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Computers in Biology and Medicine

Kandala N V P S Rajesh, Ravindra Dhuli
Classifying electrocardiogram (ECG) heartbeats for arrhythmic risk prediction is a challenging task due to minute variations in the amplitude, duration and morphology of the ECG signal. In this paper, we propose two feature extraction approaches to classify five types of heartbeats: normal, premature ventricular contraction, atrial premature contraction, left bundle branch block and right bundle branch block. In the first approach, ECG beats are decomposed into intrinsic mode functions (IMFs) using ensemble empirical mode decomposition (EEMD)...
June 15, 2017: Computers in Biology and Medicine
Robson Rodrigues da Silva, Daniel Gustavo Goroso, Donald M Bers, José Luis Puglisi
Mathematical models of the cardiac cell have started to include markovian representations of the ionic channels instead of the traditional Hodgkin & Huxley formulations. There are many reasons for this: Markov models are not restricted to the idea of independent gates defining the channel, they allow more complex description with specific transitions between open, closed or inactivated states, and more importantly those states can be closely related to the underlying channel structure and conformational changes...
June 12, 2017: Computers in Biology and Medicine
Roshan J Martis, Hong Lin, Varadraj P Gurupur, Steven L Fernandes
No abstract text is available yet for this article.
June 9, 2017: Computers in Biology and Medicine
Salety Ferreira Baracho, Daniel José Lins Leal Pinheiro, Carlos Marcelo Gurjão de Godoy, Regina Célia Coelho
The myocardial infarction, known as heart attack, is the ultimate result of a prolonged/untreated cardiac ischemia. The accurate segmentation of the myocardial infarction or ischemia in images obtained from diversified sources, such as Magnetic Resonance Images or Echocardiograph, is worthwhile for the medical area or the animal experimentation. An alternative image source for ischemia/infarction segmentation is the photo, which can depict the actual heart image. This work presents a method for ischemia segmentation in rat heart photos...
June 7, 2017: Computers in Biology and Medicine
Chian-Her Lee, Ching-Chi Hsu, Po-Yuang Huang
The pelvis is one of the most stressed areas of the human musculoskeletal system due to the transfer of truncal loads to the lower extremities. Sacroiliac joint injury may lead to abnormal joint mechanics and an unstable pelvis. Various fixation techniques have been evaluated and discussed. However, it may be difficult to investigate each technique due to variations in bone quality, bone anatomy, fracture pattern, and fixation location. Additionally, the finite element method is one useful technology that avoids these variations...
June 7, 2017: Computers in Biology and Medicine
Tanushree Sharma, Kamalesh Kumar Sharma
The QRS complex is the most prominent feature in the electrocardiogram (ECG), therefore, its detection is required for delineation of other waves and segments in the ECG and derivation of additional clinically useful information. QRS detection is complicated by factors like varying QRS morphologies, noise, artefacts and interference from tall and pointed P- and T-waves. In this paper, we propose a novel technique for QRS detection by preprocessing the ECG using weighted total variation (WTV) denoising. A local estimate of noise in the signal block under consideration is used to determine the regularization parameter in WTV minimization, which determines the amount of smoothing applied...
June 7, 2017: Computers in Biology and Medicine
Raul Alonso-Calvo, Sergio Paraiso-Medina, David Perez-Rey, Enrique Alonso-Oset, Ruud van Stiphout, Sheng Yu, Marian Taylor, Francesca Buffa, Carlos Fernandez-Lozano, Alejandro Pazos, Victor Maojo
INTRODUCTION: The introduction of omics data and advances in technologies involved in clinical treatment has led to a broad range of approaches to represent clinical information. Within this context, patient stratification across health institutions due to omic profiling presents a complex scenario to carry out multi-center clinical trials. METHODS: This paper presents a standards-based approach to ensure semantic integration required to facilitate the analysis of clinico-genomic clinical trials...
June 5, 2017: Computers in Biology and Medicine
Laurent Simon
An integral-based method was employed to evaluate the behavior of a countercurrent hemodialyzer model. Solute transfer from the blood into the dialysate was described by writing mass balance equations over a section of the device. The approach provided Laplace transform concentration profiles on both sides of the membrane. Applications of the final value theorem led to the development of the effective time constants and steady-state concentrations in the exit streams. Transient responses were derived by a numerical inversion algorithm...
June 4, 2017: Computers in Biology and Medicine
Michał Sebastian Maćkowski, Piotr Franciszek Brzoza, Dominik Roland Spinczyk
BACKGROUND: There are many problems with teaching and assessing impaired students in higher education, especially in technical science, where the knowledge is represented mostly by structural information like: math formulae, charts, graphs, etc. Developing e-learning platform for distance education solves this problem only partially due to the lack of accessibility for the blind. METHOD: The proposed method is based on the decomposition of the typical mathematical exercise into a sequence of elementary sub-exercises...
June 3, 2017: Computers in Biology and Medicine
S Kota, C B Swisher, T Al-Shargabi, N Andescavage, A du Plessis, R B Govindan
BACKGROUND: Due to the high-frequency of routine interventions in an intensive care setting, electrocardiogram (ECG) recordings from sick infants are highly non-stationary, with recurrent changes in the baseline, alterations in the morphology of the waveform, and attenuations of the signal strength. Current methods lack reliability in identifying QRS complexes (a marker of individual cardiac cycles) in the non-stationary ECG. In the current study we address this problem by proposing a novel approach to QRS complex identification...
June 2, 2017: Computers in Biology and Medicine
Albion Dervishi
BACKGROUND: The decisions that clinicians make in intensive care units (ICUs) based on monitored parameters reflecting physiological deterioration are of major medical and biomedical engineering interest. These parameters have been investigated and assessed for their usefulness in risk assessment. METHODS: Totally, 127 ICU adult patients were studied. They were selected from a MIMIC II Waveform Database Matched Subset and had continuous monitoring of heart rate, invasive blood pressure, and oxygen saturation...
June 2, 2017: Computers in Biology and Medicine
Kan Sornbundit, Wannapong Triampo, Charin Modchang
In this work, a mathematical model for describing diphtheria transmission in Thailand is proposed. Based on the course of diphtheria infection, the population is divided into 8 epidemiological classes, namely, susceptible, symptomatic infectious, asymptomatic infectious, carrier with full natural-acquired immunity, carrier with partial natural-acquired immunity, individual with full vaccine-induced immunity, and individual with partial vaccine-induced immunity. Parameter values in the model were either directly obtained from the literature, estimated from available data, or estimated by means of sensitivity analysis...
June 2, 2017: Computers in Biology and Medicine
Aydın Kaya, Ali Seydi Keçeli, Ahmet Burak Can, Hasan Basri Çakmak
BACKGROUND AND OBJECTIVES: Measurements of the cyclotorsional movement of the eye are crucial in refractive surgery procedures. The planned surgery pattern may vary substantially during an operation because of the position and eye movements of the patient. Since these factors affect the outcome of an operation, eye registration methods are applied in order to compensate for errors. While the majority of applications are based on features of the iris, we propose a registration method which uses scleral blood vessels...
June 1, 2017: Computers in Biology and Medicine
Jimena Olveres, Rodrigo Nava, Boris Escalante-Ramírez, Enrique Vallejo, Jan Kybic
In recent years, computed tomography (CT) has become a standard technique in cardiac imaging because it provides detailed information that may facilitate the diagnosis of the conditions that interfere with correct heart function. However, CT-based cardiac diagnosis requires manual segmentation of heart cavities, which is a difficult and time-consuming task. Thus, in this paper, we propose a novel technique to segment endocardium and epicardium boundaries based on a 2D approach. The proposal computes relevant information of the left ventricle and its adjacent structures using the Hermite transform...
May 31, 2017: Computers in Biology and Medicine
Nansu Zong, Sungin Lee, Jinhyun Ahn, Hong-Gee Kim
OBJECTIVE: The keyword-based entity search restricts search space based on the preference of search. When given keywords and preferences are not related to the same biomedical topic, existing biomedical Linked Data search engines fail to deliver satisfactory results. This research aims to tackle this issue by supporting an inter-topic search-improving search with inputs, keywords and preferences, under different topics. METHODS: This study developed an effective algorithm in which the relations between biomedical entities were used in tandem with a keyword-based entity search, Siren...
May 31, 2017: Computers in Biology and Medicine
Shuqiong Wu, Megumi Nakao, Tetsuya Matsuda
Although preoperative Computed tomography images are widely used in intraoperative navigation, they can not provide precise information for organs such as the lungs, which deform severely during surgery because of deflation. By segmenting lung regions using intraoperative endoscopic images, a more accurate navigation can be obtained because endoscopic images directly provide real-time organ descriptions. However, satisfactory segmentation is rarely achieved with the algorithms in the literature due to the high deformability of the lungs and similarity between the background and object...
May 31, 2017: Computers in Biology and Medicine
David Cuesta-Frau, Pau Miró-Martínez, Jorge Jordán Núñez, Sandra Oltra-Crespo, Antonio Molina Picó
This paper evaluates the performance of first generation entropy metrics, featured by the well known and widely used Approximate Entropy (ApEn) and Sample Entropy (SampEn) metrics, and what can be considered an evolution from these, Fuzzy Entropy (FuzzyEn), in the Electroencephalogram (EEG) signal classification context. The study uses the commonest artifacts found in real EEGs, such as white noise, and muscular, cardiac, and ocular artifacts. Using two different sets of publicly available EEG records, and a realistic range of amplitudes for interfering artifacts, this work optimises and assesses the robustness of these metrics against artifacts in class segmentation terms probability...
May 31, 2017: Computers in Biology and Medicine
Behzad Hejrati, Abdolhossein Fathi, Fardin Abdali-Mohammadi
Compression algorithm is an essential part of Telemedicine systems, to store and transmit large amount of medical signals. Most of existing compression methods utilize fixed transforms such as discrete cosine transform (DCT) and wavelet and usually cannot efficiently extract signal redundancy especially for non-stationary signals such as electroencephalogram (EEG). In this paper, we first propose learning-based adaptive transform using combination of DCT and artificial neural network (ANN) reconstruction technique...
May 24, 2017: Computers in Biology and Medicine
Takeshi Tsutsumi, Yoshiwo Okamoto, Nami Takano, Daisuke Wakatsuki, Takanobu Tomaru, Toshiaki Nakajima
BACKGROUND: The distribution of frequency power (DFP) within the QRS complex (QRS) is unclear. This study aimed to investigate the DFP within the QRS in ischemic cardiomyopathy (ICM) with lethal ventricular arrhythmias (L-VA). A computer simulation was performed to explore the mechanism of abnormal frequency power. METHODS: The study included 31 ICM patients with and without L-VA (n = 10 and 21, respectively). We applied the continuous wavelet transform to measure the time-frequency power within the QRS...
May 22, 2017: Computers in Biology and Medicine
Arthur Gatouillat, Antoine Dumortier, Subashan Perera, Youakim Badr, Claudine Gehin, Ervin Sejdić
Writing is a complex fine and trained motor skill, involving complex biomechanical and cognitive processes. In this paper, we propose the study of writing kinetics using three angles: the pen-tip normal force, the total grip force signal and eventually writing quality assessment. In order to collect writing kinetics data, we designed a sensor collecting these characteristics simultaneously. Ten healthy right-handed adults were recruited and were asked to perform four tasks: first, they were instructed to draw circles at a speed they considered comfortable; they then were instructed to draw circles at a speed they regarded as fast; afterwards, they repeated the comfortable task compelled to follow the rhythm of a metronome; and eventually they performed the fast task under the same timing constraints...
May 22, 2017: Computers in Biology and Medicine
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