Assessing heart rate variability through wavelet-based statistical measures
Because of its utility in the investigation and diagnosis of clinical abnormalities, heart rate variability (HRV) has been quantified with both time and frequency analysis tools. Recently, time-frequency methods, especially wavelet transforms, have been applied to HRV. In the current study, a complementary computational approach is proposed wherein continuous wavelet transforms are applied directly to ECG signals to quantify time-varying frequency changes in the lower bands. Such variations are compared for resting and lower body negative pressure (LBNP) conditions using statistical and information-theoretic measures, and ...
Source: Computers in Biology and Medicine - July 17, 2016 Category: Bioinformatics Authors: Mark P. Wachowiak, Dean C. Hay, Michel J. Johnson Source Type: research
CeFunMO: A centrality based method for discovering functional motifs with application in biological networks
Detecting functional motifs in biological networks is one of the challenging problems in systems biology. Given a multiset of colors as query and a list-colored graph (an undirected graph with a set of colors assigned to each of its vertices), the problem is reduced to finding connected subgraphs, which best cover the multiset of query. To solve this NP-complete problem, we propose a new color-based centrality measure for list-colored graphs. Based on this newly-defined measure of centrality, a novel polynomial time algorithm is developed to discover functional motifs in list-colored graphs, using a greedy strategy. (Sourc...
Source: Computers in Biology and Medicine - July 17, 2016 Category: Bioinformatics Authors: Morteza Kouhsar, Zahra Razaghi-Moghadam, Zaynab Mousavian, Ali Masoudi-Nejad Source Type: research
Assessing heart rate variability through wavelet-based statistical measures
Because of its utility in the investigation and diagnosis of clinical abnormalities, heart rate variability (HRV) has been quantified with both time and frequency analysis tools. Recently, time-frequency methods, especially wavelet transforms, have been applied to HRV. In the current study, a complementary computational approach is proposed wherein continuous wavelet transforms are applied directly to ECG signals to quantify time-varying frequency changes in the lower bands. Such variations are compared for resting and lower body negative pressure (LBNP) conditions using statistical and information-theoretic measures, and ...
Source: Computers in Biology and Medicine - July 17, 2016 Category: Bioinformatics Authors: Mark P. Wachowiak, Dean C. Hay, Michel J. Johnson Source Type: research
CeFunMO: a centrality based method for discovering functional motifs with application in biological networks
Detecting functional motifs in biological networks is one of the challenging problems in systems biology. Given a multiset of colors as query and a list-colored graph (an undirected graph with a set of colors assigned to each of its vertices), the problem is reduced to finding connected subgraphs, which best cover the multiset of query. To solve this NP-complete problem, we propose a new color-based centrality measure for list-colored graphs. Based on this newly-defined measure of centrality, a novel polynomial time algorithm is developed to discover functional motifs in list-colored graphs, using a greedy strategy. (Sourc...
Source: Computers in Biology and Medicine - July 17, 2016 Category: Bioinformatics Authors: Morteza Kouhsar, Zahra Razaghi-Moghadam, Zaynab Mousavian, Ali Masoudi-Nejad Source Type: research
Retrieval and Classification of Food Images
Automatic food understanding from images is an interesting challenge with applications in different domains. In particular, food intake monitoring is becoming more and more important because of the key role that it plays in health and market economies. In this paper, we address the study of food image processing from the perspective of Computer Vision. As first contribution we present a survey of the studies in the context of food image processing from the early attempts to the current state-of-the-art methods. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - July 11, 2016 Category: Bioinformatics Authors: Giovanni Maria Farinella, Dario Allegra, Marco Moltisanti, Filippo Stanco, Sebastiano Battiato Source Type: research
CD3D and PRKCQ work together to discriminate between B-cell and T-cell acute lymphoblastic leukemia
This study computationally screened the high-throughput transcriptome dataset for multiple candidate biomarkers and verified their discrimination abilities in an independent sample set using quantitative real-time polymerase chain reaction (PCR) technology. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - July 10, 2016 Category: Bioinformatics Authors: Dongli Ma, Shan Zhong, Xiaorong Liu, Huirong Mai, Guoqin Mai, Cheng Xu, Fengfeng Zhou Source Type: research
Automatic counting of fungiform papillae by shape using cross-correlation
The determination of the number of fungiform papillae (FP) on the human tongue is important for taste sensitivity studies. Most of the time, the counting of the FP is done manually. In this paper we propose a novel algorithm to count the FP using shape characteristics measured by cross-correlation. The accuracy of the algorithm is evaluated by counting the FP manually on the same images and then doing a statistical analysis. A Poisson regression model is fitted using maximum likelihood. The result is that the algorithm counts are very similar to the human experts. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - July 8, 2016 Category: Bioinformatics Authors: Er éndira Valencia, Homero V. Ríos, Iñigo Verdalet, Jesús Hernández, Sergio Juárez, Rosa Herrera, Erik R. Silva Source Type: research
A multichannel time –frequency and multi-wavelet toolbox for uterine electromyography processing and visualisation
The uterine electromyogram, also called electrohysterogram (EHG), is an electrical signal generated by the uterine contractile activity. The EHG has been considered a promising biomarker for labour and preterm labour prediction, for which there is a demand for accurate estimation methods. Preterm labour is a significant public health concern and one of the major causes of neonatal mortality and morbidity [1]. Given the non-stationary properties of the EHG signal, time –frequency domain analysis can be used. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - July 8, 2016 Category: Bioinformatics Authors: Arnaldo G. Batista, Shirin Najdi, Daniela M. Godinho, Catarina Martins, F átima C. Serrano, Manuel D. Ortigueira, Raul T. Rato Source Type: research
Automatic counting of fungiform papillae by shape using cross-correlation
The determination of the number of fungiform papillae (FP) on the human tongue is important for taste sensitivity studies. Most of the time, the counting of the FP is done manually. In this paper we propose a novel algorithm to count the FP using shape characteristics measured by cross-correlation. The accuracy of the algorithm is evaluated by counting the FP manually on the same images and then doing a statistical analysis. A Poisson regression model is fitted using maximum likelihood. The result is that the algorithm counts are very similar to the human experts. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - July 8, 2016 Category: Bioinformatics Authors: Eréndira Valencia, Homero V. Ríos, Iñigo Verdalet, Jesús Hernández, Sergio Juárez, Rosa Herrera, Erik R. Silva Source Type: research
A multichannel time-frequency and multi-wavelet toolbox for uterine electromyography processing and visualisation
The uterine electromyogram, also called electrohysterogram (EHG), is an electrical signal generated by the uterine contractile activity. The EHG has been considered a promising biomarker for labour and preterm labour prediction, for which there is a demand for accurate estimation methods. Preterm labour is a significant public health concern and one of the major causes of neonatal mortality and morbidity [1]. Given the non-stationary properties of the EHG signal, time-frequency domain analysis can be used. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - July 8, 2016 Category: Bioinformatics Authors: Arnaldo G. Batista, Shirin Najdi, Daniela M. Godinho, Catarina Martins, Fátima C. Serrano, Manuel D. Ortigueira, Raul T. Rato Source Type: research
Beat-to-beat T-wave alternans detection using the Ensemble Empirical Mode Decomposition method
This study aimed to evaluate beat-to-beat TWA detection using the Ensemble EMD (EEMD) method. Method: A total of 108 recordings of standard 12-lead ECGs of 69 healthy subjects (17 females, 42 ±18 years; 52 males, 40±13 years) and 39 cardiac-condition patients (ischemic cardiomyopathy; ICM and dilated cardiomyopathy; DCM) with left ventricular ejection fractions (LVEF) were studied. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - July 7, 2016 Category: Bioinformatics Authors: Muhammad A. Hasan, Vijay S. Chauhan, Sridhar Krishnan Source Type: research
Beat-to-beat T-wave alternans detection using the Ensemble Empirical Mode Decomposition method
This study aimed to evaluate beat-to-beat TWA detection using the Ensemble EMD (EEMD) method. Method: A total of 108 recordings of standard 12-lead ECGs of 69 healthy subjects (17 females, 42±18 years; 52 males, 40±13 years) and 39 cardiac-condition patients (ischemic cardiomyopathy; ICM and dilated cardiomyopathy; DCM) with left ventricular ejection fractions (LVEF) were studied. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - July 7, 2016 Category: Bioinformatics Authors: Muhammad A. Hasan, Vijay S. Chauhan, Sridhar Krishnan Source Type: research
Discrimination of systolic and diastolic dysfunctions using multi-layer perceptron in heart rate variability analysis
In this study, the heart rate variability (HRV) analysis is used to distinguish patients with systolic congestive heart failure (CHF) from patients with diastolic CHF. In the analysis performed, the best accuracy performances of short-term HRV measures are compared. These measures are calculated in four different ways with optional normalization methods of heart rate and data. The nearest neighbor and the multi-layer perceptron (MLP) are used to evaluate the performances in discriminating these two groups. (Source: Computers in Biology and Medicine)
Source: Computers in Biology and Medicine - June 29, 2016 Category: Bioinformatics Authors: Yalcin Isler Source Type: research
