Mining Balance Disorders ′ data for the development of Diagnostic Decision Support Systems
In this work we present the methodology for the development of the EMBalance diagnostic Decision Support System (DSS) for balance disorders. Medical data from patients with balance disorders have been analysed using data mining techniques for the development of the diagnostic DSS. The proposed methodology uses various data, ranging from demographic characteristics to clinical examination, auditory and vestibular tests, in order to provide an accurate diagnosis. The system aims to provide decision support for general practitioners (GPs) and experts in the diagnosis of balance disorders as well as to provide recommendations ...
Source: Computers in Biology and Medicine - August 23, 2016 Category: Bioinformatics Authors: T.P. Exarchos, G. Rigas, A. Bibas, D. Kikidis, C. Nikitas, F.L. Wuyts, B. Ihtijarevic, L. Maes, M. Cenciarini, C. Maurer, N. Macdonald, D.-E. Bamiou, L. Luxon, M. Prasinos, G. Spanoudakis, D.D. Koutsouris, D.I. Fotiadis Source Type: research
Optimization of a generalized radial-aortic transfer function using parametric techniques
The central aortic blood pressure (cBP) waveform, which is different to that of peripheral locations, is a clinically important parameter for assessing cardiovascular function, however the gold standard for measuring cBP involves invasive catheter-based techniques. The difficulties associated with invasive measurements have given rise to the development of a variety of noninvasive methods. An increasingly applied method for the noninvasive derivation of cBP involves the application of transfer function (TF) techniques to a non-invasively measured radial blood pressure (BP) waveform. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - August 22, 2016 Category: Bioinformatics Authors: Cagla Akalanli, David Tay, James D. Cameron Source Type: research
Adaptive Fourier decomposition based ECG denoising
A novel ECG denoising method is proposed based on the adaptive Fourier decomposition (AFD). The AFD decomposes a signal according to its energy distribution, thereby making this algorithm suitable for separating pure ECG signal and noise with overlapping frequency ranges but different energy distributions. A stop criterion for the iterative decomposition process in the AFD is calculated on the basis of the estimated signal-to-noise ratio (SNR) of the noisy signal. The proposed AFD-based method is validated by the synthetic ECG signal using an ECG model and also real ECG signals from the MIT-BIH Arrhythmia Database both wit...
Source: Computers in Biology and Medicine - August 20, 2016 Category: Bioinformatics Authors: Ze Wang, Feng Wan, Chi Man Wong, Liming Zhang Source Type: research
Effects of partial middle turbinectomy with varying resection volume and location on nasal functions and airflow characteristics by CFD
The surgical term “turbinectomy” encompasses many variations in the location and extent of removal. As a systemic approach to consider the negative impact of middle turbinectomy(MT), such as the excessive removal of turbinate, airflows inside a pre-surgery model and a series of virtual surgery models were numeric ally analyzed and compared. These models simulate three variations of partial MT(three bilateral and three unilateral) with varying resection volume and location. Each middle turbinectomy results in alterations of flow and thermal parameters, such as nasal resistance (NR), velocity, temperature, wal l shear st...
Source: Computers in Biology and Medicine - August 20, 2016 Category: Bioinformatics Authors: Kyun Bum Lee, Young Sun Jeon, Seung-Kyu Chung, Sung Kyun Kim Source Type: research
An electro-mechanical multiscale model of uterine pregnancy contraction
Detecting preterm labor as early as possible is important because tocolytic drugs are much more likely to delay preterm delivery if administered early. Having good information on the real risk of premature labor also leads to fewer women who do not need aggressive treatment for premature labor threat. Currently, one of the most promising ways to diagnose preterm labor threat is the analysis of the electrohysterogram (EHG). Its characteristics have been related to preterm labor risk but they have not proven to be sufficiently accurate to use in clinical routine. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - August 17, 2016 Category: Bioinformatics Authors: Maxime Yochum, J érémy Laforêt, Catherine Marque Source Type: research
Analysis of cornea curvature using radial basis functions – Part I: Methodology
We discuss the solution of cornea curvature using a meshless method based on radial basis functions (RBFs). A full two-dimensional nonlinear thin membrane partial differential equation (PDE) model is introduced and solved using the multiquadratic (MQ) and inverse multiquadratic (IMQ) RBFs. This new approach does not rely on radial symmetry or other simplifying assumptions in respect of the cornea shape. It also provides an alternative to corneal topography modeling methods requiring accurate material parameter values, such as Young's modulus and Poisson ratio, that may not be available. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - August 14, 2016 Category: Bioinformatics Authors: G.W. Griffiths, Ł. Płociniczak, W.E. Schiesser Source Type: research
Inverse Visualization concept for RGB-D Augmented C-arms
X-ray is still the essential imaging for many minimally-invasive interventions. Overlaying X-ray images with an optical view of the surgery scene has been demonstrated to be an efficient way to reduce radiation exposure and surgery time. However, clinicians are recommended to place the X-ray source under the patient table while the optical view of the real scene must be captured from the top in order to see the patient, surgical tools, and the surgical site. With the help of a RGB-D (red-green-blue-depth) camera, which can measure depth in addition to color, the 3D model of the real scene is registered to the X-ray image. ...
Source: Computers in Biology and Medicine - August 14, 2016 Category: Bioinformatics Authors: Xiang Wang, Severine Habert, Christian Schulte zu Berge, Pascal Fallavollita, Nassir Navab Source Type: research
Analysis of cornea curvature using radial basis functions - Part I: Methodology
We discuss the solution of cornea curvature using a meshless method based on radial basis functions (RBFs). A full two –dimensional nonlinear thin membrane partial differential equation (PDE) model is introduced and solved using the multiquadratic (MQ) and inverse multiquadratic (IMQ) RBFs. This new approach does not rely on radial symmetry or other simplifying assumptions in respect of the cornea shape. It also p rovides an alternative to corneal topography modeling methods requiring accurate material parameter values, such as Young's modulus and Poisson ratio, that may not be available. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - August 14, 2016 Category: Bioinformatics Authors: G.W. Griffiths, Ł. Płociniczak, W.E. Schiesser Source Type: research
An algorithm for sleep apnea detection from single-lead ECG using Hermite Basis functions
This paper introduces a methodology for the detection of sleep apnea based on single-lead electrocardiogram (ECG) of the patient. In the proposed technique, each QRS complex of the ECG signal is approximated using a linear combination of the lower order Hermite basis functions. The coefficients of the Hermite expansion are then used to discriminate the apnea and normal segments along with three features based on R-R time series (mean of R-R intervals, the standard deviation of R-R intervals) and energy in the error of the QRS approximation. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - August 12, 2016 Category: Bioinformatics Authors: Hemant Sharma, K.K. Sharma Source Type: research
Hardware Design of the Cortical-Diencephalic Centre of the Lower Urinary Tract Neuroregulator System
The neuroregulator system in humans controls organ and system functioning. This system comprises a set of neural centres that are distributed along the spinal cord and act independently together with their nerve interconnections. The centres involved in this task were isolated in previous studies through investigations of the functioning and composition of the neuroregulator system of the lower urinary tract to elucidate their individual performances and enable the creation of a general neuroregulator system model capable of operating at the neuronal level. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - August 11, 2016 Category: Bioinformatics Authors: Francisco Maci á-Pérez, Leandro Zambrano-Mendez, José-Vicente Berna-Martínez, Roberto Sepúlveda-Lima Source Type: research
Toward brain-actuated car applications: Self-paced control with a motor imagery-based brain-computer interface
This study presented a paradigm for controlling a car using an asynchronous electroencephalogram (EEG)-based brain-computer interface (BCI) and presented the experimental results of a simulation performed in an experimental environment outside the laboratory. This paradigm uses two distinct MI tasks, imaginary left- and right-hand movements, to generate a multi-task car control strategy consisting of starting the engine, moving forward, turning left, turning right, moving backward, and stopping the engine. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - August 11, 2016 Category: Bioinformatics Authors: Yang Yu, Zongtan Zhou, Erwei Yin, Jun Jiang, Jingsheng Tang, Yadong Liu, Dewen Hu Source Type: research
Automatic Deformable Surface Registration for Medical Applications by Radial Basis Function-Based Robust Point-Matching
Deformable surface mesh registration is a useful technique for various medical applications, such as intra-operative treatment guidance and intra- or inter-patient study. In this paper, we propose an automatic deformable mesh registration technique. The proposed method iteratively deforms a source mesh to a target mesh without manual feature extraction. Each iteration of the registration consists of two steps, automatic correspondence finding using robust point-matching (RPM) and local deformation using a radial basis function (RBF). (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - August 10, 2016 Category: Bioinformatics Authors: Youngjun Kim, Yong Hum Na, Lei Xing, Rena Lee, Sehyung Park Source Type: research
A Conway –Maxwell–Poisson (CMP) model to address data dispersion on positron emission tomography
Positron emission tomography (PET) in medicine exploits the properties of positron-emitting unstable nuclei. The pairs of - rays emitted after annihilation are revealed by coincidence detectors and stored as projections in a sinogram. It is well known that radioactive decay follows a Poisson distribution; however, deviation from Poisson statistics occurs on PET projection data prior to reconstruction due to physical effects, measurement errors, correction of deadtime, scatter, and random coincidences. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - August 5, 2016 Category: Bioinformatics Authors: Maria Filomena Santarelli, Daniele Della Latta, Michele Scipioni, Vincenzo Positano, Luigi Landini Source Type: research
A conway-maxwell-poisson (cmp) model to address data dispersion on positron emission tomography
Positron emission tomography (PET) in medicine exploits the properties of positron-emitting unstable nuclei. The pairs of - rays emitted after annihilation are revealed by coincidence detectors and stored as projections in a sinogram. It is well known that radioactive decay follows a Poisson distribution; however, deviation from Poisson statistics occurs on PET projection data prior to reconstruction due to physical effects, measurement errors, correction of deadtime, scatter, and random coincidences. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - August 5, 2016 Category: Bioinformatics Authors: Maria Filomena Santarelli, Daniele Della Latta, Michele Scipioni, Vincenzo Positano, Luigi Landini Source Type: research
A guide for the application of analytics on healthcare processes: a dynamic view on patient pathways
Objective: The aim of this study is to guide healthcare instances in applying process analytics on healthcare processes. Process analytics techniques can offer new insights in patient pathways, workflow processes, adherence to medical guidelines and compliance with clinical pathways, but also bring along specific challenges which will be examined and addressed in this paper.Methods: The following methodology is proposed: log preparation; log inspection; abstraction and selection; clustering; process mining; and validation. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - August 5, 2016 Category: Bioinformatics Authors: Jasmien Lismont, Anne-Sophie Janssens, Irina Odnoletkova, Seppe vanden Broucke, Filip Caron, Jan Vanthienen Source Type: research
