LabVIEW: a Software System for Data Acquisition, Data Analysis, and Instrument Control
Overview
Authors
Affiliations
Computer-based data acquisition systems play an important role in clinical monitoring and in the development of new monitoring tools. LabVIEW (National Instruments, Austin, TX) is a data acquisition and programming environment that allows flexible acquisition and processing of analog and digital data. The main feature that distinguishes LabVIEW from other data acquisition programs is its highly modular graphical programming language, "G," and a large library of mathematical and statistical functions. The advantage of graphical programming is that the code is flexible, reusable, and self-documenting. Subroutines can be saved in a library and reused without modification in other programs. This dramatically reduces development time and enables researchers to develop or modify their own programs. LabVIEW uses a large amount of processing power and computer memory, thus requiring a powerful computer. A large-screen monitor is desirable when developing larger applications. LabVIEW is excellently suited for testing new monitoring paradigms, analysis algorithms, or user interfaces. The typical LabVIEW user is the researcher who wants to develop a new monitoring technique, a set of new (derived) variables by integrating signals from several existing patient monitors, closed-loop control of a physiological variable, or a physiological simulator.
Park J, Lee M, Jeong S, Lee H J Synchrotron Radiat. 2023; 31(Pt 1):202-207.
PMID: 37930256 PMC: 10833428. DOI: 10.1107/S1600577523008755.
Masuda T, Kobayashi M, Yatani K J Synchrotron Radiat. 2023; 30(Pt 6):1127-1134.
PMID: 37885154 PMC: 10624023. DOI: 10.1107/S1600577523008305.
Huang X, Lv D, Xi R, Gao M, Wang Z, Gu L Sensors (Basel). 2023; 23(16).
PMID: 37631623 PMC: 10459184. DOI: 10.3390/s23167088.
Daiquiri: a web-based user interface framework for beamline control and data acquisition.
Fisher S, Oscarsson M, de Nolf W, Cotte M, Meyer J J Synchrotron Radiat. 2021; 28(Pt 6):1996-2002.
PMID: 34738955 PMC: 8570207. DOI: 10.1107/S1600577521009851.
Slaninova N, Fiedorova K, Selamat A, Danisova K, Kubicek J, Tkacz E Sensors (Basel). 2020; 20(13).
PMID: 32629993 PMC: 7374362. DOI: 10.3390/s20133666.