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Ventricular Fibrillation and Tachycardia Detection from Surface ECG using time-frequency Representation Images as Input Dataset for Machine Learning
Background and objective: To safely select the proper therapy for Ventricullar Fibrillation (VF) is essential to distinct it correctly from Ventricular Tachycardia (VT) and other rhythms. Provided that the required therapy would not be the same, an erroneous detection might lead to serious injuries to the patient or even cause Ventricular Fibrillation (VF). The main novelty of this paper is the use of time-frequency (t-f) representation images as the direct input to the classifier. We hypothesize that this method allow to improve classification results as it allows to eliminate the typical feature selection and extraction ...
Source: Computer Methods and Programs in Biomedicine - February 9, 2017 Category: Bioinformatics Authors: A. Mjahad, A. Rosado-Mu ñoz, M. Bataller-Mompeán, J.V. Francés-Víllora, J.F. Guerrero-Martínez Source Type: research

Statistical Tools for the Temporal Analysis and Classification of Lung Lesions
According to GLOBOCAN, lung cancer is one of most common types of cancer worldwide, and has a high morbidity rate  [1]. Statistics from the National Cancer Institute (NCI) [2] show that despite a reduction in the number of cases of lung cancer, its rate of occurrence in the United States remains high. In Brazil, the situation is similar. It is the second most frequently occurring type of cancer among men, and the fourth among women [3]. In addition, according to the NCI the five-year survival rate is only 16.6% [1] in the United States. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - February 9, 2017 Category: Bioinformatics Authors: Stelmo Magalh ães Barros Netto, Aristófanes Corrêa Silva, Hélio Lopes, Anselmo Cardoso de Paiva, Rodolfo Acatauassú Nunes, Marcelo Gattass Source Type: research

A new survival status prediction system for severe trauma patients based on a multiple classifier system
Traumatic injuries are defined as those kinds of damage to the body that are produced by energy exchanges [1] like car crashes and falls among others. Trauma is a major public health issue worldwide, since it is one of the leading causes of death and disability and it also has high medical and social costs [2,3], involving direct and indirect costs like health care, social care and loss of productivity. More specifically, for people under thirty-five, injury is the leading cause of death. According to the World Health Organization, traffic accidents will go from being the ninth-largest single cause of global deaths (irresp...
Source: Computer Methods and Programs in Biomedicine - February 9, 2017 Category: Bioinformatics Authors: Jos é Sanz, Daniel Paternain, Mikel Galar, Javier Fernandez, Diego Reyero, Tomás Belzunegui Source Type: research

Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies
The drug discovery and development are difficult processes because they are comprehensive, expensive, time-consuming and have full risks from novel drug targets to U.S. Food and Drug Administration (FDA) approved drug to marketing of a novel molecular entity [1]. In order to identify potantially inappropriate molecules from a compound library, computer-aided drug design based on the molecular descriptors derived from compound structures is developed and applied in the early drug discovery process [2]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - February 7, 2017 Category: Bioinformatics Authors: Aytun Onay, Melih Onay, Osman Abul Source Type: research

A Method to Differentiate between Ventricular Fibrillation and Asystole during Chest Compressions Using Artifact-Corrupted ECG Alone
Early defibrillation in conjunction with chest compression (CC) is crucial for the return of spontaneous circulation (ROSC) in patients suffering from cardiac arrest [1,2]. The current application of an automated external defibrillator (AED) requires CCs to be interrupted during automatic rhythm analysis, as the mechanical activity from the CCs introduces artifact components into the electrocardiogram (ECG) signal and causes inaccuracy of the shock/nonshock decision of the AED [3]. However, the interruption of CCs compromises circulation and further adversely affects the ROSC probability [4 –6]. (Source: Computer Methods...
Source: Computer Methods and Programs in Biomedicine - February 2, 2017 Category: Bioinformatics Authors: Guang Zhang, Taihu Wu, Zongming Wan, Zhenxing Song, Ming Yu, Dan Wang, Liangzhe Li, Feng Chen, Xinxi Xu Source Type: research

Hs-CRP is strongly associated with coronary heart disease (CHD): A data mining approach using decision tree algorithm
Coronary heart disease (CHD) is responsible for 13.3% deaths globally, and is also the most common cause of disability [1]. The most important traditional risk factors of CHD are age, high body mass index, male gender, type 2 diabetes, hypertension, and dyslipidemia [2]. Atherosclerosis is the most prevalent cause of CHD. It is a complex process, that is initiated by changes in endothelium and leads to atherosclerotic plaque formation. Atheroma narrows the coronary artery and reduces the blood supply to the myocardium [3]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - February 2, 2017 Category: Bioinformatics Authors: Maryam Tayefi, Mohammad Tajfard, Sara Saffar, Parichehr Hanachi, Ali Reza Amirabadizadeh, Habibollah Esmaeily, Ali Taghipour, Gordon A. Ferns, Mohsen Moohebati, Majid Ghayour-Mobarhan Source Type: research

An interactive platform to guide catheter ablation in human persistent atrial fibrillation using dominant frequency, organization and phase mapping
Optimal targets for persistent atrial fibrillation (persAF) ablation are still debated. Atrial regions hosting high dominant frequency (HDF) are believed to participate in the initiation and maintenance of persAF and hence are potential targets for ablation, while rotor ablation has shown promising initial results. Currently, no commercially available system offers the capability to automatically identify both these phenomena. This paper describes an integrated 3D software platform combining the mapping of both frequency spectrum and phase from atrial electrograms (AEGs) to help guide persAF ablation in clinical cardiac el...
Source: Computer Methods and Programs in Biomedicine - January 24, 2017 Category: Bioinformatics Authors: Xin Li, Jo ão L Salinet, Tiago P Almeida, Frederique J Vanheusden, Gavin S Chu, G André Ng, Fernando S Schlindwein Source Type: research

A Low-Rank Matrix Factorization Approach for Joint Harmonic and Baseline Noise Suppression in Biopotential Signals
Noise removal is very often a crucial step in processing and interpreting biopotential data. The noise artifacts most commonly encountered in such signals are harmonic (a.k.a. powerline) and baseline noise. Harmonic noise is characterized by a few time-variant harmonic components centered at integer multiples of the fundamental frequency (50 Hz/60 Hz). It typically arises as a combination of several unwanted effects: capacitive coupling between the subject and power lines, differences in the electrode impedances, separation between the electrodes, measurement interconnections, to name a few [1 –4]. (Source: Computer Meth...
Source: Computer Methods and Programs in Biomedicine - January 22, 2017 Category: Bioinformatics Authors: Miroslav Zivanovic, Maciej Niegowski, Pablo Lecumberri, Marisol G ómez Source Type: research

Experimental investigation of the structural behavior of equine urethra
Dysfunctions of the lower urinary tract are present in both men and women [2],[3],[22],[26] and their social impact is relevant [10],[29],[31],[44]. Surgical repair procedures supported by biomedical devices are nowadays available [8],[15],[41]. Nevertheless, data regarding the mechanical behavior of biological tissues and structures of the urethral duct have been poorly reported, determining a lack of interpretation about the function of the devices themselves [4],[6],[17],[21],[23],[27],[32],[39]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 19, 2017 Category: Bioinformatics Authors: Natali Arturo Nicola, Carniel Emanuele Luigi, Frigo Alessandro, Fontanella Chiara Giulia, Rubini Alessandro, Avital Yochai, De Benedictis Giulia Maria Source Type: research

Simulation of Laser Backscattering System for Imaging of Inhomogeneity/Tumor in Biological Tissues
The interaction of laser radiation with biological tissues within the optical therapeutic window (600-1300nm) is associated with enhanced scattering and less absorption, thus allowing the laser beam to penetrate deeper into the tissues. A fraction of the incident beam after multiple interactions with tissues emerges as backscattered away from the beam entry position, a part of the beam is transmitted, and the remaining part is absorbed within the medium [1,2]. During the development of cancer many processes get activated inside the cells, leading to accelerated cell proliferation, reduced apoptosis and neo-vascularization ...
Source: Computer Methods and Programs in Biomedicine - January 19, 2017 Category: Bioinformatics Authors: J.B. Jeeva, Megha Singh Source Type: research

Cancer Subtype Prediction from a Pathway-level Perspective by Using a Support Vector Machine based on Integrated Gene Expression and Protein Network
Gene expressions differ in different diseases, and cells affected by the same disease can have different gene expressions. Furthermore, distinguishing different disease types at a single location is difficult. Previous studies have reported distinguishing different disease types through clinical observations and by determining differences through pathological experiments [1, 2]. For example, brain tumors were classified according to the location of the tumor in the brain, type of tissues involved, and the original location of the tumor. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 19, 2017 Category: Bioinformatics Authors: Fei-Hung Hung, Hung-Wen Chiu Source Type: research

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm
Data mining refers to the extraction of valid patterns, hidden information and relationships from large datasets [1]. This interdisciplinary subfield is employed in banking, insurance, and marketing for cost reduction and quality improvement [2]. Recent years have witnessed a surge of interest in utilizing machine learning and data mining in the field of medicine for early diagnosis [3 –10]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 17, 2017 Category: Bioinformatics Authors: Zeinab Arabasadi, Roohallah Alizadehsani, Mohamad Roshanzamir, Hossein Moosaei, Ali Asghar Yarifard Source Type: research

A Novel Retina-based Human Identification Algorithm based on Geometrical Shape Features Using a Hierarchical Matching Structure
Nowadays, biometrics such as fingerprint, face, hand geometry, voice, iris and retinal are widely used in access control applications [1,2]. There are pros and cons to each one of the mentioned biometrics and their application depends on the required security level and limitations of the application. Among the biometrics, the retinal blood vessel patterns provide a more reliable and secure biometric identifier because of its location in the back of the eye globe and its robustness against deceits while it is not accessible [3]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 17, 2017 Category: Bioinformatics Authors: Pouya Nazari, Hossein Pourghassem Source Type: research

A note on the marker-based watershed method for X-ray image segmentation
A relatively new marker-based watershed method was proposed with international readership circulation. In this letter, we put forward a note on the use of max and min symbols in their study. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 17, 2017 Category: Bioinformatics Authors: Siyuan Lu, Shuihua Wang, Yudong Zhang Source Type: research

Automated Segmental-IMT Measurement in Thin/Thick Plaque with Bulb Presence in Carotid Ultrasound from Multiple Scanners: Stroke Risk Assessment
Carotid intima-media thickness (cIMT) measurement is an acknowledged surrogate marker of atherosclerosis [1] and has the ability to predict future clinical cardiovascular end points [2,3]. Several measures of carotid intima-media thickness as predictors of cardiovascular events (CVEs) were demonstrated in [4]. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - January 17, 2017 Category: Bioinformatics Authors: Nobutaka Ikeda, Nilanjan Dey, Aditya Sharma, Ajay Gupta, Soumyo Bose, Suvojit Acharjee, Shoaib Shafique, Elisa Cuadrado-Godia, Tadashi Araki, Luca Saba, John R. Laird, Andrew Nicolaides, Jasjit S. Suri Source Type: research