Quantitative Analysis of the Electroencephalogram
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
{'SignBlockName': 'william weigand', 'PO_EMAI': None, 'PO_PHON': None}
This research project involves the design of an Expert EEG system for           the automatic analysis of abnormal electroencephalograms (EEG) and of           sleep EEG.  The computer system will use the knowledge and inference            schemes used by human EEG analyzers and engineers to achieve fast,              correct interpretation of several channels of EEG.  The problems to be          solved are also applicable to the general problem of detecting                  aperiodic signals in a noisy environment.  More generally, this work            will contribute to better understanding of the methods of Artificial            Intelligence as applied to bioengineering.
{'FirstName': 'Jack', 'LastName': 'Smith', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jack R Smith', 'EmailAddress': None, 'NSF_ID': '000452110', 'StartDate': '09/15/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Florida', 'CityName': 'GAINESVILLE', 'ZipCode': '326111941', 'PhoneNumber': '3523923516', 'StreetAddress': '1523 UNION RD RM 207', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'FL03', 'ORG_UEI_NUM': 'NNFQH1JAPEP3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF FLORIDA', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '534500', 'Text': 'Engineering of Biomed Systems'}, {'Code': '912000', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
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