DocumentCode :
262351
Title :
18.5 A 2.14mW EEG neuro-feedback processor with transcranial electrical stimulation for mental-health management
Author :
Taehwan Roh ; Kiseok Song ; Hyunwoo Cho ; Dongjoo Shin ; Unsoo Ha ; Kwonjoon Lee ; Hoi-Jun Yoo
Author_Institution :
KAIST, Daejeon, South Korea
fYear :
2014
fDate :
9-13 Feb. 2014
Firstpage :
318
Lastpage :
319
Abstract :
Recently, mental diseases have been successfully treated by neuro-feedback therapy based on Quantitative EEG (QEEG) and Event Related Potential (ERP) online data measurements. The U.S. Food and Drug Administration (FDA) approved the first EEG test for diagnosing attention deficit hyperactivity disorder (ADHD) in 2013 [1]. The EEG signals are measured by an EEG cap and analyzed by a high performance computer to extract not only the EEG power at a predetermined frequency and site combinations, but also the degree of coherence between all sites. Based on these results, brain stimulation is performed to modulate brain rhythms (EEG) toward the normal values for the therapy.
Keywords :
bioelectric potentials; diseases; electroencephalography; feature extraction; feedback; information services; medical disorders; medical signal processing; neurophysiology; parallel processing; patient treatment; support vector machines; ADHD diagnosis; EEG analysis; EEG cap; EEG modulation; EEG neurofeedback processor; EEG power extraction; EEG signal measurement; EEG test; ERP online data measurements; QEEG online data measurements; attention deficit hyperactivity disorder diagnosis; brain rhythm modulation; brain stimulation; event related potential; frequency-site combination predetermination; high performance computer; mental disease treatment; mental health management; neurofeedback therapy; power 2.14 mW; quantitative EEG; site coherence predetermination; transcranial electrical stimulation; Electrodes; Electroencephalography; Feature extraction; Medical services; Neurofeedback; Noise; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2014 IEEE International
Conference_Location :
San Francisco, CA
ISSN :
0193-6530
Print_ISBN :
978-1-4799-0918-6
Type :
conf
DOI :
10.1109/ISSCC.2014.6757451
Filename :
6757451
Link To Document :
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