![](/images/graphics-bg.png)
Smartphone Household Wireless Electroencephalogram Hat
Joint Authors
Yamakawa, Takeshi
Hsu, Charles
Tran, Binh Q.
Szu, Harold
Moon, Gyu
Landa, Joseph
Jung, Tzyy Ping
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-30
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Rudimentary brain machine interface has existed for the gaming industry.
Here, we propose a wireless, real-time, and smartphone-based electroencephalogram (EEG) system for homecare applications.
The system uses high-density dry electrodes and compressive sensing strategies to overcome conflicting requirements between spatial electrode density, temporal resolution, and spatiotemporal throughput rate.
Spatial sparseness is addressed by close proximity between active electrodes and desired source locations and using an adaptive selection of N active among 10N passive electrodes to form m-organized random linear combinations of readouts, m≪N≪10N.
Temporal sparseness is addressed via parallel frame differences in hardware.
During the design phase, we took tethered laboratory EEG dataset and applied fuzzy logic to compute (a) spatiotemporal average of larger magnitude EEG data centers in 0.3 second intervals and (b) inside brainwave sources by Independent Component Analysis blind deconvolution without knowing the impulse response function.
Our main contributions are the fidelity of quality wireless EEG data compared to original tethered data and the speed of compressive image recovery.
We have compared our recovery of ill-posed inverse data against results using Block Sparse Code.
Future work includes development of strategies to filter unwanted artifact from high-density EEGs (i.e., facial muscle-related events and wireless environmental electromagnetic interferences).
American Psychological Association (APA)
Szu, Harold& Hsu, Charles& Moon, Gyu& Yamakawa, Takeshi& Tran, Binh Q.& Jung, Tzyy Ping…[et al.]. 2013. Smartphone Household Wireless Electroencephalogram Hat. Applied Computational Intelligence and Soft Computing،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-456636
Modern Language Association (MLA)
Szu, Harold…[et al.]. Smartphone Household Wireless Electroencephalogram Hat. Applied Computational Intelligence and Soft Computing No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-456636
American Medical Association (AMA)
Szu, Harold& Hsu, Charles& Moon, Gyu& Yamakawa, Takeshi& Tran, Binh Q.& Jung, Tzyy Ping…[et al.]. Smartphone Household Wireless Electroencephalogram Hat. Applied Computational Intelligence and Soft Computing. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-456636
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456636