• DocumentCode
    54595
  • Title

    Real-World Neuroimaging Technologies

  • Author

    McDowell, Kaleb ; Chin-Teng Lin ; Oie, Kelvin S. ; Tzyy-Ping Jung ; Gordon, Stascia ; Whitaker, Keith W. ; Shih-Yu Li ; Shao-Wei Lu ; Hairston, W. David

  • Author_Institution
    Translational Neurosci. Branch, U.S. Army Res. Lab., Aberdeen Proving Ground, MD, USA
  • Volume
    1
  • fYear
    2013
  • fDate
    2013
  • Firstpage
    131
  • Lastpage
    149
  • Abstract
    Decades of heavy investment in laboratory-based brain imaging and neuroscience have led to foundational insights into how humans sense, perceive, and interact with the external world. However, it is argued that fundamental differences between laboratory-based and naturalistic human behavior may exist. Thus, it remains unclear how well the current knowledge of human brain function translates into the highly dynamic real world. While some demonstrated successes in real-world neurotechnologies are observed, particularly in the area of brain-computer interaction technologies, innovations and developments to date are limited to a small science and technology community. We posit that advancements in realworld neuroimaging tools for use by a broad-based workforce will dramatically enhance neurotechnology applications that have the potential to radically alter human-system interactions across all aspects of everyday life. We discuss the efforts of a joint government-academic-industry team to take an integrative, interdisciplinary, and multi-aspect approach to translate current technologies into devices that are truly fieldable across a range of environments. Results from initial work, described here, show promise for dramatic advances in the field that will rapidly enhance our ability to assess brain activity in real-world scenarios.
  • Keywords
    biological techniques; brain; brain-computer interfaces; neurophysiology; brain-computer interaction technology; external world; human brain function; human-system interactions; innovations; laboratory based brain imaging; neuroscience; real world neuroimaging technology; Behavioral science; Biomedical monitoring; Brain modeling; Brain-computer interfaces; Electroencephalography; Investments; Maximum likelihood decoding; Medical image processing; Neuroimaging; Neuroscience; Research and development; Wearable sensors; Behavioral science; biomarkers; body sensor networks; brain computer interaction; brain computer interfaces; data acquisition; electroencephalography; monitoring; translational research; wearable sensors;
  • fLanguage
    English
  • Journal_Title
    Access, IEEE
  • Publisher
    ieee
  • ISSN
    2169-3536
  • Type

    jour

  • DOI
    10.1109/ACCESS.2013.2260791
  • Filename
    6514970