101 research outputs found
Real-time analysis of mechanical and electrical resonances with open-source sound card software
We present an easily reproducible, open-source, sound card based experimental set- up to support transfer function measurement. Our system is able to visualize signals of mechanical and electrical resonances and their spectra in real time. We give a brief description of the system, and show some examples of electrical and mechanical resonance experiments that are supported by the system. The theoretical background, experimental set-up, component selection and digital signal processing are all discussed, and more detailed information (building instructions, software download) is provided on a dedicated web page (http://www.noise.inf.u-szeged.hu/edudev/RealTimeAnalysisOfResonances/) The experimental set-up can support undergraduate and graduate education of students of physics, physics education and engineering by means of experimental demonstrations and laboratory exercises. The very low cost, high efficiency and transparent system provides a scalable experimental environment that can be easily built in several instances
Real-time analysis of mechanical and electrical resonances with open source sound card software
We present an easily reproducible, open-source, sound card based experimental
set-up to support transfer function measurement. Our system is able to
visualize signals of mechanical and electrical resonances and their spectra in
real time. We give a brief description of the system, and show some examples of
electrical and mechanical resonance experiments that are supported by the
system. The theoretical background, experimental set-up, component selection
and digital signal processing are all discussed, and more detailed information
(building instructions, software download) is provided on a dedicated web page
(http://www.noise.inf.u-szeged.hu/edudev/RealTimeAnalysisOfResonances/) The
experimental set-up can support undergraduate and graduate education of
students of physics, physics education and engineering by means of experimental
demonstrations and laboratory exercises. The very low cost, high efficiency and
transparent system provides a scalable experimental environment that can be
easily built in several instances
Intra-breath changes in respiratory mechanics assessed from multi-frequency oscillometry measurements
Objective. Recent studies in respiratory system impedance (Zrs) with single-frequency oscillometry have demonstrated the utility of novel intra-breath measures of Zrs in the detection of pathological alterations in respiratory mechanics. In the present work, we addressed the feasibility of extracting intra-breath information from Zrs data sets obtained with conventional oscillometry. Approach. Multi-frequency recordings obtained in a pulmonology practice were re-analysed to track the 11 Hz component of Zrs during normal breathing and compare the intra-breath measures to that obtained with a single 10 Hz signal in the same subjects. A nonlinear model was employed to simulate changes in Zrs in the breathing cycle. The values of resistance (R) and reactance (X) at end expiration and end inspiration and their corresponding differences (Delta R and Delta X) were compared. Main results. All intra-breath measures exhibited similar mean values at 10 and 11 Hz in each subject; however, the variabilities were higher at 11 Hz, especially for Delta R and Delta X. The poorer quality of the 11 Hz data was primarily caused by the overlapping of modulation side lobes of adjacent oscillation frequencies. This cross-talk was enhanced by double breathing frequency components due to flow nonlinearities. Significance. Retrospective intra-breath assessment of large or special data bases of conventional oscillometry can be performed to better characterise respiratory mechanics in different populations and disease groups. The results also have implications in the optimum design of multiple-frequency oscillometry (avoidance of densely spaced frequencies) and the use of filtering procedures that preserve the intra-breath modulation information
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