An Electrooculography based Human Machine Interface for wheelchair control
In this study, we propose a robust system that generates control command using only one type of asynchronous eye activity (voluntary eye blink) to navigate the wheelchair without a need of graphical user interface. This work demonstrates a simple but robust and effective multi-level threshold strategy to generate control commands from multiple features associated with the single, double and triple voluntary eye blinks to control predefined actions (forward, right turn, left turn and stop). Experimental trials were carried out on the able-bodied and disabled subjects to validate the universal applicability of the algorithms...
Source: Biocybernetics and Biomedical Engineering - April 28, 2019 Category: Biomedical Engineering Source Type: research

An improved algorithm for efficient ocular artifact suppression from frontal EEG electrodes using VMD
In this study, an enhanced version of signal decomposition scheme i.e. Variational Mode Decomposition (VMD) based algorithm is used for suppression of OAs. The signal decomposition is preceded by identification of ocular artifact corrupted segment using Multiscale modified sample entropy (mMSE). The band limited intrinsic mode functions (BLIMFs) are obtained using predefined K (number of required BLIMFs) and α (balancing parameter). These parameters help to detrend the EEG segment in yielding the low frequency and high amplitude BLIMFs related to OA efficiently. Upon identifying OA components from the BLIMFs and estimatin...
Source: Biocybernetics and Biomedical Engineering - April 28, 2019 Category: Biomedical Engineering Source Type: research

Impact of solute exchange between erythrocytes and plasma on hemodialyzer clearance
Publication date: Available online 26 April 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): J. Waniewski, J. Poleszczuk, M. Pietribiasi, M. Debowska, A. Wojcik-Zaluska, W. ZaluskaAbstractThe standard theory of mass transport in dialyzer for water solutions was extended for solutes distributed in both plasma (PW) and erythrocyte intracellular (EW) water. Blood flow was divided into two separate flows of PW and EW with the diffusive exchange of solutes across cellular membrane (CM). Diffusive permeability of CM for urea and creatinine were assumed according to literature data. Computer simulations based on pa...
Source: Biocybernetics and Biomedical Engineering - April 27, 2019 Category: Biomedical Engineering Source Type: research

A study on efficiency of 3D partial differential diffusive model of presynaptic processes
Publication date: Available online 23 April 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Andrzej Bielecki, Maciej Gierdziewicz, Piotr KalitaAbstractThe verification of efficiency of the diffusive-type model of neurotransmitter transport dynamics inside the presynaptic bouton, including the spatial aspect of the transport, is the main objective of the simulations described in this paper. Finite element and finite difference methods are applied to solve the model numerically. The bouton was represented by a 3D tetrahedral mesh. Some biological parameters have been taken from scientific literature whereas s...
Source: Biocybernetics and Biomedical Engineering - April 25, 2019 Category: Biomedical Engineering Source Type: research

Impact of coronary tortuosity on the artery hemodynamics
Publication date: Available online 22 April 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Abdulrajak Buradi, Arun MahalingamAbstractThe presence of tortuosity in coronary artery (CA) affects the local wall shear stress (WSS) which is an influencing hemodynamic descriptor (HD) for the development of atherosclerotic sites. To conduct a morphological parametric study in coronary arteries (CAs), several idealized tortuous artery models were obtained by varying three morphological indices namely, curvature radius (CR), distance between two bends (DBB) and the angle of bend (AoB). Computational fluid dynamics m...
Source: Biocybernetics and Biomedical Engineering - April 23, 2019 Category: Biomedical Engineering Source Type: research

Modeling and experimental validation of walking processes
Publication date: Available online 19 April 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Raoul R. Nigmatullin, Arsenii L. Morozov, Jan Awrejcewicz, Michał LudwickiAbstractThe so-called intermediate model (IM) was applied in the paper to quantitatively describe complex trajectories. Using this model it was possible to find the proper fitting function for describing random trajectories that were recorded during the walking process performed by a volunteer. Experimental data were acquired using a three-dimensional Motion Capture system during normal gait of a healthy person on an automatic treadmill. The m...
Source: Biocybernetics and Biomedical Engineering - April 21, 2019 Category: Biomedical Engineering Source Type: research

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 11, 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