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In order to simplify the evaluation of expiratory flow limitation (EFL) in patients with respiratory disorders, we investigated a new method in which EFL was detected during spontaneous ventilation. The method is based on the evaluation of the mean derivative of the expiratory airflow signal (αm). The methodology was evaluated in 15 normal volunteers and 15 patients. This analysis revealed a linear...
The objective of this study was to evaluate the clinical potential of the Forced Oscillation Technique (FOT) in the detection of the early alterations in respiratory mechanics of Rheumatoid Arthritis (RA) patients. A total of 36 individuals were analyzed, 18 healthy and 18 with RA. The clinical usefulness of the parameters was evaluated investigating sensibility (Se), specificity (Sp) and the area...
Tremor in Parkinson's disease (PD) is a fundamental feature used in the determination of disease onset and progression. Traditionally, tremor has been evaluated using frequency domain analysis. However, in many cases, this analysis did not show significant differences comparing healthy elders and individuals with PD. Given its complex nature, recently the interest in nonlinear dynamical analysis for...
Home telemonitoring is of great interest in respiratory medicine where large numbers of people have long term conditions. We developed a telemedicine instrument for home monitoring of patients with disturbed respiratory muscles. The instrument measures the maximum inspiratory pressure (Pimax), the inspiratory time constant (τi) and connects to the Internet through TCP/IP protocol. The instrument was...
Silicosis is a typical occupational respiratory disease characterized by irreversible alterations throughout the alveolar and interstitial structure. The objectives of this study were (1) investigate the potential of the Forced Oscillation Technique (FOT) in the analysis of the patients with silicosis, and (2) evaluate the ability of FOT to identify early alterations in the respiratory mechanics of...
The purpose of this study is to develop an automatic classifier based on Artificial Neural Networks (ANNs) to help the diagnostic of Chronic Obstructive Pulmonary Disease (COPD) using forced oscillation measurements (FOT). The classifier inputs are the parameters provided by the FOT and the output is the indication if the parameters indicate COPD or not. The available dataset consists of 7 possible...
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