Biocybernetics and Biomedical Engineering This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

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 16, 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 and passive hand movem...
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 dielectrophoresis (...
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 this ...
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 frequ...
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 compared with ...
Source: Biocybernetics and Biomedical Engineering - November 29, 2018 Category: Biomedical Engineering Source Type: research