Determination of the difference between two complex polymer models simulating the behaviour of biological structures
This article presents research conducted on various polymer models imitating biological structures. Tests were carried on using a newly developed research method described in Ref. [1]. The purpose of our research was to check if the measuring system [1] is able to distinguish multilayer samples. Test materials were two different polymer models which were oppressed at the central point. During the measurement, marked points on the external surface of the sample were followed. The arrangement of points on the image enabled to reconstruct 3D surface and determine the displacement of analyzed points. Measurements were repeated...
Source: Biocybernetics and Biomedical Engineering - April 12, 2019 Category: Biomedical Engineering Source Type: research

Anatomical factors of human respiratory tract influencing volume flow rate and number of particles arriving at each bronchus
In this study, numerical simulation of an airflow including particles in a tracheobronchial model was conducted based on a computed tomography (CT) image of a human respiratory tract, and then the anatomical factors of the airway that influence the volume flow rate and the number of particles arriving at each bronchus were investigated. The oral cavity, pharynx, larynx, trachea, and intra-thoracic central airways of up to seven generations were modeled from the CT image. The airflow was simulated by large eddy simulation using OpenFOAM ver. 2.3.1. The particle transport was calculated in a Lagrangian manner. Statistical an...
Source: Biocybernetics and Biomedical Engineering - April 5, 2019 Category: Biomedical Engineering Source Type: research

Polynomial modeling of retinal vessels for tortuosity measurement
Publication date: Available online 1 April 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Sanyukta Chetia, S.R. NirmalaAbstractTortuosity is one of the micro vascular change that is observed in many retinopathies. Its early detection can prevent the progression of various retinopathies to a critical stage at which a person may become blind. Here, we propose a novel method for the measurement of tortuosity by polynomial modeling of retinal vessels for the analysis of hypertensive retinopathy. The proposed method is tested on a set of 30 arteries and 30 veins vessel images collected from the Retinal Vessel T...
Source: Biocybernetics and Biomedical Engineering - April 2, 2019 Category: Biomedical Engineering Source Type: research

Determining relevant biomarkers for prediction of breast cancer using anthropometric and clinical features: A comparative investigation in machine learning paradigm
Publication date: Available online 25 March 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Bikesh Kumar SinghAbstractEarly detection of breast cancer plays crucial role in planning and result of associated treatment. The purpose of this article is threefold: (i) to investigate whether or not clinical features obtained using routine blood analysis combined with anthropometric measurements can be utilized for envisaging breast cancer using predictive machine learning techniques; (ii) to explore the role of various machine learning components such as feature selection, data division protocols and classificati...
Source: Biocybernetics and Biomedical Engineering - March 26, 2019 Category: Biomedical Engineering Source Type: research

Effect of despeckle filtering on classification of breast tumors using ultrasound images
Publication date: Available online 27 February 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Kriti, Jitendra Virmani, Ravinder AgarwalAbstractThe present work has been carried out for assessing the performance of texture and morphological features computed from both original and despeckled breast ultrasound images for the classification of breast tumors. Total 100 breast ultrasound images (40 benign and 60 malignant) have been used. Initially, these images have been despeckled using six despeckling filters namely Lee Sigma, BayesShrink, Detail preserving anisotropic diffusion, Fourier ideal, Fourier Butte...
Source: Biocybernetics and Biomedical Engineering - February 28, 2019 Category: Biomedical Engineering Source Type: research

A survey of machine learning techniques in physiology based mental stress detection systems
Publication date: Available online 23 February 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Suja Sreeith Panicker, P. GayathriAbstractVarious automated/semi-automated medical diagnosis systems based on human physiology have been gaining enormous popularity and importance in recent years. Physiological features exhibit several unique characteristics that contribute to reliability, accuracy and robustness of systems. There has also been significant research focusing on detection of conventional positive and negative emotions after presenting laboratory-based stimuli to participants. This paper presents a c...
Source: Biocybernetics and Biomedical Engineering - February 25, 2019 Category: Biomedical Engineering Source Type: research

Modified local ternary patterns technique for brain tumour segmentation and volume estimation from MRI multi-sequence scans with GPU CUDA machine
Publication date: Available online 22 February 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): P. Sriramakrishnan, T. Kalaiselvi, R. RajeswaranAbstractThe proposed work develops a rapid and automatic method for brain tumour detection and segmentation using multi-sequence magnetic resonance imaging (MRI) datasets available from BraTS. The proposed method consists of three phases: tumourous slice detection, tumour extraction and tumour substructures segmentation. In phase 1, feature blocks and SVM classifier are used to classify the MRI slices into normal or tumourous. Phase 2 contains fuzzy c means (FCM) alg...
Source: Biocybernetics and Biomedical Engineering - February 23, 2019 Category: Biomedical Engineering Source Type: research

Classification of coronary artery diseased and normal subjects using multi-channel phonocardiogram signal
Publication date: Available online 22 February 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Pranab Samanta, Akanksha Pathak, Kayapanda Mandana, Goutam SahaAbstractCoronary artery disease (CAD) is one of the leading causes of mortality and morbidity. There is a need to develop a simple, reliable, and non-invasive screening tool to diagnose CAD. Prior studies reported that turbulent blood flow due to stenosed coronary arteries causes weak CAD murmurs. Analysis of phonocardiogram (PCG) signals can be useful to detect these murmurs. In this work, we propose a new multi-channel PCG-based system to classify CA...
Source: Biocybernetics and Biomedical Engineering - February 23, 2019 Category: Biomedical Engineering Source Type: research

Simultaneous multi-site measurement system for the assessment of pulse wave delays
Publication date: Available online 21 February 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Tadeusz Sondej, Krzysztof Sieczkowski, Robert Olszewski, Andrzej DobrowolskiAbstractA precise, multi-track system for the simultaneous, real-time measurement of electrocardiographic (ECG) and many photopletysmographic (PPG) signals is described. This system allows the calculation of pulse wave delay parameters such as pulse arrival time (PAT) and pulse transit time (PTT). The measurement system was built on a custom, real-time embedded system with multiple specific analogue-front-end devices. Signals were recorded...
Source: Biocybernetics and Biomedical Engineering - February 22, 2019 Category: Biomedical Engineering Source Type: research

Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images
Publication date: Available online 20 February 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Roopa B. Hegde, Keerthana Prasad, Harishchandra Hebbar, Brij Mohan Kumar SinghAbstractAutomated classification and morphological analysis of white blood cells has been addressed since last four decades, but there is no optimal method which can be used as decision support system in laboratories due to biologically complex nature of the cells. Automated blood cell analysis facilitates quick and objective results and can also handle massive amount of data without compromising with efficiency. In the present study, we...
Source: Biocybernetics and Biomedical Engineering - February 21, 2019 Category: Biomedical Engineering Source Type: research

Development and testing of a passive Walking Assist Exoskeleton
Publication date: Available online 15 February 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Zlatko Lovrenovic, Marc DoumitAbstractThe ability to walk is perhaps the most common indicator of mobility and independence. Regrettably, a large portion of the population is experiencing a loss in mobility due to aging and/or chronic health conditions. There is thus an urgent need to develop systems that would help preserve mobility for individuals in need. One promising solution to this growing problem is Walking Assist Exoskeletons. Current devices mostly rely on powered systems to provide walk assist by applyi...
Source: Biocybernetics and Biomedical Engineering - February 17, 2019 Category: Biomedical Engineering Source Type: research

Combination of hand-crafted and unsupervised learned features for ischemic stroke lesion detection from Magnetic Resonance Images
Publication date: Available online 14 February 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): G.B. Praveen, Anita Agrawal, Ponraj Sundaram, Sanjay SardesaiAbstractDetection of ischemic stroke lesions plays a vital role in the assessment of stroke treatments such as thrombolytic therapy and embolectomy. Manual detection and quantification of stroke lesions is a time-consuming and cumbersome process. In this paper, we present a novel automatic method to detect acute ischemic stroke lesions from Magnetic Resonance Image (MRI) volumes using textural and unsupervised learned features. The proposed method profic...
Source: Biocybernetics and Biomedical Engineering - February 15, 2019 Category: Biomedical Engineering Source Type: research

Multi-channeled MR brain image segmentation: A novel double optimization approach combined with clustering technique for tumor identification and tissue segmentation
Publication date: Available online 26 December 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Anitha Narayanan, M. Pallikonda Rajasekaran, Yudong Zhang, Vishnuvarthanan Govindaraj, Arunprasath ThiyagarajanAbstractGrowth of cancer cells within the human body is a major outcome of the manipulation of cells and it has resulted in the deterioration of the life span of humans. The impact of cancer cells is irretrievable and it has paved the way to the formation of tumors within the human body. For achieving and developing a single-structured framework to prominently identify the tumor regions and segmenting the...
Source: Biocybernetics and Biomedical Engineering - December 27, 2018 Category: Biomedical Engineering Source Type: research

A novel fused coupled chaotic map based confidential data embedding-then-encryption of electrocardiogram signal
Publication date: Available online 14 December 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Anukul Pandey, Butta Singh, Barjinder Singh Saini, Neetu SoodAbstractIn telecardiology applications, research has been underway to protect the patient's confidential information from unauthorized access using Electrocardiogram (ECG) steganography or encryption approaches. A novel fused coupled chaotic map (FCCM) structure based integrated embedding-then-encryption approach is proposed for patient's confidential data embedding in ECG and its subsequent encryption. The proposed ECG embedding-then-encryption algorith...
Source: Biocybernetics and Biomedical Engineering - December 15, 2018 Category: Biomedical Engineering Source Type: research

Robotic orthosis compared to virtual hand for Brain–Computer Interface feedback
Publication date: Available online 13 December 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Jessica Cantillo-Negrete, Ruben I. Carino-Escobar, Paul Carrillo-Mora, José A. Barraza-Madrigal, Oscar Arias-CarriónAbstractBrain–Computer Interfaces (BCI) allow the control of external devices by decoding the users’ intentions from their central nervous system. Feedback, one of the main elements of a closed-loop BCI, is used to enhance the user's performance. The present work aimed to compare the effect of two different feedback sources; congruent anatomical visual hand representation an...
Source: Biocybernetics and Biomedical Engineering - December 14, 2018 Category: Biomedical Engineering Source Type: research

Multi-channel acoustic analysis of phoneme /s/ mispronunciation for lateral sigmatism detection
Publication date: Available online 12 December 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Michal Krecichwost, Zuzanna Miodonska, Pawel Badura, Joanna Trzaskalik, Natalia MockoAbstractThe paper presents a method for computer-aided detection of lateral sigmatism. The aim of the study is to design an automated sigmatism diagnosis tool. For that purpose, a reference speech corpus has been collected. It contains 438 recordings of a phoneme /s/ surrounded by certain vowels with normative and simulated pathological pronunciation. The acoustic signal is recorded with an acoustic mask, which is a set of microph...
Source: Biocybernetics and Biomedical Engineering - December 13, 2018 Category: Biomedical Engineering Source Type: research

Coupling of inertial measurement units with a virtual world model for supporting navigation in bronchoscopy
ConclusionA method has been proposed and tested for Inertial Measurement Unit (IMU)-based support of navigation in bronchoscopy. (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - December 7, 2018 Category: Biomedical Engineering Source Type: research

A novel method to design an electro-kinetic platform based on complementary metal-oxide semiconductor technology using SKILL scripting of cadence
Publication date: Available online 3 December 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Reda Abdelbaset, Yehya H. Ghallab, Yehea IsmailAbstractThe dielectrophoresis (DEP) is the motion of polarizable particles which is a result of the interaction between a non-uniform electric field and the induced dipole moment of these particles. The electro-kinetic DEP is a widely used technique for biological cells’ manipulation, characterization and separation. The electro-kinetic DEP consists of three major configurations, they are; traveling wave dielectrophoresis (twDEP), electro-rotation dielectrophores...
Source: Biocybernetics and Biomedical Engineering - December 4, 2018 Category: Biomedical Engineering Source Type: research

Automated detection of the preseizure state in EEG signal using neural networks
Publication date: Available online 3 December 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): C. Sudalaimani, N. Sivakumaran, Thomas T. Elizabeth, Valsalam S. RominusAbstractThe life-threatening neural syndrome epilepsy is elicited by seizure which affects over 50 million people in the universal. A seizure is a brain condition made by excessive, unusual exoneration by nerve cells of the brain. Contemporary seizure forecast research works exhibited worthy results in both undersized and lengthy electroencephalography (EEG) signal; however it is essential to formulate superior epileptic seizure forecast system...
Source: Biocybernetics and Biomedical Engineering - December 4, 2018 Category: Biomedical Engineering Source Type: research

The use of the Hellwig's method for feature selection in the detection of myeloma bone destruction based on radiographic images
Publication date: Available online 3 December 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Zbigniew Omiotek, Olga Stepanchenko, Waldemar Wójcik, Wojciech Legieć, Małgorzata SzatkowskaAbstractThe radiological test is cost-effective, widely available, allows for the visualisation of large areas of the skeleton and can identify long bones potentially at risk for fractures in osteolysis sites. Therefore, radiology is often used in the early stages of multiple myeloma, in the detection and characterisation of complications, and in the assessment of the patient's response to treatment. The accuracy of...
Source: Biocybernetics and Biomedical Engineering - December 4, 2018 Category: Biomedical Engineering Source Type: research

A CFD investigation of intra-aortic balloon pump assist ratio effects on aortic hemodynamics
Publication date: Available online 3 December 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Maria Vittoria Caruso, Vera Gramigna, Gionata FragomeniAbstractIntra-aortic balloon pump (IABP) is a mechanical circulatory support approach used in case of several cardiac diseases and a challenge of IABP therapy is the weaning process accomplished by decreasing the assist ratio. However, the impact of weaning on aortic hemodynamics on organs perfusions is not well known.Aim of this study was to evaluate and compare the global effects of IABP assistance frequencies on hemodynamics and perfusions in a patient-speci...
Source: Biocybernetics and Biomedical Engineering - December 4, 2018 Category: Biomedical Engineering Source Type: research

A speech recognition system based on electromyography for the rehabilitation of dysarthric patients: A Thai syllable study
The objective of this study is to develop a speech recognition system for classifying nine Thai syllables, which is used for the rehabilitation of dysarthric patients, based on five channels of surface electromyography (sEMG) signals from the human articulatory muscles. After the sEMG signal from each channel was collected, it was processed by a band-pass filter from 20–450 Hz for noise removal. Then, six features from three feature categories were determined and analyzed, namely, mean absolute value (MAV) and wavelength (WL) from amplitude based features (ABF), zero crossing (ZC) and mean frequency (MNF) from f...
Source: Biocybernetics and Biomedical Engineering - December 4, 2018 Category: Biomedical Engineering Source Type: research

Primary stenosis progression versus secondary stenosis formation in the left coronary bifurcation: A mechanical point of view
Publication date: Available online 29 November 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Reza Jahromi, Hossein Ali Pakravan, Mohammad Said Saidi, Bahar FiroozabadiAbstractBiomechanical forces and hemodynamic factors influence the blood flow and the endothelial cells (ECs) morphology. These factors behave differently beyond the coronary artery stenosis. In the present study, unsteady blood flow in the left coronary artery (LCA) and its atherosclerotic bifurcating vessels, left anterior descending (LAD) and left circumflex (LCX) arteries, were numerically simulated to investigate the risk of plaque leng...
Source: Biocybernetics and Biomedical Engineering - November 30, 2018 Category: Biomedical Engineering Source Type: research

A new framework using deep auto-encoder and energy spectral density for medical waveform data classification and processing
Publication date: Available online 28 November 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Ahmad M. Karim, Mehmet S. Güzel, Mehmet R. Tolun, Hilal Kaya, Fatih V. ÇelebiAbstractThis paper proposes a new framework for medical data processing which is essentially designed based on deep autoencoder and energy spectral density (ESD) concepts. The main novelty of this framework is to incorporate ESD function as feature extractor into a unique deep sparse auto-encoders (DSAEs) architecture. This allows the proposed architecture to extract more qualified features in a shorter computational time comp...
Source: Biocybernetics and Biomedical Engineering - November 29, 2018 Category: Biomedical Engineering Source Type: research

Adaptive shrinkage on dual-tree complex wavelet transform for denoising real-time MR images
Publication date: Available online 17 November 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): V.R. Simi, Damodar Reddy EdlaAbstractPerformance of denoising filters which are based on the principle of wavelet thresholding greatly depends upon selection of the threshold value. An objective method is proposed in this paper for computing the optimum value of threshold in DTCWT based denoising. At optimum threshold, annoying intensity transitions of pixels in the homogeneous regions of the images, contributed by noise get completely suppressed and the true edges remain unaffected. For finding optimum value of t...
Source: Biocybernetics and Biomedical Engineering - November 17, 2018 Category: Biomedical Engineering Source Type: research

Chemotherapy-induced fatigue estimation using hidden Markov model
Publication date: Available online 15 November 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Sina Ameli, Fazel Naghdy, David Stirling, Golshah Naghdy, Morteza AghmeshehAbstractChemotherapy-induced fatigue undermines the physical performance and alter gait behaviour of patients. In routine clinical oncology, there is not a well-established method to objectively assess the effects of chemotherapy-induced fatigue on gait characteristics. Clinical trials commonly use 6-min walking tests (6MWT) to assess the gait of patients. However, these studies only measure the distance that a patient can walk. The distanc...
Source: Biocybernetics and Biomedical Engineering - November 16, 2018 Category: Biomedical Engineering Source Type: research

Heart rate extraction from PPG signals using variational mode decomposition
Publication date: Available online 14 November 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Hemant SharmaAbstractMonitoring of vital signs using the photoplethysmography (PPG) signal is desirable for the development of home-based healthcare systems in the aspect of feasibility, mobility, comfort, and cost-effectiveness of the PPG device. In this paper, a new technique based on the variational mode decomposition (VMD) for estimating heart rate (HR) from the PPG signal is proposed. The VMD decomposes an input PPG signal into a number of modes or sub-signals. Afterward, the modes which are dominantly influe...
Source: Biocybernetics and Biomedical Engineering - November 15, 2018 Category: Biomedical Engineering Source Type: research

Support vector machine classification of brain states exposed to social stress test using EEG-based brain network measures
In this study, the brain network states exposed to stress were monitored based on electroencephalography (EEG) measures extracted by complex network analysis. To this regard, 23 healthy male participants aged 18–28 were exposed to a stress test. EEG data and salivary cortisol level were recorded for three different conditions including before, right after, and 20 min after exposure to stress. Then, synchronization likelihood (SL) was calculated for the set of EEG data to construct complex networks, which are scale reduced datasets acquired from multi-channel signals. These networks with weighted connectivity mat...
Source: Biocybernetics and Biomedical Engineering - November 14, 2018 Category: Biomedical Engineering Source Type: research

Automatic mitosis detection in breast histopathology images using Convolutional Neural Network based deep transfer learning
Publication date: Available online 10 November 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Beevi K. Sabeena, Madhu S. Nair, G.R. BinduAbstractThe exact measure of mitotic count is one of the crucial parameters in breast cancer grading and prognosis. Detection of mitosis in standard H & E stained histopathology images is challenging due to diffused intensities along object boundaries and shape variation in different stages of mitosis. This paper explores the feasibility of transfer learning for mitosis detection. A pre-trained Convolutional Neural Network is transformed by coupling random forest clas...
Source: Biocybernetics and Biomedical Engineering - November 11, 2018 Category: Biomedical Engineering Source Type: research

Gray-level co-occurrence matrix of Fourier synchro-squeezed transform for epileptic seizure detection
Publication date: Available online 6 November 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Shamzin Mamli, Hashem KalbkhaniAbstractEpilepsy is a brain disorder that many persons of different ages in the world suffer from it. According to the world health organization, epilepsy is characterized by repetitive seizures and more electrical discharge in a group of brain neurons results in sudden physical actions. The aim of this paper is to introduce a new method to classify epileptic phases based on Fourier synchro-squeezed transform (FSST) of electroencephalogram (EEG) signals. FSST is a time-frequency (TF) ...
Source: Biocybernetics and Biomedical Engineering - November 7, 2018 Category: Biomedical Engineering Source Type: research

Computer-aided detection of mesial temporal sclerosis based on hippocampus and cerebrospinal fluid features in MR images
Publication date: Available online 28 October 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Huiquan Wang, S. Nizam Ahmed, Mrinal MandalAbstractMesial temporal sclerosis (MTS) is the commonest brain abnormalities in patients with intractable epilepsy. Its diagnosis is usually performed by neuroradiologists based on visual inspection of magnetic resonance imaging (MRI) scans, which is a subjective and time-consuming process with inter-observer variability. In order to expedite the identification of MTS, an automated computer-aided method based on brain MRI characteristics is proposed in this paper. It inclu...
Source: Biocybernetics and Biomedical Engineering - October 29, 2018 Category: Biomedical Engineering Source Type: research

Accurate automated detection of congestive heart failure using eigenvalue decomposition based features extracted from HRV signals
This study aims to diagnose the CHF accurately using heart rate variability (HRV) signals. The HRV signals are non-stationary and nonlinear in nature. We have used eigenvalue decomposition of Hankel matrix (EVDHM) method to analyze the HRV signals. The lowest frequency component (LFC) and the highest frequency component (HFC) are extracted from the eigenvalue decomposed components of HRV signals. After that, the mean and standard deviation in time domain, mean frequency calculated from Fourier-Bessel series expansion, k-nearest neighbor (k-NN) entropy, and correntropy features are evaluated from the decomposed components. ...
Source: Biocybernetics and Biomedical Engineering - October 20, 2018 Category: Biomedical Engineering Source Type: research

Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms
Publication date: Available online 18 October 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Amin Kabir Anaraki, Moosa Ayati, Foad KazemiAbstractGliomas are the most common type of primary brain tumors in adults and their early detection is of great importance. In this paper, a method based on convolutional neural networks (CNNs) and genetic algorithm (GA) is proposed in order to noninvasively classify different grades of Glioma using magnetic resonance imaging (MRI). In the proposed method, the architecture (structure) of the CNN is evolved using GA, unlike existing methods of selecting a deep neural netw...
Source: Biocybernetics and Biomedical Engineering - October 19, 2018 Category: Biomedical Engineering Source Type: research

Assessment of despeckle filtering algorithms for segmentation of breast tumours from ultrasound images
Publication date: Available online 12 October 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Kriti, Jitendra Virmani, Ravinder AgarwalAbstractIn the present work, the breast ultrasound images are pre-processed with various despeckle filtering algorithms to analyze the effect of despeckling on segmentation of benign and malignant breast tumours from ultrasound images. The despeckle filtering algorithms are broadly classified into eight categories namely local statistics based filters, fuzzy filters, Fourier filters, multiscale filters, non-linear iterative filters, total variation filters, non-local mean fi...
Source: Biocybernetics and Biomedical Engineering - October 14, 2018 Category: Biomedical Engineering Source Type: research

Detection of type-2 diabetes using characteristics of toe photoplethysmogram by applying support vector machine
Publication date: Available online 12 October 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Neelamshobha Nirala, R. Periyasamy, B.K. Singh, Awanish KumarAbstractDiabetes mellitus (DM) is one of the most widespread and rapidly growing diseases. With its advancement, DM-related complications are also increasing. We used characteristic features of toe photoplethysmogram for the detection of type-2 DM using support vector machine (SVM). We collected toe PPG signal, from 58 healthy and 83 type-2 DM subjects. From each PPG signal 37 different features were extracted for further classification. To improve the pe...
Source: Biocybernetics and Biomedical Engineering - October 12, 2018 Category: Biomedical Engineering Source Type: research

Design factors of lumbar pedicle screws under bending load: A finite element analysis
In this study, 84 finite element (FE) models of the pedicle screw were generated having 7 pitch lengths, 3 major diameters, 2 thread profiles and 2 geometries. The assembly of pedicle screw and CT scan based half section FE model of 4th lumbar vertebra was loaded with a 200 N force on the screw head which is equivalent to a bending moment of 11 Nm.With triangular thread profile and cylindrical geometry, for 300% increase in pitch length (1 mm to 4 mm), von Mises stress in screw and von Mises strain in bone increased by 65% and 117% respectively, for a 26% decrease in major diameter (7.6 mm to 5.6&n...
Source: Biocybernetics and Biomedical Engineering - October 12, 2018 Category: Biomedical Engineering Source Type: research

Granular filter in medical image noise suppression and edge preservation
Publication date: Available online 6 October 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Wieclawek Wojciech, Pietka EwaAbstractAn alternative non-linear filtering technique for medical image denoising while preserving edge is introduced. Two different variants of the approach i.e. crisp and fuzzy are developed. The solution is demonstrated based on US breast images as well as CT studies and gave promising results in comparison with commonly known and popular filtering techniques (i.e. spatial averaging and median, bilateral filter, anisotropic diffusion). Many different measures were used to evaluate th...
Source: Biocybernetics and Biomedical Engineering - October 7, 2018 Category: Biomedical Engineering Source Type: research

Extraction of fuzzy rules at different concept levels related to image features of mammography for diagnosis of breast cancer
Publication date: Available online 27 September 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Mahsa Goudarzi, Keivan MaghooliAbstractMammography is an inexpensive and non-invasive method through which one can diagnose breast cancer in its early stages. As these images need interpretation by a radiologist, this may develop some problems due to fatigue, repetition, and need for a great deal of attention to details and other factors. Thus, a method capable of diagnosing breast cancer should be employed to help physicians in this regard.In this paper, The mini Mammographic Image Analysis Society (mini-MIAS) d...
Source: Biocybernetics and Biomedical Engineering - October 5, 2018 Category: Biomedical Engineering Source Type: research

Automatic method for assessment of proliferation index in digital images of DLBCL tissue section
Publication date: Available online 29 September 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Ryszard S. Gomolka, Anna Korzynska, Krzysztof Siemion, Karolina Gabor-Siatkowska, Wlodzimierz KlonowskiAbstractDiffuse large B-cell lymphoma (DLBCL) is a fast-growing and aggressive neoplasm originating from B lymphocytes. Evaluation of proliferation index (PI) based on Ki67 immunohistochemical nuclear staining is used to distinguish proliferating (immunopositive) from nonproliferating (immunonegative) lymphoma cells. Human interpretation of PI varies and is time-consuming, therefore automatic computer-assisted a...
Source: Biocybernetics and Biomedical Engineering - October 5, 2018 Category: Biomedical Engineering Source Type: research

Geometrical parameters of the mandible in 3D CBCT imaging
Publication date: Available online 1 October 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): A.M. Ryniewicz, W. Ryniewicz, Ł. BojkoAbstractThe aim of the study is to report on a method for the measurement and analysis of the accuracy in mapping the shape of the mandible spatially modeled based on cone beam imaging. To achieve this goal, the geometrical determinants of the mandible shape were identified; in addition, the accuracy of their cone beam in computer tomography (CBCT) images was verified. The latter – verification of images – was based on reference measures made by a coordinate measuri...
Source: Biocybernetics and Biomedical Engineering - October 5, 2018 Category: Biomedical Engineering Source Type: research

Detection of Modic changes in MR images of spine using local binary patterns
ConclusionA novel approach to identify MC in vertebrae by exploiting textural features is proposed. This shall assist radiologists in detecting abnormalities and in treatment planning. (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - October 5, 2018 Category: Biomedical Engineering Source Type: research

Evaluation of filters over different stimulation models in evoked potentials
In this study, data were recorded from university students whose age between 18 and 25 years with visual and auditory stimuli. Discrete wavelet transforms, singular spectrum analysis, empirical mode decomposition and discrete Fourier transform based filters were used and compared with raw data on classification performance. Higuchi fractal dimension and entropy features were extracted from EEG; P300 features were extracted from EP signals. Classification was applied with support vector machines. All filtered data gave better scores than raw data. Empirical mode decomposition (EMD) and Fourier-based filter yielded lower res...
Source: Biocybernetics and Biomedical Engineering - September 18, 2018 Category: Biomedical Engineering Source Type: research

Statistical methods for constructing gestational age-related charts for fetal size and pregnancy dating using longitudinal data
This article suggests how this method can be extended to longitudinal data using fractional polynomials in linear mixed effect regression. The presented approach includes maximum likelihood estimation for fitting first- and second-order fractional polynomial models, and multimodel inference using Akaike's information criterion and related tools as a suitable strategy for model selection. Finally, an example of the suggested approach is presented. (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - September 18, 2018 Category: Biomedical Engineering Source Type: research

Fuzzy genetic-based noise removal filter for digital panoramic X-ray images
Publication date: Available online 5 September 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Mehravar Rafati, Fateme Farnia, Mahdi Erfanian Taghvaei, Ali Mohammad NickfarjamAbstractThis paper proposed a novel fuzzy genetic-based noise removal filter and surveyed the gain of popular filters for noise removal in the digital orthopantomography (OPG) images. The proposed filter is a non-invasive technique for attaining sub-clinical information from the areas of interest in each tooth, both jaws and maxillofacial.The proposed Poisson removal filter combines 4th-order partial differential equations (PDE), total...
Source: Biocybernetics and Biomedical Engineering - September 6, 2018 Category: Biomedical Engineering Source Type: research

A hybrid gene selection method for microarray recognition
Publication date: Available online 5 September 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Alok Kumar Shukla, Pradeep Singh, Manu VardhanAbstractDNA microarray data is expected to be a great help in the development of efficient diagnosis and tumor classification. However, due to the small number of instances compared to a large number of genes, many of the computational learning methods encounter difficulties to select the low subgroups. In order to select significant genes from the high dimensional data for tumor classification, nowadays, several researchers are exploring microarray data using various ...
Source: Biocybernetics and Biomedical Engineering - September 5, 2018 Category: Biomedical Engineering Source Type: research

Towards in-vivo assessment of fluorescence lifetime: Imaging using time-gated intensified CCD camera
Publication date: Available online 3 September 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Piotr Sawosz, Stanislaw Wojtkiewicz, Michal Kacprzak, Elzbieta Zieminska, Magdalena Morawiec, Roman Maniewski, Adam LiebertAbstractA novel technique for imaging of a small animal with application of time-gated intensified CCD camera was proposed. The time-resolved method based on emission of picosecond light pulses and detection of the light penetrating in tissues was applied. In this technique, the fluorescence photons, excited in the dye circulating in the tissue, that diffusely penetrate in the optically turbid...
Source: Biocybernetics and Biomedical Engineering - September 5, 2018 Category: Biomedical Engineering Source Type: research

Fast statistical model-based classification of epileptic EEG signals
Publication date: Available online 21 August 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Antonio Quintero-Rincón, Marcelo Pereyra, Carlos D’Giano, Marcelo Risk, Hadj BatatiaAbstractThis paper presents a supervised classification method to accurately detect epileptic brain activity in real-time from electroencephalography (EEG) data. The proposed method has three main strengths: it has low computational cost, making it suitable for real-time implementation in EEG devices; it performs detection separately for each brain rhythm or EEG spectral band, following the current medical practices; and...
Source: Biocybernetics and Biomedical Engineering - August 21, 2018 Category: Biomedical Engineering Source Type: research

Automated fuzzy optic disc detection algorithm using branching of vessels and color properties in fundus images
This study is comprised of two successive fundamental steps. At the first step, an algorithm finding the approximate convergent point of the vessels is used in order to roughly localize OD. At the second step, three new features are suggested and a fuzzy logic controller (FLC) whose input membership functions are designed based on these features is proposed. The proposed method is applied to the DRIVE, STARE, DIARETDB0 and DIRETDB1 datasets and the obtained results validate the improvement in the performance by attaining success rate of 100%, 91,35%, 90% and 100% respectively and detecting OD centers and contours precisely...
Source: Biocybernetics and Biomedical Engineering - August 21, 2018 Category: Biomedical Engineering Source Type: research

Extracting tumor in MR brain and breast image with Kapur’s entropy based Cuckoo Search Optimization and morphological reconstruction filters
Publication date: Available online 20 August 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): R. Sumathi, M. Venkatesuslu, Sridhar P. Arjunan (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - August 21, 2018 Category: Biomedical Engineering Source Type: research

Eye and EEG activity markers for visual comfort level of images
Publication date: Available online 13 August 2018Source: Biocybernetics and Biomedical EngineeringAuthor(s): Vytautas Abromavičius, Artūras SerackisAbstractDepth perception by binocular cues is based on the matching of image features from one retina with corresponding elements from the second retina. However, high disparities are related to the higher visual discomfort levels and may cause the eye fatigue during extended stereoscopic perception time. The goal of the investigation was to find a set of measurable features for stereoscopic image visual comfort level prediction. The investigation involved gaze, pupillometric...
Source: Biocybernetics and Biomedical Engineering - August 13, 2018 Category: Biomedical Engineering Source Type: research