAbstractIn this paper, we review the use of texture features for cancer detection in Ultrasound (US) images of breast, prostate, thyroid, ovaries and liver for Computer Aided Diagnosis (CAD) systems. This paper shows that texture features are a valuable tool to extract diagnostically relevant information from US images. This information helps practitioners to discriminate normal from ab...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Review on plantar data analysis for disease diagnosis
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Julian Andres Ramirez-Bautista, Antonio Hernández-Zavala, Silvia L. Chaparro-Cárdenas, Jorge A. Huerta-RuelasAbstractForce distribution on foot surface allows to understand the human mechanical behavior, providing detailed information for the evaluation of foot alterations. In diagnosis for diseases related to plantar pathologies, there are many devices for plantar pressure measurement, and corresponding algorithms for data analyzing, providing medical tools for assisting in treatment, early detection, and th...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Entropies for automated detection of coronary artery disease using ECG signals: A review
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Udyavara Rajendra Acharya, Yuki Hagiwara, Joel En Wei Koh, Shu Lih Oh, Jen Hong Tan, Muhammad Adam, Ru San TanAbstractCoronary artery disease (CAD) develops when coronary arteries are unable to supply oxygen-rich blood to the heart due to the accumulation of cholesterol plaque on the inner walls of the arteries. Chronic insufficient blood flow leads to the complications, including angina and heart failure. In addition, acute plaque rupture may lead to vessel occlusion, causing a heart attack. Thus, it is encouraged to have...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

An epileptic seizure detection system based on cepstral analysis and generalized regression neural network
This study introduces a new and effective epileptic seizure detection system based on cepstral analysis utilizing generalized regression neural network for classifying electroencephalogram (EEG) recordings. The EEG recordings are obtained from an open database which has been widely studied with many different combinations of feature extraction and classification techniques. Cepstral analysis technique is mainly used for speech recognition, seismological problems, mechanical part tests, etc. Utility of cepstral analysis based features in EEG signal classification is explored in the paper. In the proposed study, mel frequenc...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

A segment-wise reconstruction method based on bidirectional long short term memory for Power Line Interference suppression
In this study, we propose a novel segment-wise reconstruction method to suppress the PLI in biomedical signals based on the Bidirectional Recurrent Neural Networks with Long Short Term Memory (Bi-LSTM). Experiments are conducted on both synthetic and real signals, and quantitative comparisons are made with a traditional IIR notch filter and two state-of-the-art methods in the literature. The results show that by our method, the output Signal-to-Noise Ratio (SNR) is improved by more than 7 dB and the settling time for step response is reduced to 0.09 s on average. The results also demonstrate that our method has e...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Numerical simulations of the pulsatile blood flow in the different types of arterial fenestrations: Comparable analysis of multiple vascular geometries
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Zbigniew Tyfa, Damian Obidowski, Piotr Reorowicz, Ludomir Stefańczyk, Jan Fortuniak, Krzysztof JóźwikAbstractIn medical terms, fenestration stands for an anomaly within the circulatory system in which the blood vessel lumen is divided into two separate channels that rejoin in the distal part of this vessel. The primary objective of this research was to analyze the impact of the left vertebral artery (LVA) and basilar artery (BA) fenestrations on the blood flow characteristics in their regions and downstream, in th...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Use of the surface electromyography for a quantitative trend validation of estimated muscle forces
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Magdalena Żuk, Małgorzata Syczewska, Celina PezowiczAbstractSurface EMG is a non-invasive measurement of an individual muscle activity and it can be used as the indirect form of a simulated muscle forces validation. The quantitative curves comparison has some potential, which has not been fully exploited yet [13]. The purpose of current study was to quantitatively compare muscle forces predicted using musculoskeletal models to measured surface electromyography signals. A metrics based on correlation and an electromechani...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Detection of valvular heart diseases using impedance cardiography ICG
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Souhir Chabchoub, Sofienne Mansouri, Ridha Ben SalahAbstractImpedance cardiography (ICG) is a simple, non-invasive and cost effective tool for monitoring hemodynamic parameters. It has been successfully used to diagnose several cardiovascular diseases, like the heart failure and myocardial infarction. In particular, valvular heart disease (VHD) is characterized by the affection of one or more heart valves: mitral, aortic, tricuspid or pulmonary valves and it is usually diagnosed using the Doppler echocardiography. However,...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Nonsubsampled shearlet domain fusion techniques for CT–MR neurological images using improved biological inspired neural model
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Deep GuptaAbstractThe fusion of multimodality medical images performs a very crucial role in the clinical diagnosis, analysis and the treatment of especially in critical diseases. It is considered as an assisted approach for the radiologist by providing the composite images having significant diagnostic information acquired from the source images. The main purpose of this work is to develop an efficient framework for fusing the multimodal medical images. Three different fusion techniques are proposed in this paper that pre...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Denoising of Electrocardiogram (ECG) signal by using empirical mode decomposition (EMD) with non-local mean (NLM) technique
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Shailesh Kumar, Damodar Panigrahy, P.K. SahuAbstractIn this paper, the investigation on effectiveness of the empirical mode decomposition (EMD) with non-local mean (NLM) technique by using the value of differential standard deviation for denoising of ECG signal is performed. Differential standard deviation is calculated for collecting information related to the input noise so that appropriate formation in EMD and NLM framework can be performed. EMD framework in the proposed methodology is used for reduction of the noise fr...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Gene selection from large-scale gene expression data based on fuzzy interactive multi-objective binary optimization for medical diagnosis
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Saleh Shahbeig, Akbar Rahideh, Mohammad Sadegh Helfroush, Kamran KazemiAbstractAn efficient fuzzy interactive multi-objective optimization method is proposed to select the sub-optimal subset of genes from large-scale gene expression data. It is based on the binary particle swarm optimization (BPSO) algorithm tuned by a chaotic method. The proposed method is able to select the sub-optimal subset of genes with the least number of features that can accurately distinguish between the two classes, e.g. the normal and cancerous ...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Combination of clinical and multiresolution features for glaucoma detection and its classification using fundus images
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): T.R. Kausu, Varun P. Gopi, Khan A. Wahid, Wangchuk Doma, Swamidoss Issac NiwasAbstractGlaucoma is a neuro-degenerative disorder of the eye and it leads to permanent blindness when untreated or detected in the later stage. The main cause of glaucoma is the damage of the optic nerve, which occurs due to the increase of eye pressure. Hence the early detection of this disease is critical in time and which can help to prevent further vision loss. The assessment of optic nerve head using fundus images is more beneficial than the...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Accurate prediction of continuous blood glucose based on support vector regression and differential evolution algorithm
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Takoua Hamdi, Jaouher Ben Ali, Véronique Di Costanzo, Farhat Fnaiech, Eric Moreau, Jean-Marc GinouxAbstractType 1 diabetes (T1D) is a chronic disease requiring patients to know their blood glucose values in order to ensure blood glucose levels as close to normal as possible. Hence, the ability to predict blood glucose levels is of a great interest for clinical researchers. In this sense, the literature is rich with several solutions that can predict blood glucose levels. Unfortunately, these methods require the pati...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Efficient compression of bio-signals by using Tchebichef moments and Artificial Bee Colony
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Khalid M. Hosny, Asmaa M. Khalid, Ehab R. MohamedAbstractIn this paper, an algorithm is proposed for efficient compression of bio-signals based on discrete Tchebichef moments and Artificial Bee Colony (ABC). The Tchebichef moments are used to extract features of the bio-signals, then, the ABC algorithm is used to select of the optimum features which achieve the best bio-signal quality for a specific compression ratio (CR). The proposed algorithm has been tested by using different datasets of Electrocardiogram (ECG), Electr...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

In silico testing of optimized Fuzzy P+D controller for artificial pancreas
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Selim Soylu, Kenan DanismanAbstractBackground and objectivesDespite therapeutic advances, a complete cure has not been found yet for patients with type 1 diabetes (T1D). Artificial pancreas (AP) is a promising approach to cope with this disease. The controller part of the AP can compute the insulin infusion rate that keeps blood glucose concentration (BGC) in normoglycemic ranges. Most controllers rely on model-based controllers and use manual meal announcements or meal detection algorithms. For a fully automated AP, a con...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

An optimal spectroscopic feature fusion strategy for MR brain tumor classification using Fisher Criteria and Parameter-Free BAT optimization algorithm
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 2Author(s): Taranjit Kaur, Barjinder Singh Saini, Savita GuptaAbstractIn the present work, a fused metabolite ratio is proposed that integrates the conventional metabolite ratios in a weighted manner to improve the diagnostic accuracy of glioma brain tumor categorization. Each metabolite ratio is weighted by the value generated by the Fisher and the Parameter-Free BAT (PFree BAT) optimization algorithm. Here, feature fusion is formulated as an optimization problem with PFree BAT optimization as its underlying search strategy and Fishe...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

EEG with a reduced number of electrodes: Where to detect and how to improve visually, auditory and somatosensory evoked potentials
In this study, we investigate where to detect and how to improve visually, auditory and somatosensory evoked potentials with a reduced number of electrodes. We measured a total of 50 evoked potentials in healthy subjects, and we were able to detect visually, auditory and somatosensory evoked potentials with just three electrodes. We also investigated where to measure a combination of visually, auditory and somatosensory evoked potentials and found the best positions to be Oz, O1, O2, TP9 and TP10. In the second part of this study, we analyzed how the evoked potentials depend on the segmentation frequency selected to superp...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Peripheral blood smear analysis using image processing approach for diagnostic purposes: A review
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Roopa B. Hegde, Keerthana Prasad, Harishchandra Hebbar, I SandhyaAbstractPeripheral blood smear analysis is a common practice to evaluate health status of a person. Many disorders such as malaria, anemia, leukemia, thrombocytopenia, sickle cell anemia etc., can be diagnosed by evaluating blood cells. Many groups have reported methods to automate blood smear analysis for detection of specific disorders for diagnostic purposes. In this paper, we have summarized the methods used to analyze peripheral blood smears using image ...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Enhancement of graphene quantum dots based applications via optimum physical chemistry: A review
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Pushpa Jegannathan, Amin Termeh Yousefi, Mohd Sayuti Abd Karim, Nahrizul Adib KadriAbstractGraphene quantum dots (GQDs) is a promising new substance from the carbon material family that has been attracting researchers of many fields, such as biomedical sensors, medical imaging, polymer science, solar cells, light emitting diodes, and photoelectrons. Its unique electrical and mechanical properties could encourage its usage due to its low cost, high surface area, safety, stable luminescence, excellent biocompatibility, suita...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

A fast and robust level set motion-assisted deformable registration method for volumetric CT guided lung intervention
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Daegwan Kim, Namkug Kim, Sangmin Lee, Joon Beom SeoAbstractThis paper describes the accurate deformable registration method for image-guided lung interventions, including lung nodule biopsy and radiofrequency ablation of lung tumours. A level set motion assisted deformable registration method for computed tomography (CT) images was proposed and its accuracy and speed were compared with those of other conventional methods. Fifteen 3D CT images obtained from lung biopsy patients were scanned. Each scan consisted of diagnosti...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Automatic identifying of maternal ECG source when applying ICA in fetal ECG extraction
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Qiong Yu, Huawen Yan, Lin Song, Wenya Guo, Hongxing Liu, Junfeng Si, Ying ZhaoAbstractIndependent component analysis (ICA) is usually used as a preliminary step for maternal electrocardiogram (ECG) QRS detection in fetal ECG extraction. When applying ICA to do this, a troublesome problem arises from how to automatically identify the separated maternal ECG component. In this paper we proposed a method called PRCH (short for Peak to peak entropy, R-R interval entropy, Correlation coefficient and Heart rate) for the automatic...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Improvement in the diagnosis of melanoma and dysplastic lesions by introducing ABCD-PDT features and a hybrid classifier
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Arezoo Zakeri, Alireza HokmabadiAbstractMelanoma and dysplastic lesions are pigmented skin lesions whose accurate classification is of great importance. In this paper, we have proposed a computer-aided diagnosis (CAD) system to improve the diagnostic ability of the conventional ABCD (asymmetry, border irregularity, color, and diameter) analysis. We introduced features extracted by local analysis of range of intensity variations within the lesion that describe pigment distribution and texture (PDT) features. The statistical...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Temperature controlled dual hypoxic chamber design for in vitro ischemia experiments
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Marcell Bagó, Dénes B. Horváthy, Melinda Simon, Bence Marschall, Ana Pinto, Olga Kuten, Dora Polsek, István Hornyák, Stefan Nehrer, Zsombor LaczaAbstractIn vitro ischemia models are designed to study various aspects of hypo-perfusion, focusing on the consequences of acute events under body temperature. Cold ischemia is less investigated even though the beneficial effects of cooling is expected. The aim of the present work was to develop a device modeling cold and warm ischemia in vitro. O...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

A hybrid approach for the delineation of brain lesion from CT images
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Anjali Gautam, Balasubramanian Raman, Shailendra RaghuvanshiAbstractBrain lesion segmentation from radiological images is the most important task in accurate diagnosis of patients. This paper presents a hybrid approach for the segmentation of brain lesion from computed tomography (CT) images based on the combination of fuzzy clustering using hyper tangent function as the robust kernel and distance regularized level set evolution (DRLSE) function as the edge based active contour method. Kernel based fuzzy clustering method ...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Generalized Stockwell transform and SVD-based epileptic seizure detection in EEG using random forest
ConclusionsOur proposed technique is comparable or superior to other up-to-date methods. The presented method is promising and able to handle with kinds of epileptic seizure detection tasks with satisfactory accuracy. (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Experimental investigation of particle size distribution and morphology of alumina-yttria-ceria-zirconia powders obtained via sol–gel route
ConclusionsThe influence of various chemical compositions for morphology and thermal properties is negligible. In contrast, a clear correlation is observed between the volume of parent alcohol for both morphology and thermal properties. Use of sol–gel method to further research in view of these results appears to be appropriate. (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Geometric verification of the validity of Finite Element Method analysis of Abdominal Aortic Aneurysms based on Magnetic Resonance Imaging
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Zuzanna Domagała, Hubert Stępak, Paweł Drapikowski, Anna Kociemba, Małgorzata Pyda, Katarzyna Karmelita-Katulska, Łukasz Dzieciuchowicz, Grzegorz OszkinisAbstractThe currently used criterion of maximum transverse diameter for the Abdominal Aortic Aneurysm treatment has some limitations. Attempts to create individualized, therapeutic strategies are being conducted, including biomechanical assessment of rupture risk of an aneurysm based on the Finite Element Analysis of the geometric models.The usual approach is to use ...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

A robust pre-processing of BeadChip microarray images
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Jan KalinaAbstractMicroarray images commonly used in gene expression studies are heavily contaminated by noise and/or outlying values (outliers). Unfortunately, standard methodology for the analysis of Illumina BeadChip microarray images turns out to be too vulnerable to data contamination by outliers. In this paper, an alternative approach to low-level pre-processing of images obtained by the BeadChip microarray technology is proposed. The novel approach robustifies the standard methodology in a complex way and thus ensur...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Automated diagnosis of atrial fibrillation ECG signals using entropy features extracted from flexible analytic wavelet transform
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Mohit Kumar, Ram Bilas Pachori, U. Rajendra AcharyaAbstractAtrial fibrillation (AF) is the most common type of sustained arrhythmia. The electrocardiogram (ECG) signals are widely used to diagnose the AF. Automated diagnosis of AF can aid the clinicians to make a more accurate diagnosis. Hence, in this work, we have proposed a decision support system for AF using a novel nonlinear approach based on flexible analytic wavelet transform (FAWT). First, we have extracted 1000 ECG samples from the long duration ECG signals. Then...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Virus–human protein–protein interaction prediction using Bayesian matrix factorization and projection techniques
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Esmaeil Nourani, Farshad Khunjush, F. Erdoğan SevilgenAbstractPathogens infect host organisms by exploiting host cellular mechanisms and evading host defence mechanisms through molecular pathogen–host interactions (PHIs). Discovering new interactions between pathogen and human proteins is very crucial in understanding the infection mechanisms. By analysing interaction networks, the interactions responsible for infectious diseases can be detected and new drugs disabling these interactions can be delivered. In this pa...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Multi-modal framework for automatic detection of diagnostically important regions in nonalcoholic fatty liver ultrasonic images
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): R. Bharath, P. Rajalakshmi, Mohammad Abdul MateenAbstractThe severity of fat in ultrasonic liver images is quantified based on characteristics of three regions in the image namely diaphragm, periportal veins and texture of liver parenchyma. The characteristics of these regions vary with the severity of fat in the liver, and is subjected to low signal to noise ratio, low contrast, poorly defined organ boundaries, etc., hence locating these regions in ultrasound images is challenging task for the sonographers. Automated dete...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Thermal modelling and screening method for skin pathologies using active thermography
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Maria Strąkowska, Robert Strąkowski, Michał Strzelecki, Gilbert De Mey, Bogusław WięcekAbstractThis paper presents a novel screening approach of human skin pathologies using Active IR Thermography. The inputs of the proposed algorithm are the values of the physical parameters of the skin. Parameters are estimated based on dynamic thermographic measurements of human skin and the developed thermal model of the tissue. The calculations were based on the inverse thermal modelling. Classification was done using Support Vec...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

An improved feature based image fusion technique for enhancement of liver lesions
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Sreeja P., Hariharan S.AbstractThis paper describes two methods for enhancement of edge and texture of medical images. In the first method optimal kernel size of range filter suitable for enhancement of liver and lesions is deduced. The results have been compared with conventional edge detection algorithms. In the second method the feasibility of feature based pixel wise image fusion for enhancing abdominal images is investigated. Among the different algorithms developed in the medical image fusion pixel level fusion is ca...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Control of speed and direction of electric wheelchair using seat pressure mapping
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): Junichi Hori, Hiroki Ohara, Seiya InayoshiAbstractAn electric wheelchair controlled through seat pressure mapping was developed to accomplish hands-free operation. The seat pressure mapping resulting from a change in posture was measured using a pressure sensor array seated on the wheelchair in real time. The movements of the upper body were discriminated using template matching. The speed and direction can be controlled based on the similarities between the measured pressure distribution and five templates of neutral, for...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Time–frequency analysis in infant cry classification using quadratic time frequency distributions
Publication date: 2018Source: Biocybernetics and Biomedical Engineering, Volume 38, Issue 3Author(s): J. Saraswathy, M. Hariharan, Wan Khairunizam, J. Sarojini, N. Thiyagar, Y. Sazali, Shafriza NishaAbstractThis paper presents a new investigation of time–frequency (t–f) based signal processing approach using quadratic time–frequency distributions (QTFDs) namely spectrogram (SPEC), Wigner–Ville distribution (WVD), Smoothed–Wigner Ville distribution (SWVD), Choi–William distribution (CWD) and modified B-distribution (MBD) for classification of infant cry signals. t–f approaches have ...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Use of features from RR-time series and EEG signals for automated classification of sleep stages in deep neural network framework
Publication date: Available online 14 June 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): R.K. Tripathy, U. Rajendra AcharyaAbstractSleep is a physiological activity and human body restores itself from various diseases during sleep. It is necessary to get sufficient amount of sleep to have sound physiological and mental health. Nowadays, due to our present hectic lifestyle, the amount of sound sleep is reduced. It is very difficult to decipher the various stages of sleep manually. Hence, an automated system may be useful to detect the different stages of sleep. This paper presents a novel method for the cl...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Glossokinetic potential based tongue–machine ınterface for 1-D extraction using neural networks
This study may serve disabled people to control assistive devices in natural, unobtrusive, speedy and reliable manner. Moreover, it is expected that GKP-based TMI could be a collaboration channel for traditional electroencephalography (EEG)-based brain computer interfaces which have significant inadequacies arisen from the EEG signals. (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Parkinson's disease monitoring from gait analysis via foot-worn sensors
Publication date: Available online 28 June 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Tunç Aşuroğlu, Koray Açıcı, Cağatay Berke Erdaş, Münire Kılınç Toprak, Hamit Erdem, Hasan OğulAbstractBackgroundIn Parkinson’s disease (PD), neuronal loss in the substantia nigra ultimate in dopaminergic denervation of the stiratum is followed by disarraying of the movements’ preciseness, automatism, and agility. Hence, the seminal sign of PD is a change in motor performance of affected individuals. As PD is a neurodegenerative disease, progression of disability in mobili...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Early Detection of Sudden Cardiac Death Using Nonlinear Analysis of Heart Rate Variability
ConclusionsThis study shows that a combination of features based on the nonlinear modeling of HRV, such as laminarity (based on recurrence quantification analysis), and increment entropy leads to early detection of sudden cardiac death. Choosing the decision tree improves the performance of the algorithm. The results could help in the development of a tool that would allow the detection of cardiac arrest six minutes before its onset. (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Continuous blood glucose level prediction of Type 1 Diabetes based on Artificial Neural Network
This article proposes a new method based on Artificial Neural Networks (ANN) for blood glucose level prediction of Type 1 Diabetes (T1D) using only CGM data as inputs. To show the efficiency of our method and to validate our ANN, real CGM data of 13 patients were investigated. The accuracy of the strategy is discussed based on some statistical criteria such as the Root Mean Square Error (RMSE) and the Mean Absolute Percentage Error (MAPE). The obtained averages of RMSE are 6.43 mg/dL, 7.45 mg/dL, 8.13 mg/dL and 9.03 mg/dL for Prediction Horizon (PH) respectively 15 min, 30 min, 45 min and 60 min and the ave...
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research

Design and miniaturization of dual band implantable antennas
The objective is to design dual band antennas in 400 MHz and 2.4 GHz with suitable bandwidths and small sizes. The meander type antenna was fabricated and its S parameters were measured using an equivalent liquid phantom of skin, fat and muscle which included propanol, butanol, purified water and salt. The experimental results are shown and compared. (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - July 10, 2018 Category: Biomedical Engineering Source Type: research