Virtual Instrument Setup
Virtual Instrument Setup - Related Videos
08:09
Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality
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Cited by 13 •
2015
Transcranial magnetic stimulation, electromyography, and 3D motion capture are commonly used non-invasive techniques for investigating neuromuscular function in humans. In this paper, we describe a protocol that synchronously samples data generated by all three of these tools along with the unique addition of virtual reality stimulus presentation and feedback.
04:06
Setup for the Quantitative Assessment of Motion and Muscle Activity During a Virtual Modified Box and Block Test
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2024
The protocol described here aims to enhance the quantitative evaluation of upper limb deficits, with the goal of developing additional technology for remote assessment both in the clinic and at home. Virtual reality and biosensor technologies are combined with standard clinical techniques to provide insights into the functioning of the neuromuscular system.
06:28
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
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Cited by 13 •
2018
This paper describes a method for conducting multi-user experiments on decision-making and navigation using a networked computer laboratory.
08:36
The Immersive Cleveland Clinic Virtual Reality Shopping Platform for the Assessment of Instrumental Activities of Daily Living
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Cited by 7 •
2022
Virtual reality (VR) is a powerful yet underutilized approach to advance the diagnosis and treatment of neurological disease. The Cleveland Clinic Virtual Reality Shopping platform combines state-of-the-art VR content with an omnidirectional treadmill to quantify instrumental activities of daily living-a proposed prodromal marker of neurological disease.
01:25
Research Instruments
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2024
Effective research relies on specialized instruments that help collect and analyze data precisely. These tools, which include surveys, interviews, observation checklists, focus groups, and mechanical devices, are each designed to capture specific types of information crucial for informed decision-making. Surveys, for instance, are commonly used to gather broad insights from large populations, such as determining public opinion on educational policies. Interviews, on the other hand, play a...
FAQs
Signal conditioning adapts incoming sensor or signal-source data before the data acquisition hardware samples it. The acquisition hardware then provides the connection between the physical input and the computer-based measurement system. This division of roles helps the setup receive usable signals, while software can apply later processing, display results, and record measurements for engineering analysis.
Device drivers and software-defined interfaces allow the computer to communicate with acquisition hardware and expose measurement or control functions to application software. They form the link between physical devices and configurable software behavior. This separation lets engineers modify analysis or control functions without redesigning the entire measurement path, supporting flexible experiments and changing test requirements.
Software reconfiguration changes the functions performed by the measurement system without requiring a different physical instrument for each task. In contrast, dedicated instruments keep more of their functionality tied to fixed equipment. This flexibility allows one setup to support different measurement, analysis, or control requirements, making it useful for rapid prototyping and scalable engineering systems.
To build a Virtual Instrument Setup, connect the relevant sensors or signal sources to data acquisition hardware, then include the required signal conditioning. Configure device drivers and the software-defined interface so the computer can communicate with the hardware. Finally, establish software functions for sampling, processing, display, and recording, and adjust the configuration to the intended measurement or control task.
Engineers use this approach when tests or monitoring tasks may change, or when a project requires automated testing, real-time monitoring, system characterization, or control. Its software-based configuration supports rapid prototyping in laboratories and scalable measurement systems in industrial environments. The same general architecture can therefore accommodate exploratory experiments as well as more structured engineering workflows.
The resulting system can provide processed measurements, visual displays, recorded data, and software-directed control functions. These outputs help engineers examine system behavior, characterize performance, monitor operation in real time, and automate tests. In engineering research, the value lies not only in collecting signals but also in combining acquisition, analysis, and recording within a reconfigurable workflow.