Analysis of the respiratory dynamics during normal breathing by means of pseudo phase plots and pressure-volume loops

This paper reports on the analysis of tidal breathing patterns measured during noninvasive forced oscillation lung function tests in six individual groups. The three adult groups were healthy, with prediagnosed chronic obstructive pulmonary disease, and with prediagnosed kyphoscoliosis, respectively. The three children groups were healthy, with prediagnosed asthma, and with prediagnosed cystic fibrosis, respectively. The analysis is applied to the pressure–volume curves and the pseudophaseplane loop by means of the box-counting method, which gives a measure of the area within each loop. The objective was to verify if there exists a link between the area of the loops, power-law patterns, and alterations in the respiratory structure with disease. We obtained statistically significant variations between the data sets corresponding to the six groups of patients, showing also the existence of power-law patterns. Our findings support the idea that the respiratory system changes with disease in terms of airway geometry and tissue parameters, leading, in turn, to variations in the fractal dimension of the respiratory tree and its dynamics.

Analysis of the Respiratory Dynamics During Normal Breathing by Means of Pseudophase Plots and Pressure–Volume Loops

This paper reports on the analysis of tidal breathing patterns measured during noninvasive forced oscillation lung function tests in six individual groups. The three adult groups were healthy, with prediagnosed chronic obstructive pulmonary disease, and with prediagnosed kyphoscoliosis, respectively. The three children groups were healthy, with prediagnosed asthma, and with prediagnosed cystic fibrosis, respectively. The analysis is applied to the pressure-volume curves and the pseudophase-plane loop by means of the box-counting method, which gives a measure of the area within each loop. The objective was to verify if there exists a link between the area of the loops, power-law patterns, and alterations in the respiratory structure with disease. We obtained statistically significant variations between the data sets corresponding to the six groups of patients, showing also the existence of power-law patterns. Our findings support the idea that the respiratory system changes with disease in terms of airway geometry and tissue parameters, leading, in turn, to variations in the fractal dimension of the respiratory tree and its dynamics.

Efeitos imediatos da MWM na dor, amplitude de movimento e funcionalidade, na osteoartrite da anca.

Introdução: A mobilização com movimento (MWM), segundo o Conceito Mulligan tem apresentado bons resultados na melhoria da dor, amplitude de movimento e funcionalidade em diversas disfunções. No entanto, existem poucos estudos sobre a articulação da anca e, até este momento, não foi avaliada a sua efetividade em indivíduos com osteoartrite da anca. Objectivo(s): Avaliar os efeitos imediatos da técnica de MWM na dor, na amplitude de movimento e na função física em indivíduos com osteoartrite da anca. Métodos: Foram incluídos 40 participantes com osteoartrite da anca, divididas de forma aleatória em dois grupos (experimental e placebo). Foram avaliadas as amplitudes de movimento de flexão e rotação medial da anca recorrendo ao goniómetro universal, a intensidade da dor através da Escala Numérica da Dor e a funcionalidade através de testes de função física, antes e imediatamente após a intervenção. Para o tratamento estatístico, foi utilizado um nível de significância de 0,05. Resultados: A aplicação de MWM resultou em diferenças significativas, com redução da dor na Escala Numérica da Dor (p=0,005), um aumento de amplitude de movimento de flexão (p=0,001) e de rotação medial (p=0,011), uma diminuição nos tempos dos testes de função física, o teste Timed “Up and Go” (p=0,037) e o teste “40m Self Placed Walk” (p=0,019), e um aumento nas repetições do teste ―30 seg Sit to Stand” (p=0,009), comparativamente ao grupo placebo. Conclusão: Os resultados sugerem que a técnica MWM parece produzir um efeito imediato significativo na diminuição da dor, aumento de amplitude articular e melhoria da função física em indivíduos com osteoartrite da anca. Este efeito foi maior para dor, para as amplitudes de movimento e para o teste de função física - ―30 seg Sit to Stand” quando se analisou a magnitude do efeito.

Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?

This paper presents the application of multidimensional scaling (MDS) analysis to data emerging from noninvasive lung function tests, namely the input respiratory impedance. The aim is to obtain a geometrical mapping of the diseases in a 3D space representation, allowing analysis of (dis)similarities between subjects within the same pathology groups, as well as between the various groups. The adult patient groups investigated were healthy, diagnosed chronic obstructive pulmonary disease (COPD) and diagnosed kyphoscoliosis, respectively. The children patient groups were healthy, asthma and cystic fibrosis. The results suggest that MDS can be successfully employed for mapping purposes of restrictive (kyphoscoliosis) and obstructive (COPD) pathologies. Hence, MDS tools can be further examined to define clear limits between pools of patients for clinical classification, and used as a training aid for medical traineeship.

Adaptive Penalty and Barrier function based on Fuzzy Logic

Optimization methods have been used in many areas of knowledge, such as Engineering, Statistics, Chemistry, among others, to solve optimization problems. In many cases it is not possible to use derivative methods, due to the characteristics of the problem to be solved and/or its constraints, for example if the involved functions are non-smooth and/or their derivatives are not know. To solve this type of problems a Java based API has been implemented, which includes only derivative-free optimization methods, and that can be used to solve both constrained and unconstrained problems. For solving constrained problems, the classic Penalty and Barrier functions were included in the API. In this paper a new approach to Penalty and Barrier functions, based on Fuzzy Logic, is proposed. Two penalty functions, that impose a progressive penalization to solutions that violate the constraints, are discussed. The implemented functions impose a low penalization when the violation of the constraints is low and a heavy penalty when the violation is high. Numerical results, obtained using twenty-eight test problems, comparing the proposed Fuzzy Logic based functions to six of the classic Penalty and Barrier functions are presented. Considering the achieved results, it can be concluded that the proposed penalty functions besides being very robust also have a very good performance.