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Luis Miguel Mazaira-Fernandez, Agustín Álvarez-Marquina, Pedro Gómez-Vilda
Person identification, especially in critical environments, has always been a subject of great interest. However, it has gained a new dimension in a world threatened by a new kind of terrorism that uses social networks (e.g., YouTube) to broadcast its message. In this new scenario, classical identification methods (such as fingerprints or face recognition) have been forcedly replaced by alternative biometric characteristics such as voice, as sometimes this is the only feature available. The present study benefits from the advances achieved during last years in understanding and modeling voice production...
2015: Frontiers in Bioengineering and Biotechnology
Aline Fofonka, Jorge Pinto Ribeiro, Karina Rabello Casali, Beatriz D Schaan
BACKGROUND: Cardiovascular disease, endothelial dysfunction, and oxidative stress are common complications among patients with type 2 diabetes (T2DM). In addition to the average blood glucose concentration, glycemic variability may be an important factor for the development of chronic diabetes complications. Patients with T2DM are treated with various types of oral glucose-lowering drugs. Exercise is considered to benefit the health of both healthy and unhealthy individuals, which has been confirmed by a number of scientific research studies in which the participants' health improved...
2014: Trials
Sarah J Iribarren, Fernando Rubinstein, Vilda Discacciati, Patricia F Pearce
Purpose. In Argentina, tuberculosis (TB) control measures have not achieved key treatment targets. The purpose of this study was to identify modes of treatment delivery and explore patient and healthcare personnel perceptions of barriers and facilitators to treatment success. Methods. We used semistructured group and individual interviews for this descriptive qualitative study. Eight high burden municipalities were purposively selected. Patients in treatment for active TB (n = 16), multidisciplinary TB team members (n = 26), and TB program directors (n = 12) at local, municipal, regional, and national levels were interviewed...
2014: Tuberculosis Research and Treatment
Dominique Simon, Bruno Detournay, Evelyne Eschwege, Stephane Bouée, Jacques Bringer, Claude Attali, Sylvie Dejager
INTRODUCTION: There is an increasing interest for real-life data on drug use in many countries. Reimbursement authorities more and more request observational studies to assess the conditions of use of the products but also to improve knowledge about efficacy and safety in the real world and on a longer term than in clinical trials. AIM: To evaluate the effectiveness, treatment persistence and tolerability of vildagliptin in clinical practice. METHODS: This observational, 2-year prospective cohort study was conducted in France on request of the Health Authorities [Haute Autorite de Sante (HAS)]...
June 2014: Diabetes Therapy: Research, Treatment and Education of Diabetes and related Disorders
Daniel A Tatosian, Ying Guo, Andrea K Schaeffer, Natalia Gaibu, Serghei Popa, Aubrey Stoch, Ronald B Langdon, Eunkyung A Kauh
INTRODUCTION: Saxagliptin, sitagliptin, and vildagliptin are dipeptidyl peptidase-4 (DPP-4) inhibitors widely approved for use in patients with type 2 diabetes. Using a crossover design, the present study compared trough levels of DPP-4 inhibition provided by these agents in a single cohort of patients with type 2 diabetes. METHODS: This was a randomized, placebo-controlled, open-label, five-period crossover study. Eligible patients were 18-65 years of age, either treatment-naïve or off prior antihyperglycemic agent therapy for at least 6 or 12 weeks (depending on the prior therapy), and had glycated hemoglobin (HbA1C) ≥6...
December 2013: Diabetes Therapy: Research, Treatment and Education of Diabetes and related Disorders
M A Banerji, D Purkayastha, B H Francis
OBJECTIVE: This retrospective analysis assessed safety and tolerability of vildagliptin (Vilda) as an add-on to metformin in type 2 diabetes mellitus (T2DM) patients with normal renal function (GFR >80mL/min/1.73m(2)) and mild renal impairment (GFR: >50 to ≤80mL/min/1.73m(2)). METHODS: Adverse events (AE) from this 12-week, randomized, open-label study comparing Vilda 100mg and thiazolidinediones (TZD) as an add-on therapy in patients with T2DM inadequately controlled (HbA(1c): 7-10%) on a stable dose of metformin (≥1000mg/day) were analyzed...
November 2010: Diabetes Research and Clinical Practice
Juan Ignacio Godino-Llorente, Pedro Gómez-Vilda, Fernando Cruz-Roldán, Manuel Blanco-Velasco, Rubén Fraile
A new index is introduced in this article to measure the degree of normality in the speech. The proposed parameter has demonstrated to be correlated with the perceived hoarseness, giving an indication of the degree of normality. The calculation of such a parameter is based on a statistical model developed to represent normal and pathological voices. The modeling is built around Gaussian mixture models and Mel frequency cepstral coefficients. The proposed index has been named pathological likelihood index (PLI)...
November 2010: Journal of Voice: Official Journal of the Voice Foundation
Juan Ignacio Godino-Llorente, Víctor Osma-Ruiz, Nicolás Sáenz-Lechón, Pedro Gómez-Vilda, Manuel Blanco-Velasco, Fernando Cruz-Roldán
This paper evaluates the capabilities of the Glottal to Noise Excitation Ratio for the screening of voice disorders. A lot of effort has been made using this parameter to evaluate voice quality, but there do not exist any studies that evaluate the discrimination capabilities of this acoustic parameter to classify between normal and pathological voices, and neither are there any previous studies that reflect the normative values that could be used for screening purposes. A set of 226 speakers (53 normal and 173 pathological) taken from a voice disorders database were used to evaluate the usefulness of this parameter for discriminating normal and pathological voices...
January 2010: Journal of Voice: Official Journal of the Voice Foundation
R Schachtner, D Lutter, P Knollmüller, A M Tomé, F J Theis, G Schmitz, M Stetter, P Gómez Vilda, E W Lang
MOTIVATION: Modern machine learning methods based on matrix decomposition techniques, like independent component analysis (ICA) or non-negative matrix factorization (NMF), provide new and efficient analysis tools which are currently explored to analyze gene expression profiles. These exploratory feature extraction techniques yield expression modes (ICA) or metagenes (NMF). These extracted features are considered indicative of underlying regulatory processes. They can as well be applied to the classification of gene expression datasets by grouping samples into different categories for diagnostic purposes or group genes into functional categories for further investigation of related metabolic pathways and regulatory networks...
August 1, 2008: Bioinformatics
R Schachtner, D Lutter, K Stadlthanner, E W Lang, G Schmitz, A M Tomé, P Gómez Vilda
Support vector machines are applied to extract marker genes from various microarray data sets: Breast Cancer, Leukemia and Monocyte - Macrophage Differentiation to ease classification of related pathologies or characterize related gene regulation pathways.
2007: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
R Schachtner, D Lutter, F J Theis Theis, E W Lang, G Schmitz, A M Tomé, P Gómez Vilda
In this study we focus on classification tasks and apply matrix factorization techniques like principal component analysis (PCA), independent component analysis (ICA) and non-negative matrix factorization (NMF) to a microarray data set. The latter monitors the gene expression levels (GEL) of mononcytes and macrophages during and after differentiation. We show that these tools are able to identify relevant signatures in the deduced matrices and extract marker genes from these gene expression profiles (GEPs) without the need for extensive data bank search for appropriate functional annotations...
2007: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Adolfo Rubinstein, María Belizán, Vilda Discacciati
OBJECTIVES: After 4 years of deepening recession, Argentina's economy plummeted after default in 2002. This crisis critically affected health expenditures and triggered acute rationing. Our objective was to explore health decision-makers' knowledge and attitudes about economic evaluations (EE) and whether health technology assessment (HTA) were increasingly used for decision making. METHODS: A qualitative design based on semistructured interviews and focus groups was used to explore how decision makers belonging to different health sectors implement resource allocation decisions...
2007: International Journal of Technology Assessment in Health Care
Ernst Wit, Vilda Purutcuoglu, Lucy O'Donovan, Ximin Zhu
Two problems that dog current microarrays analyses are (i) the relatively arbitrary nature of data preprocessing and (ii) the inability to incorporate spot quality information in inference except by all-or-nothing spot filtering. In this chapter we propose an approach based on using weights to overcome these two problems. The first approach uses weighted p-values to make inference robust to normalization and the second approach uses weighted spot intensity values to improve inference without any filtering.
2007: Advances in Experimental Medicine and Biology
Juan Ignacio Godino-Llorente, Pedro Gómez-Vilda, Manuel Blanco-Velasco
Voice diseases have been increasing dramatically in recent times due mainly to unhealthy social habits and voice abuse. These diseases must be diagnosed and treated at an early stage, especially in the case of larynx cancer. It is widely recognized that vocal and voice diseases do not necessarily cause changes in voice quality as perceived by a listener. Acoustic analysis could be a useful tool to diagnose this type of disease. Preliminary research has shown that the detection of voice alterations can be carried out by means of Gaussian mixture models and short-term mel cepstral parameters complemented by frame energy together with first and second derivatives...
October 2006: IEEE Transactions on Bio-medical Engineering
Vilda Purutçuoglu, Ernst Wit
We consider a new frequentist gene expression index for Affymetrix oligonucleotide DNA arrays, using a similar probe intensity model as suggested by Hein and others (2005), called the Bayesian gene expression index (BGX). According to this model, the perfect match and mismatch values are assumed to be correlated as a result of sharing a common gene expression signal. Rather than a Bayesian approach, we develop a maximum likelihood algorithm for estimating the underlying common signal. In this way, estimation is explicit and much faster than the BGX implementation...
April 2007: Biostatistics
P Gómez-Vilda, R Fernández-Baillo, A Nieto, F Díaz, F J Fernández-Camacho, V Rodellar, A Alvarez, R Martínez
Voice disorders are a source of increasing concern as normal voice quality is a social demand for at least one third of the population in developed countries in cases where voice is an essential resource in professional exercise. In addition, the growing exposure to certain pathogenic factors such as smoking, alcohol abuse, air pollution, and acoustic contamination, and other problems such as gastro-esopharyngeal reflux or allergy as well as aging, aggravate voice disorders. Voice pathologies justify the assignment of larger resources to prevention policies, early detection, and less aggressive treatments...
July 2007: Journal of Voice: Official Journal of the Voice Foundation
Juan I Godino-Llorente, Nicolás Sáenz-Lechón, Víctor Osma-Ruiz, Santiago Aguilera-Navarro, Pedro Gómez-Vilda
A PC-based integrated aid tool has been developed for the analysis and screening of pathological voices. With it the user can simultaneously record speech, electroglottographic (EGG), and videoendoscopic signals, and synchronously edit them to select the most significant segments. These multimedia data are stored on a relational database, together with a patient's personal information, anamnesis, diagnosis, visits, explorations and any other comment the specialist may wish to include. The speech and EGG waveforms are analysed by means of temporal representations and the quantitative measurements of parameters such as spectrograms, frequency and amplitude perturbation measurements, harmonic energy, noise, etc...
April 2006: Medical Engineering & Physics
Rūta Vaiciūniene, Vytautas Kuzminskis, Lina Dvaranauskaite, Kristina Juocaite, Vilda Cesnovaite
The objective of our study was to evaluate the influence of anemia on hospitalization and mortality in hemodialysis patients of Kaunas region. We analyzed ambulatory case records of 148 patients dialyzed in all 7 hemodialysis centers of Kaunas region in November 2001. The study consisted of two parts: in the first part data on patient age, gender, primary cause of end-stage renal disease, hemoglobin concentration were collected in November 2001 and in the second part these patients were followed up for 12 months in order to evaluate rate and length of hospitalization, reasons for hospitalization and mortality...
2005: Medicina
Rūta Vaiciūniene, Vytautas Kuzminskis, Vilma Labutiene, Lina Dvaranauskaite, Kristina Juocaite, Vilda Cesnovaite
We analysed ambulatory case records of all patients dialysed in 7 hemodialysis centers of Kaunas region during the year 2002 (n=186). Separate analysis of 42 diabetic patients was performed and compared with non-diabetics. Mortality was higher in diabetic patients in comparison with non-diabetics (22.5% and 7.3%, respectively; p<0.01). The mean number of associated diseases was 3.0+/-1.2 per diabetic patient. Disability status was worse in diabetic patients (p<0.01). Hospitalization rate of diabetic patients was 1...
2005: Medicina
J I Godino-Llorente, P Gómez-Vilda
It is well known that vocal and voice diseases do not necessarily cause perceptible changes in the acoustic voice signal. Acoustic analysis is a useful tool to diagnose voice diseases being a complementary technique to other methods based on direct observation of the vocal folds by laryngoscopy. Through the present paper two neural-network based classification approaches applied to the automatic detection of voice disorders will be studied. Structures studied are multilayer perceptron and learning vector quantization fed using short-term vectors calculated accordingly to the well-known Mel Frequency Coefficient cepstral parameterization...
February 2004: IEEE Transactions on Bio-medical Engineering
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