Microcomputer Based Data Acquisition System for Dynamic Testing

1987 ◽  
Vol 3 (2) ◽  
pp. 299-313 ◽  
Author(s):  
A. N. Lin ◽  
B. A. Verser

The availability of capable and relatively inexpensive microcomputers and versatile expansion devices has revolutionized education, research, and practice in engineering. A data acquisition and analysis system for use in full scale and large model dynamic testing based on a popular series of microcomputer has been developed. “Quick-look” and preliminary frequency analysis of data are completed in the microcomputer environment, while more detailed frequency domain analysis of single and dual channel data are completed in the mainframe environment. The system has been used for ambient and forced vibration testing of several prototype structures and large models.

2011 ◽  
Vol 2 (4) ◽  
pp. 37-49 ◽  
Author(s):  
Virginie Felizardo ◽  
Pedro Dinis Gaspar ◽  
Nuno M. Garcia ◽  
Victor Reis

This paper describes the experimental method focused on the acquisition of various physiological parameters during different effort levels of physical exercise like walking and running at several velocities. The study involved 57 young and adult people, 43 male and 14 female (24,37±5,96 years), from which 48 were soldiers belonging to the Infantry Regiment n.° 13 (RI13) of the Portuguese Army and 9 were teachers or college students of Sport Sciences, physically active but not competitive. The experimental measures provide a set of information that offers insight about the health status and physical performance of the subjects during exercise. This experimental method procedure is suited for the acquisition of physiological parameters with both the wireless physiological data acquisition systems such as the bioPlux and the respiratory analyzer gas systems such as Cosmed K4b2.The data was collected to allow the definition of a model that will be used to estimate the energy expenditure of a subject using a wireless physiological data acquisition system, which is much more comfortable and suitable to monitor physical exercise in everyday use than the standard method that makes use of a respiratory gas analysis system.


2011 ◽  
Vol 71-78 ◽  
pp. 4065-4068
Author(s):  
Gui Ji Tang ◽  
Zi Rui Wang ◽  
Jing Jing Sun

This paper designed a signal acquisition and analysis system based on the characteristics of the graphical programming language of LabVIEW. The system adopted NI USB -9234 data collection card, applied with the virtual instrument and related technology for the signal collecting and processing system. The system also has dual-channel data acquisition, real time data acquisition, signal analysis in time domain and frequency domain, FFT implementation Waterfall conversion, signal simulation capabilities. On the basis of analysis the systems functional requirements, a detailed description of the functional programming and design of the front panel is approached. At last the feasibility of system is experimental inspected and detailed. Experiments have shown that the virtual instrument is a good solution to the efficient implementation of various missions.


Author(s):  
Virginie Felizardo ◽  
Pedro Dinis Gaspar ◽  
Nuno M. Garcia ◽  
Victor Reis

This paper describes the experimental method focused on the acquisition of various physiological parameters during different effort levels of physical exercise like walking and running at several velocities. The study involved 57 young and adult people, 43 male and 14 female (24,37±5,96 years), from which 48 were soldiers belonging to the Infantry Regiment n.° 13 (RI13) of the Portuguese Army and 9 were teachers or college students of Sport Sciences, physically active but not competitive. The experimental measures provide a set of information that offers insight about the health status and physical performance of the subjects during exercise. This experimental method procedure is suited for the acquisition of physiological parameters with both the wireless physiological data acquisition systems such as the bioPlux and the respiratory analyzer gas systems such as Cosmed K4b2.The data was collected to allow the definition of a model that will be used to estimate the energy expenditure of a subject using a wireless physiological data acquisition system, which is much more comfortable and suitable to monitor physical exercise in everyday use than the standard method that makes use of a respiratory gas analysis system.


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