.     Home Academics   Graduate Program     M.S.     Ph.D.     Faculty       Ali, Nawab       Baltosser, William H       Bayrak, Coskun       Beger, Richard       Benes, Helen       Berleant, Dan       Bowyer, John F       Bruhn, Russel       Bush, John       Chan, Yupo       Chiang, Chia-Chu       Compadre, Cesar       Dagtas, Serhan       Mock, Donald       Nagarajan, Radhakris       Patterson, Tucker       Pidugu, Srikanth B       Pierce, Elizabeth M       Preissl, Hubert T       Ramaswamy, Srinivasa       Reis, Robert J S       Seker, Remzi       Simpson, Pippa       Slikker, William       Soulsby, Sr., Michae       Suva, Larry       Tang, Peiyi       Thompson, Gary A       Tong, Weida       Tudoreanu, M Eduard       Vanbiervliet, Alan G       Wigand, Rolf T       Xu, Xiaowei       Zhang, Jianjun       Zhou, Yi-Hong       Darsey, Jerry A       Elsalloukh, Hassan       Epstein, Joshua       Eswaran, Hari       Fuscoe, James C       Gealt, Michael A       Govindan, Rathinaswa       Gray, Wayne L       He, Qingfang       Iqbal, Kamran       Jennings, Steven F       Jo, Chan-Hee       Kane, Cynthia (Cindy       Kaufmann, Eric R       Kieber-Emmons, Thoma       Light, Kim       Liu, Xian       Lowery, Curtis L       Luba, James       Ma, Xiaodong       Milanova, Mariofanna       Ounpraseuth, Songthi     FAQ     Graduate Forms   Undergraduate minor   Courses   Certificates   Admission Research Events Resources Contacts Jobs Calendar   . Dr. Curtis L Lowery Professor of Obstetrics and Gynecology Affiliation UAMS Medicine Office UAMS, Shorey Bldg., 5th Fl., Rm 21 Email lowerycurtisl AT uams.edu Website http:// Phone 501-686-5847 Alternate phone 501-526-7425 (501-686-5847) Fax 501-526-7820 Mail 4301 West Markham #518 Little Rock, Arkansas 72205     Core Areas Bioinformatics Life sciences Research Areas Areas of interest include non-invasive monitoring of the well-being of the fetus involving SQUID (Superconducting Quantum Interference Device) technology with a device called SARA, specifically fetal magnetoencephalography (MEG), magnetomyography (MMG) of the uterus, and fetal magnetocardiography(MCG). Signal processing and computation analysis of biomedical signals including - Baseline fetal brain activity. Auditory and visual evoked responses, Fetal cardiac activity, Fetal movement type and quantification in correlation with other systems and Fetal breathing in utero. Non-linear analysis –chaos and fractal analysis of time-series biological signals. Modeling of uterine smooth muscle activity at multiple scales from cellular level to organ level.   .   . Site map | Privacy policy | Webmaster | AR BRIN Copyright © 2004-2009 Donaghey College of Information Science and Systems Engineering Created and maintained by MidSouth Bioinformatics Center   This page was created on September 23, 2009.