GREGORY A WORRELL, M.D.
Neurology at 1 St, Rochester, MN

License number
Minnesota 39896
Category
Neurology
Type
Neurology
Address
Address
200 1St St SW, Rochester, MN 55905
Phone
(507) 284-2511

Organization information

See more information about GREGORY A WORRELL at bizstanding.com

Gregory Wiseman MD

200 1 St SW, Rochester, MN 55905

Industry:
Radiology, Internist, Neurologist
Doing business as:
Gregory Worrell MD,PHD
Phone:
(507) 284-2511 (Phone)
Description:
There are 153 doctors at this site. Surgery is not performed at this site.
S:
Gregory Alden Wiseman,Gregory Alan Worrell

Professional information

Gregory A Worrell Photo 1

Dr. Gregory A Worrell, Rochester MN - MD (Doctor of Medicine)

Specialties:
Clinical Neurophysiology
Address:
Mayo Clinic
200 1St St SW, Rochester 55905
(507) 284-2511 (Phone)
Certifications:
Clinical Neurophysiology, 2013, Neurology, 2011
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
Mayo Clinic
200 1St St SW, Rochester 55905
Mayo Clinic Saint Marys Hospital
1216 2Nd St South #West, Rochester 55902
North Memorial Medical Center
3300 Oakdale Ave North, Robbinsdale 55422
Education:
Medical School
University Of Texas Medical Branch At Galveston
Graduated: 1996
Mayo Grad School Med/Mayo Fndn


Gregory Alan Worrell Photo 2

Gregory Alan Worrell, Rochester MN

Specialties:
Neurology, Clinical Neurophysiology
Work:
Mayo Medical School
200 1St St Sw, Rochester, MN 55905
Education:
The University of Texas at Galveston (1996)


Gregory Worrell Photo 3

Active Control Of Epileptic Seizures And Diagnosis Based On Critical Systems-Like Behavior

US Patent:
8150522, Apr 3, 2012
Filed:
Aug 18, 2006
Appl. No.:
11/505906
Inventors:
Javier R. Echauz - Alpharetta GA, US
Gregory A. Worrell - Rochester MN, US
Brian Litt - Bala Cynwyd PA, US
Assignee:
The Trustees Of The University Of Pennsylvania - Philadelphia PA
International Classification:
A61N 1/18
US Classification:
607 45, 607 46, 607 47, 607 48
Abstract:
Developing a measure of critical systems-like behavior in an epilepsy patient in order to map epileptic networks, either passively or evoking responses through subthreshold stimulation, and to apply “therapeutic” stimulations to the patient that cause smaller, but more frequent dissipations of “energy,” a transcription product, subclinical electrophysiological activity or seizures in order to raise the clinical seizure initiation threshold, through releasing accumulated interictal energy in a seizure onset zone or elsewhere in the epileptic network, thereby preventing occurrence of larger more debilitating seizures.


Gregory Worrell Photo 4

Seizure Forecasting, Microseizure Precursor Events, And Related Therapeutic Methods And Devices

US Patent:
2010029, Nov 18, 2010
Filed:
Jul 11, 2008
Appl. No.:
12/668345
Inventors:
Gregory A. Worrell - Rochester MN, US
Squire M. Stead - Rochester MN, US
Assignee:
MAYO FOUNDATION FOR MEDICAL EDUCATION AND RESEARCH - Rochester MN
International Classification:
A61N 1/36, A61B 5/0476
US Classification:
600544, 607 45
Abstract:
A multiscale recording and stimulation system for identifying and responding to epileptiform activity. The system includes the use of microelectrode arrays (e.g., 10-100 micron electrodes with 100-500 micron spacing) to monitor iEEG activity of submillimeter regions or islands in the epileptogenic zone of brain tissue (e.g., independent microdomains in the range of 100-1000 micron diameter).


Gregory Worrell Photo 5

Method For Data Oscillator Detection Using Frictionally Damped Harmonic Oscillators

US Patent:
2012008, Apr 12, 2012
Filed:
Oct 12, 2010
Appl. No.:
12/903001
Inventors:
David Ambrose Hsu - Middleton WI, US
Murielle Aline Hsu - Middleton WI, US
Gregory A. Worrell - Rochester MN, US
International Classification:
A61B 5/05, G06F 19/00, G01R 23/16
US Classification:
600407, 702 76
Abstract:
A system and method for time-frequency analysis in which acquired signals are modeled as frictionally damped harmonic oscillators having a friction factor that is not a free parameter are provided. The friction factor is selected as a function of the frequency value of the associated oscillator, such that an increase in both temporal and spectral resolution are provided over existing time-frequency analysis methods. The friction factor is also selected to define a spectral band, within which the given oscillator can detect data oscillations. The properly selected friction factor thereby provides the analysis over a broad spectral range that can span many orders of magnitude.