The Attractor Recurrent Neural Network Based on Fuzzy Functions: An Effective Model for the Classification of Lung Abnormalities
The respiratory system dynamic is of high significance when it comes to the detection of lung abnormalities, which highlights the importance of presenting a reliable model for it. In this paper, we introduce a novel dynamic modelling method for the characterization of the lung sounds (LS), based on the attractor recurrent neural network (ARNN). The ARNN structure allows the development of an effective LS model. Additionally, it has the capability to reproduce the distinctive features of the lung sounds using its formed attractors. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 23, 2017 Category: Bioinformatics Authors: Mohammad Bagher Khodabakhshi, Mohammad Hassan Moradi Source Type: research
Estimating bradykinesia severity in Parkinson's disease by analysing gait through a waist-worn sensor
Bradykinesia is a cardinal symptom of Parkinson's disease (PD) and describes the slowness of movement revealed in patients. Current PD therapies are based on dopamine replacement, and given that bradykinesia is the symptom that best correlates with the dopaminergic deficiency, the knowledge of its fluctuations may be useful in the diagnosis, treatment and better understanding of the disease progression. This paper evaluates a machine learning method that analyses the signals provided by a triaxial accelerometer placed on the waist of PD patients in order to automatically assess bradykinetic gait unobtrusively. (Source: Com...
Source: Computers in Biology and Medicine - March 23, 2017 Category: Bioinformatics Authors: A. Sam à, C. Pérez-López, D. Rodríguez-Martín, A. Català, J.M. Moreno-Aróstegui, J. Cabestany, E. de Mingo, A. Rodríguez-Molinero Source Type: research
Effects of Cellular Electromechanical Coupling on Functional Heterogeneity in a One-Dimensional Tissue Model of the Myocardium
Based on the experimental evidence, we developed a one-dimensional (1D) model of heterogeneous myocardial tissue consisting of in-series connected cardiomyocytes from distant transmural regions using mathematical models of subendocardial and subepicardial cells. The regional deformation patterns produced by our 1D model are consistent with the transmural regional strain patterns obtained experimentally in the normal heart in vivo. The modelling results suggest that the mechanical load may essentially affect the transmural gradients in the electrical and mechanical properties of interacting myocytes within a tissue, thereby...
Source: Computers in Biology and Medicine - March 23, 2017 Category: Bioinformatics Authors: Anastasia Khokhlova, Nathalie Balakina-Vikulova, Leonid Katsnelson, Olga Solovyova Source Type: research
A fluid-structure interaction model of THe internal carotid and ophthalmic arteries for THE Noninvasive intracranial pressure measurement method
Accurate and clinically safe measurements of intracranial pressure (ICP) are crucial for secondary brain damage prevention. There are two methods of ICP measurement: invasive and noninvasive. Invasive methods are clinically unsafe; therefore, safer noninvasive methods are being developed. One of the noninvasive ICP measurement methods implements the balance principle, which assumes that if the velocity of blood flow in both ophthalmic artery segments – the intracranial (IOA) and extracranial (EOA) – is equal, then the acting ICP on the IOA and the external pressure (Pe) on the EOA are also equal. (Source: Computers in ...
Source: Computers in Biology and Medicine - March 22, 2017 Category: Bioinformatics Authors: Edgaras Misiulis, Algis D žiugys, Robertas Navakas, Nerijus Striūgas Source Type: research
Optimization of Cell Seeding in a 2D Bio-Scaffold System using Computational Models
The cell expansion process is a crucial part of generating cells on a large-scale level in a bioreactor system. Hence, it is important to set operating conditions (e.g. initial cell seeding distribution, culture medium flow rate) to an optimal level. Often, the initial cell seeding distribution factor is neglected and/or overlooked in the design of a bioreactor using conventional seeding distribution methods. This paper proposes a novel seeding distribution method that aims to maximize cell growth and minimize production time/cost. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 21, 2017 Category: Bioinformatics Authors: Nicholas Ho, Matthew Chua, Chee-Kong Chui Source Type: research
Joint Multiple Fully Connected Convolutional Neural Network with Extreme Learning Machine for Hepatocellular Carcinoma Nuclei Grading
Accurate cell grading on cancerous tissue pathological image is of great importance in medical diagnosis and treatment. This paper proposes a joint multiple fully connected convolutional neural network with extreme learning machine (MFC-CNN-ELM) architecture for hepatocellular carcinoma (HCC) nuclei grading. First, in preprocessing stage, each grayscale image patch with the fixed size is obtained using center-proliferation segmentation (CPS) method and the corresponding labels are marked under the guidance of three pathologists. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 21, 2017 Category: Bioinformatics Authors: Siqi Li, Huiyan Jiang, Wenbo Pang Source Type: research
Finite element method-based study for effect of adult degenerative scoliosis on the spinal vibration characteristics
Finite element analysis was used to investigate the responses of five healthy subjects and five adult degenerative scoliosis (ADS) subjects to cyclic vibration. The dynamic responses of the healthy and scoliotic spines to the sinusoidal cyclic vibrations have been investigated in previous studies by simulation or experimental approaches. However, no simulation or experimental results were available for the ADS subjects. The effect of the ADS on the vibrational characteristics of spines remained unknown. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 21, 2017 Category: Bioinformatics Authors: Ming Xu, James Yang, Isador Lieberman, Ram Haddas Source Type: research
Helicobacter Pylori Infection Detection from Gastric X-ray Images Based on Feature Fusion and Decision Fusion
In this paper, a fully automatic method for detection of Helicobacter pylori (H. pylori) infection is presented with the aim of constructing a computer-aided diagnosis (CAD) system. In order to realize a CAD system with good performance for detection of H. pylori infection, we focus on the following characteristic of stomach X-ray examination. The accuracy of X-ray examination differs depending on the symptom of H. pylori infection that is focused on and the position from which X-ray images are taken. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 20, 2017 Category: Bioinformatics Authors: Kenta Ishihara, Takahiro Ogawa, Miki Haseyama Source Type: research
Blood Flow Velocity Prediction in Aorto-iliac Stent Grafts Using Computational Fluid Dynamics and Taguchi Method
Covered Endovascular Reconstruction of Aortic Bifurcation (CERAB) is a new technique to treat extensive aortoiliac occlusive disease with covered expandable stent grafts to rebuild the aortoiliac bifurcation. Post stenting Doppler ultrasound (DUS) measurement of maximum peak systolic velocity (PSVmax) in the stented segment is widely used to determine patency and for follow up surveillance due to the portability, affordability and ease of use. Anecdotally, changes in haemodynamics created by CERAB can lead to falsely high PSVmax requiring CT angiography (CTA) for further assessment. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 20, 2017 Category: Bioinformatics Authors: Albert Y. Chong, Barry J. Doyle, Shirley Jansen, Stefan Ponosh, Julien Cisonni, Zhonghua Sun Source Type: research
Automated Diabetic Macular Edema (DME) Grading System using DWT, DCT Features and Maculopathy Index
The cause of diabetic macular edema (DME) is due to prolonged and uncontrolled diabetes mellitus (DM) which affects the vision of diabetic subjects. DME is graded based on the exudate location from the macula. It is clinically diagnosed using fundus images which is tedious and time-consuming. Regular eye screening and subsequent treatment may prevent the vision loss. Hence, in this work, a hybrid system based on Radon transform (RT), discrete wavelet transform (DWT) and discrete cosine transform (DCT) are proposed for an automated detection of DME. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 18, 2017 Category: Bioinformatics Authors: U. Rajendra Acharya, Muthu Rama Krishnan Mookiah, Joel E.W. Koh, Jen Hong Tan, Sulatha V. Bhandary, A Krishna Rao, Yuki Hagiwara, Chua Kuang Chua, Augustinus Laude Source Type: research
A New Approach to Estimating the Evoked Hemodynamic Response Applied to Dual Channel Functional Near Infrared Spectroscopy
Brain activity can be measured non-invasively by means of functional near-infrared spectroscopy (fNIRS) which records hemodynamics of the brain tissue. Sensitivity of fNIRS to the brain activity is however being affected by natural physiological brain hemodynamics (systemic interferences). Functional hemodynamic signal extraction from physiological interferences still remains a challenging task. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 17, 2017 Category: Bioinformatics Authors: Reza Arefi Shirvan, Seyed Kamaledin Setarehdan, Ali Motie Nasrabadi Source Type: research
Music and natural sounds in an auditory steady-state response based brain –computer interface to increase user acceptance
Patients with total locked-in syndrome are conscious; however, they cannot express themselves because most of their voluntary muscles are paralyzed, and many of these patients have lost their eyesight. To improve the quality of life of these patients, there is an increasing need for communication-supporting technologies that leverage the remaining senses of the patient along with physiological signals. The auditory steady-state response (ASSR) is an electro-physiologic response to auditory stimulation that is amplitude-modulated by a specific frequency. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 17, 2017 Category: Bioinformatics Authors: Jeong Heo, Hyun Jae Baek, Seunghyeok Hong, Min Hye Chang, Jeong Su Lee, Kwang Suk Park Source Type: research
Relationship between Carotid Artery Sclerosis and Blood Pressure Variability in Essential Hypertension Patients
This study aimed to investigate the relationship between the presence of carotid arteriosclerosis (CAS) and blood pressure variability (BPV) in patients with essential hypertension. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 17, 2017 Category: Bioinformatics Authors: Xianglin Chi, Min Li, Xia Zhan, Honghao Man, Shunliang Xu, Dingchang Zheng, Jianzhong Bi, Yingcui Wang, Chengyu Liu Source Type: research
Diagnosis of Retinal Health in Digital Fundus Images Using Continuous Wavelet Transform (CWT) and Entropies
Vision is paramount to humans to lead an active personal and professional life. The prevalence of ocular diseases is rising, and diseases such as glaucoma, Diabetic Retinopathy (DR) and Age-related Macular Degeneration (AMD) are the leading causes of blindness in developed countries. Identifying these diseases in mass screening programmes is time-consuming, labor-intensive and the diagnosis can be subjective. The use of an automated computer aided diagnosis system will reduce the time taken for analysis and will also reduce the inter-observer subjective variabilities in image interpretation. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 14, 2017 Category: Bioinformatics Authors: Joel E.W. Koh, U. Rajendra Acharya, Yuki Hagiwara, U Raghavendra, Jen Hong Tan, S. Vinitha Sree, Sulatha V. Bhandary, A. Krishna Rao, Sobha Sivaprasad, Kuang Chua Chua, Augustinus Laude, Louis Tong Source Type: research
Phase Change Heat Transfer during Cryosurgery of Lung Cancer using Hyperbolic Heat Conduction Model
The paper reports a numerical study of phase change heat transfer process in lung cancer undergoing cryosurgery. A two dimensional hyperbolic bio-heat model with non-ideal property of tissue, blood perfusion and metabolism is used to analyze the problem. The governing equations are solved by finite difference method based on enthalpy formulation. Effects of relaxation time of heat flux in hyperbolic model on freezing process have been examined. A comparative investigation of two different models (hyperbolic and parabolic bio-heat models) is also presented. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - March 14, 2017 Category: Bioinformatics Authors: Ajay Kumar, Sushil Kumar, V.K. Katiyar, Shirley Telles Source Type: research
