標題: Real-World Neuroimaging Technologies
作者: McDowell, Kaleb
Lin, Chin-Teng
Oie, Kelvin S.
Jung, Tzyy-Ping
Gordon, Stephen
Whitaker, Keith W.
Li, Shih-Yu
Lu, Shao-Wei
Hairston, W. David
電子工程學系及電子研究所
腦科學研究中心
Department of Electronics Engineering and Institute of Electronics
Brain Research Center
關鍵字: Behavioral science;biomarkers;body sensor networks;brain computer interfaces;brain computer interaction;data acquisition;electroencephalography;monitoring;translational research;wearable sensors
公開日期: 1-Jan-2013
摘要: 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 real world 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.
URI: http://dx.doi.org/10.1109/ACCESS.2013.2260791
http://hdl.handle.net/11536/133590
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2013.2260791
期刊: IEEE ACCESS
Volume: 1
起始頁: 131
結束頁: 149
Appears in Collections:Articles


Files in This Item:

  1. 336e10e7e857ef79ca0572be40221ae8.pdf