Thesis
Analytical software and stimulus-presentation platform to utilize, visualize and analyze near-infrared spectroscopy measures
Master of Science (M.S.), Drexel University
2005
DOI:
https://doi.org/10.17918/00008780
Abstract
Near-infrared spectroscopy for functional brain imaging is an emerging sensing modality that is relatively affordable, safe, portable and non-invasive. Functional near-infrared spectroscopy (fNIR) can be used to continuously monitor brain activity in everyday living and working conditions and necessary devices are easy to engineer compared to frequency domain and time resolved spectroscopy systems. In the last decade, fNIR devices have evolved to slim, battery operated and even wireless devices. As the technology matures, researchers and clinical users are overwhelmed with evolving information and their operational procedures. Hence, the need for a comprehensive yet easy to use software platform for data acquisition and control of fNIR devices has arisen. The focus of this thesis is the design and development of Cognitive Optical Brain Imaging (COBI) Studio, a modular software platform to support fNIR research. COBI is a multi-level, extensible framework equipped with a full set of functions for data acquisition, visualization and run-time signal processing. COBI is complemented by an 'Analysis Suite', ACOBI. ACOBI is a post processing application for mapping fNIR data on brain surface. Another complementary suite, namely the MAZE Suite is a complete toolbox that enables researchers to perform psychological experiments that involve interactive 3D environments. The MAZE Suite can be used to design or edit 3D simulated environments which allow subjects to perform tasks while their behavioral performance is tracked. The MAZE Suite consists of three main applications: visualization/rendering (MazeWalker), analysis/mapping (MazeViewer) and finally, an editing program to create and alter maps (MazeMaker). This software platform which incorporates the COBI Studio, the ACOBI and MAZE Suite, is aimed to enable and enhance the effectiveness, interpretation and real-time deployment of the fNIR brain monitoring systems.
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Details
- Title
- Analytical software and stimulus-presentation platform to utilize, visualize and analyze near-infrared spectroscopy measures
- Creators
- Hasan Ayaz
- Contributors
- Banu Onaral (Advisor) - Drexel University, Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- xiii, 103 pages
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems (1997-2026); Drexel University
- Other Identifier
- 991021888877404721