Identification and Control of Pharmacokinetic/Physiological Systems by Closed-Loop IPFM Drug Injection
{'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}
The pharmacological treatment of disease becomes more effective when the        concentration of the administered drug in the body is held constant.            This action provides for the renewed support of a research project in           which the discrete algorithms for the closed-loop control of in vivo            drug concentration or some physiological parameter has been developed.          These algorithms are based on Integral Pulse Frequency Modulation               (IPFM), in which control is in the form of small, bolus injections of           the drug.                                                                                                                                                       Accurate and rapid identification means to estimate the parameters of           various controlled plants (the plant dynamics relate drug concentration         or regulated physiological parameter to drug input rate) while the              closed-loop system is operating will be developed.  Continuous estimates        of the pharmacokinetic plant's parameters will be used to tune the              controller, detect side-effects of the drug, and form a data base for           particular drug's behavior in the body.                                                                                                                         An improved, finer grained nonlinear model of glucose metabolism will be        developed in order to adapt the nonlinear IPFM controller previously            designed to run effectively with a peripheral compartment glucose               sensor.  Futhermore, models will be developed for the dynamics of deep          pain in humans, including neurophysiological and psychological factors,         and the pharmacokinetics of opioid drugs for analgesia.  A non-linear,          adaptive, demand-analgesia controller will be designed for safe and             efficient self-administration of analgesic drugs.                                                                                                               The Principal Investigator has been well trained both in engineering and        physiology to lead this interdisciplinary research.  The Institutional          support is adequate, I recommend support.
{'FirstName': 'Robert', 'LastName': 'Northrop', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert B Northrop', 'EmailAddress': None, 'NSF_ID': '000114400', 'StartDate': '09/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Connecticut', 'CityName': 'STORRS', 'ZipCode': '062699018', 'PhoneNumber': '8604863622', 'StreetAddress': '438 WHITNEY RD EXTENSION UNIT 11', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CT02', 'ORG_UEI_NUM': 'WNTPS995QBM7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CONNECTICUT', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '534200', 'Text': 'Disability & Rehab Engineering'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8705574.xml'}