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.

Fuzzy logic approach for infectious disease diagnosis: A methodical evaluation, literature and classification
Publication date: Available online 26 September 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Goli Arji, Hossein Ahmadi, Mehrbakhsh Nilashi, Tarik A. Rashid, Omed Hassan Ahmed, Nahla Aljojo, Azida ZainolAbstractThis paper presents a systematic review of the literature and the classification of fuzzy logic application in an infectious disease. Although the emergence of infectious diseases and their subsequent spread have a significant impact on global health and economics, a comprehensive literature evaluation of this topic has yet to be carried out. Thus, the current study encompasses the first systematic...
Source: Biocybernetics and Biomedical Engineering - September 27, 2019 Category: Biomedical Engineering Source Type: research

HWDCNN: Multi-class recognition in breast histopathology with Haar wavelet decomposed image based convolution neural network
Publication date: Available online 20 September 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Tasleem Kausar, MingJiang Wang, Muhammad Idrees, Yun LuAbstractAmong the predominant cancers, breast cancer is one of the main causes of cancer deaths impacting women worldwide. However, breast cancer classification is challenging due to numerous morphological and textural variations that appeared in intra-class images. Also, the direct processing of high resolution histological images is uneconomical in terms of GPU memory. In the present study, we have proposed a new approach for breast histopathological image ...
Source: Biocybernetics and Biomedical Engineering - September 21, 2019 Category: Biomedical Engineering Source Type: research

Improved robust weighted averaging for event-related potentials in EEG
Publication date: Available online 18 September 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Krzysztof Kotowski, Katarzyna Stapor, Jacek LeskiAbstractThe aim of this study was to improve the robust weighted averaging based on criterion function minimization and assess its effectiveness for extracting event-related brain potentials (ERP) from electroencephalographic (EEG) recordings. The areas of improvement include significantly lower averaging error (45% lower RMSE and 37% lower maximum difference than for original implementation) and increased robustness to local minima, strong outliers and corrupted e...
Source: Biocybernetics and Biomedical Engineering - September 19, 2019 Category: Biomedical Engineering Source Type: research

Development and testing of a passive ankle exoskeleton
This study proposes the development and initial testing of a passive ankle exoskeleton intended to provide a plantarflexion torque assist during the push off phase of gait. The design incorporates a Pneumatic Artificial Muscle as a non-linear elastic element to store and release energy during walking. The device also integrates a novel clutch mechanism design to engage and disengage the spring element about the ankle joint during walking such that it does not impede the ankle motion during swing phase. Mechanical testing demonstrated the prototypes ability to function adequately over the natural range of an ankle joint and...
Source: Biocybernetics and Biomedical Engineering - September 12, 2019 Category: Biomedical Engineering Source Type: research

Prediction of displacement in the equine third metacarpal bone using a neural network prediction algorithm
In this study, an artificial neural network (ANN) was used for the prediction of displacement in long bones followed by ex-vivo experiments. Three hydrated third metacarpal bones (MC3) from 3 thoroughbred horses were used in the experiments. A set of strain gauges were distributed around the midshaft of the bones. These bones were then loaded in compression in an MTS machine. The recordings of strains, load, rate of loading, and displacement were used as ANN input parameters. The ANN which was trained using 3250 experimental data points from two bones predicted the displacement of the third bone (R2 ≥ 0.98). It was s...
Source: Biocybernetics and Biomedical Engineering - September 10, 2019 Category: Biomedical Engineering Source Type: research

Investigating the effects of various suturing parameters on the leakage from the intestinal anastomosis site: Finite element analyses
Publication date: Available online 9 September 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Zahra Kanani, Gholamreza Rouhi, Sanaz Mosafer KhoorjestanAbstractIn this work, effects of various parameters, including regularity of sewing, distance of holes from the edge of the tissue (D), distance between holes (L), suturing pattern, and material and size of the suture on the leakage of human large intestine anastomosis site were investigated, using finite element method (FEM). The effects of various parameters of suturing on leakage were investigated in four different steps: (1) regularity of suturing; (2) v...
Source: Biocybernetics and Biomedical Engineering - September 10, 2019 Category: Biomedical Engineering Source Type: research

A hybrid regularized extreme learning machine for automated detection of pathological brain
Publication date: Available online 5 September 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi, Yudong ZhangAbstractThis paper presents an automated method for detection of pathological brain using magnetic resonance (MR) images. The proposed method suggests to derive features using fast discrete curvelet transform. A combined feature reduction algorithm principal component analysis + linear discriminant analysis (PCA + LDA) is then applied to generate a low-dimensional and discriminant feature vector. Finally, the classification is ca...
Source: Biocybernetics and Biomedical Engineering - September 6, 2019 Category: Biomedical Engineering Source Type: research

Antiradical properties of chemo drug, carboplatin, in cooperation with ZnO nanoparticles under UV irradiation in putative model of cancer cells
Publication date: Available online 4 September 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Suttirak Pairoj, Pattareeya Damrongsak, Badin Damrongsak, Natini Jinawath, Rossukon Kaewkhaw, Tanaporn Leelawattananon, Chinnapat Ruttanasirawit, Kitsakorn LocharoenratAbstractThe main objective of this study was to assess the antiradical properties of zinc oxide (ZnO) nanoparticles upon exposure to ultraviolet radiation with carboplatin, an anti-proliferative drug used in the treatment of retinoblastoma. For the purpose of this study, the decomposition of 2,2(diphenyl-1-picryhydrazyl) radical (DPPH*) was used to ...
Source: Biocybernetics and Biomedical Engineering - September 5, 2019 Category: Biomedical Engineering Source Type: research

Extracting multiple commands from a single SSVEP flicker using eye-accommodation
Publication date: Available online 5 September 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Kamal Sharma, Soumitra KarAbstractThe steady-state visually evoked potential (SSVEP) based brain-computer interfaces (BCIs) generally deploy flickering stimuli with different frequencies in order to generate different commands. This paper presents a setup that can be used to generate multiple commands from a single flickering stimulus using magnitude modulation of SSVEP through eye-accommodation. In this setup, a flickering stimulus was shown on the computer screen and a passive fixation target was placed between ...
Source: Biocybernetics and Biomedical Engineering - September 5, 2019 Category: Biomedical Engineering Source Type: research

Tissue coefficient of bioimpedance spectrometry as an index to discriminate different tissues in vivo
Publication date: Available online 31 August 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Ying Li, Ren Ma, Xin Wang, Jingna Jin, He Wang, Zhipeng Liu, Tao YinAbstractBioimpedance indicating cell and tissue condition of the living things is of great importance in impedance spectrum analysis and other related researches, in which measurement of the skin impedance is a tricky problem due to the peculiarity of the stratum corneum. The aim of the study is to develop a method to elucidate the skin impedance in a large frequency range and to find out a biomarker to estimate it.In this article, we introduce a no...
Source: Biocybernetics and Biomedical Engineering - August 31, 2019 Category: Biomedical Engineering Source Type: research

Social-Group-Optimization based tumor evaluation tool for clinical brain MRI of Flair/diffusion-weighted modality
This article proposes a two-stage image assessment tool to examine brain MR images acquired using the Flair and DW modalities. The combination of the Social-Group-Optimization (SGO) and Shannon’s-Entropy (SE) supported multi-thresholding is implemented to pre-processing the input images. The image post-processing includes several procedures, such as Active Contour (AC), Watershed and region-growing segmentation, to extract the tumor section. Finally, a classifier system is implemented using ANFIS to categorize the tumor under analysis into benign and malignant. Experimental investigation was executed using benchmark data...
Source: Biocybernetics and Biomedical Engineering - August 30, 2019 Category: Biomedical Engineering Source Type: research

Inter-patient ECG classification with convolutional and recurrent neural networks
Publication date: Available online 19 August 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Li Guo, Gavin Sim, Bogdan MatuszewskiAbstractThe recent advances in ECG sensor devices provide opportunities for user self-managed auto-diagnosis and monitoring services over the internet. This imposes the requirements for generic ECG classification methods that are inter-patient and device independent. In this paper, we present our work on using the densely connected convolutional neural network (DenseNet) and gated recurrent unit network (GRU) for addressing the inter-patient ECG classification problem. A deep lea...
Source: Biocybernetics and Biomedical Engineering - August 20, 2019 Category: Biomedical Engineering Source Type: research

P300 based character recognition using sparse autoencoder with ensemble of SVMs
In this study, a brain–computer interface (BCI) system known as P300 speller is used to spell the word or character without any muscle activity. For P300 signal classification, feature extraction is an important step. In this work, deep feature learning techniques based on sparse autoencoder (SAE) and stacked sparse autoencoder (SSAE) are proposed for feature extraction. Deep feature provides the abstract information about the signal. This work proposes fusion of deep features with the temporal features, which provides abstract and temporal information about the EEG signal. These deep feature and temporal feature are par...
Source: Biocybernetics and Biomedical Engineering - August 13, 2019 Category: Biomedical Engineering Source Type: research

Technology-based health promotion: Current state and perspectives in emerging gig economy
Publication date: Available online 12 August 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): Jafet Morales, Devasena Inupakutika, Sahak Kaghyan, David Akopian, Zenong Yin, Deborah Parra-Medina, Martin EvansAbstractIt has been a decade since smartphone application stores started allowing developers to post their own applications. This paper presents a narrative review on the state-of-the-art and the future of the technology used by researchers in the field of health promotion, which very often uses smartphones. In this area, researchers build high cost, complex systems with the purpose of promoting health an...
Source: Biocybernetics and Biomedical Engineering - August 13, 2019 Category: Biomedical Engineering Source Type: research

Application of decision tree in determining the importance of surface electrohysterography signal characteristics for recognizing uterine contractions
In conclusion, decision tree could be used to classify the uterine activities, and the Power and SamEn of un-normalized EHG segments were the most important characteristics in uterine contraction classification. (Source: Biocybernetics and Biomedical Engineering)
Source: Biocybernetics and Biomedical Engineering - August 9, 2019 Category: Biomedical Engineering Source Type: research