DR. JAMES CHRIS SACKELLARES, M.D.
Neurology at 91 Ter, Gainesville, FL

License number
Florida ME0072689
Category
Neurology
Type
Neurology
License number
Florida ME0072689
Category
Neurology
Type
Clinical Neurophysiology
Address
Address
5318 SW 91St Ter SUITE B, Gainesville, FL 32608
Phone
(352) 375-5553
(352) 505-5506 (Fax)

Personal information

See more information about JAMES CHRIS SACKELLARES at radaris.com
Name
Address
Phone
James C Sackellares, age 76
5404 91St St, Gainesville, FL 32608
(352) 335-0046
James C Sackellares, age 76
5404 91St Ter, Gainesville, FL 32608
(352) 335-0046
James C Sackellares, age 76
9841 55Th St, Gainesville, FL 32608
(352) 335-0046
James C Sackellares, age 76
9841 55Th Rd, Gainesville, FL 32608
(352) 335-0046

Professional information

See more information about JAMES CHRIS SACKELLARES at trustoria.com
James C Sackellares Photo 1
Dr. James C Sackellares, Gainesville FL - MD (Doctor of Medicine)

Dr. James C Sackellares, Gainesville FL - MD (Doctor of Medicine)

Specialties:
Neuropsychiatry (Neurology)
Address:
VA Medical Center Extended Care
1601 SW Archer Rd, Gainesville 32608
(352) 376-1611 (Phone)
Marian County Health Department
1801 SE 32Nd Ave, Ocala 34471
(352) 629-0137 (Phone)
Certifications:
Neurology, 1980
Awards:
Healthgrades Honor Roll
Languages:
English, Spanish
Hospitals:
VA Medical Center Extended Care
1601 SW Archer Rd, Gainesville 32608
Marian County Health Department
1801 SE 32Nd Ave, Ocala 34471
Munroe Regional Medical Center
1500 West 1St Ave, Ocala 34471
Education:
Medical School
Medical College Of Georgia School Of Medicine
Graduated: 1973
Louisville Affil Hosps
Graduated: 1974
Med College Georgia
Graduated: 1977
University Virginia
Graduated: 1979


James Sackellares Photo 2
James Sackellares, Gainesville FL

James Sackellares, Gainesville FL

Specialties:
Neurology, Clinical Neurophysiology
Work:
Malcolm Randall DVA Medical Center
1601 SW Archer Rd, Gainesville, FL 32608
Education:
Medical College of Georgia (1973) Neurology


James Sackellares Photo 3
Multi-Dimensional Multi-Parameter Time Series Processing For Seizure Warning And Prediction

Multi-Dimensional Multi-Parameter Time Series Processing For Seizure Warning And Prediction

US Patent:
7263467, Aug 28, 2007
Filed:
Sep 30, 2003
Appl. No.:
10/673329
Inventors:
James Chris Sackellares - Gainesville FL, US
Linda Dance - Gainesville FL, US
Panos M. Pardalos - Gainesville FL, US
Wanpracha A. Chaovalitwongse - Hillsborough NJ, US
Assignee:
University of Florida Research Foundation Inc. - Gainesville FL
Arizona Board of Regents - Tempe AZ
International Classification:
G06F 15/00
US Classification:
702183, 702190
Abstract:
Characterizing the behavior of a chaotic, multi-dimensional system is achieved by measuring each of a number of signals associated with the system, and generating therefrom, a spatio-temporal response based on each signal. Multiple dynamical profiles are then generated for each spatio-temporal response, where each of the multiple dynamical profiles correspond to a different one of multiple dynamical parameters. Over a period of time, a determination is made as to whether a certain level of dynamic entrainment and/or disentrainment exists between the dynamical profiles associated with a selected one or a selected combination of dynamical parameters. Seizure warnings and/or predictions are provided based on this determination.


James Sackellares Photo 4
Optimization Of Spatio-Temporal Pattern Processing For Seizure Warning And Prediction

Optimization Of Spatio-Temporal Pattern Processing For Seizure Warning And Prediction

US Patent:
7461045, Dec 2, 2008
Filed:
Aug 18, 2004
Appl. No.:
10/920446
Inventors:
Wanpracha A. Chaovalitwongse - Hillsborough NJ, US
Panos M. Pardalos - Gainesville FL, US
James C. Sackellares - Gainesville FL, US
Assignee:
University of Florida Research Foundation, Inc. - Gainesville FL
Arizona Board of Regents - Scottsdale AZ
International Classification:
G06F 9/44, G06N 7/02, G06N 7/06
US Classification:
706 52
Abstract:
An exemplary method for analyzing behavior of a system includes receiving dynamical measurement data regarding the system, applying a quadratically constrained quadratic 0-1 problem to identify data among the received data, and storing the identified data. An exemplary seizure warning method includes continuously calculating STLvalues, identifying critical sites by applying a quadratically constrained quadratic 0-1 solution to data (e. g. STLprofiles) derived from pre-seizure onset and post-seizure onset EEG signals, monitoring a T-index curve of the identified critical sites, warning of an impending seizure, observing a seizure and then repeating the cycle by identifying critical sites using the new data, and then monitoring them.


James Sackellares Photo 5
Optimization Of Multi-Dimensional Time Series Processing For Seizure Warning And Prediction

Optimization Of Multi-Dimensional Time Series Processing For Seizure Warning And Prediction

US Patent:
7373199, May 13, 2008
Filed:
Aug 27, 2003
Appl. No.:
10/648354
Inventors:
James Chris Sackellares - Gainesville FL, US
Linda Dance - Gainesville FL, US
Assignee:
University of Florida Research Foundation, Inc. - Gainesville FL
Arizona Board of Regents - Tempe AR
International Classification:
A61B 5/04
US Classification:
600544
Abstract:
Characterizing the behavior of a chaotic, multi-dimensional system is achieved by measuring each of a number of signals associated with the system, and generating therefrom, a spatio-temporal response based on each signal. Chaoticity profiles are then generated for each spatio-temporal response. Over a period of time, a determination is made as to whether a certain level of dynamic entrainment and/or disentrainment exists between the chaoticity profiles associated with one or more critical channel groups of a selected predictor, where a predictor represents a given number of critical channel groups “x”, a given number of channels per group “y”, and a total number of channels N. Characterizing the behavior of the system is based on this determination.


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Atomic Magnetometer Sensor Array Magnetoencephalogram Systems And Methods

Atomic Magnetometer Sensor Array Magnetoencephalogram Systems And Methods

US Patent:
2010021, Sep 2, 2010
Filed:
Apr 14, 2008
Appl. No.:
12/532637
Inventors:
Frank M. Skidmore - Gainesville FL, US
James C. Sackellares - Gainesville FL, US
Mark Davidson - Florahome FL, US
Bernard F. Whiting - Gainesville FL, US
Panos M. Pardalos - Gainesville FL, US
Assignee:
UNIVERSITY OF FLOARIDA RESEARCH FOUNDATION, INC. - Gainesville FL
International Classification:
G01R 33/02
US Classification:
324247
Abstract:
Devices disclosed according to various embodiments use one or more arrays of atomic magnetometers to detect biologically derived magnetic fields. The disclosed devices and methods relate to application of utilization of a magnetic sensor with unique properties requiring changes in design, allowing new functions, and requiring alternative analysis methodologies. Various embodiments are also directed to methods for obtaining and processing biological magnetic signals. These methods may take advantage of the unique spatial arrangement of the atomic magnetometers and the capacity sensors to he used in either a scalar or a vector mode. Various embodiments have advantages over current magnetometer arrays for the purpose of detecting biological magnetic fields. Such advantages may include, for example: smaller size, lower power consumption, no necessity for cryogenic cooling, potential wafer-level fabrication, and/or the potential of better localization biological signals. In addition, various embodiments may allow increased target or subject mobility.


James Sackellares Photo 7
System And Method For Real-Time Diagnosis, Treatment, And Therapeutic Drug Monitoring

System And Method For Real-Time Diagnosis, Treatment, And Therapeutic Drug Monitoring

US Patent:
2007025, Nov 8, 2007
Filed:
Feb 28, 2005
Appl. No.:
10/588749
Inventors:
Richard Melker - Gainesville FL, US
James Sackellares - Gainesville FL, US
Mark Gold - Gainesville FL, US
Donn Dennis - Gainesville FL, US
International Classification:
A61K 9/51
US Classification:
424009100
Abstract:
Systems and methods for diagnosing and/or treating diseases as well as monitoring disease treatment. For diagnosis, the present invention uses nanoparticle-based assemblies, which comprise a nanoparticle; a surrogate marker; and a means for detecting a specific chemical entity. In certain embodiments, nanoparticle-based assemblies include a payload for simultaneous diagnosis and treatment of disease. In further embodiments, a therapeutic drug and therapeutic drug marker are administered to a patient to monitor disease treatment. Bodily fluid samples are analyzed using sensor technology to detect the presence of surrogate and/or therapeutic drug markers to provide an efficient and accurate means for diagnosing a disease and/or monitoring disease treatment.


James Sackellares Photo 8
Multi-Dimensional Dynamical Analysis

Multi-Dimensional Dynamical Analysis

US Patent:
2006028, Dec 21, 2006
Filed:
Jan 26, 2006
Appl. No.:
11/339606
Inventors:
James Sackellares - Gainesville FL, US
Linda Dance - Gainesville FL, US
Panos Pardalos - Gainesville FL, US
Wanpracha Chaovalitwongse - Hillsborough NJ, US
International Classification:
A61B 5/04
US Classification:
600544000
Abstract:
Techniques for investigating dynamical behavior of complex systems for monitoring, diagnosing, and predicting future behavior and trends are presented. A method includes generating a multi-dimensional representation for each signal acquired from corresponding channels of a multi-dimensional system, and generating dynamical profiles for each channel in accordance with one of multiple dynamical metrics. The method includes calculating multiple first statistical measures for a group of the channels that reflect a level of interaction among the channel group associated with at least one of the metrics. The method includes calculating in an initialization period a second statistical measure for each of the first statistical measures that reflect the association of the first statistical measures with related occurrences under investigation. The method includes selecting in the initialization period at least one of the metrics based on the second statistical measures, and identifying the first statistical measures corresponding to the selected metrics to characterize dynamical behavior.


James Sackellares Photo 9
Seizure Warning And Prediction

Seizure Warning And Prediction

US Patent:
6304775, Oct 16, 2001
Filed:
Sep 22, 1999
Appl. No.:
9/400982
Inventors:
James Chris Sackellares - Gainesville FL
International Classification:
A61B 504
US Classification:
600544
Abstract:
Impending seizure warning (ISW), seizure susceptibility period detection (SSPD), hours or days before an impending seizure, and time to impending seizure prediction (TISP) are provided by measuring each of a number of signals from different locations about a patient's brain, and generating therefrom, a spatio-temporal response based on these signals. Chaoticity profiles are then generated for each spatio-temporal response. Over a period of time, a determination is made as to whether a certain level of dynamic entrainment exists between the chaoticity profiles associated with the responses from a set of critical locations. If so, a seizure warning, an indication of seizure susceptibility and a prediction of a time of occurrence of an impending seizure may be issued.


James Sackellares Photo 10
System And Method For Therapeutic Drug Monitoring

System And Method For Therapeutic Drug Monitoring

US Patent:
2005005, Mar 10, 2005
Filed:
Feb 26, 2004
Appl. No.:
10/788501
Inventors:
Richard Melker - Gainesville FL, US
James Sackellares - Gainesville FL, US
Mark Gold - Gainesville FL, US
International Classification:
A61B005/08, A61M037/00
US Classification:
600532000, 604019000
Abstract:
The present invention includes systems and methods for monitoring therapeutic drug concentration in blood by detecting markers, such as odors, upon exhalation by a patient after the drug is taken, wherein such markers result either directly from the drug itself or from an additive combined with the drug. In the case of olfactory markers, the invention preferably utilizes electronic sensor technology, such as the commercial devices referred to as “artificial” or “electronic” noses or tongues, to non-invasively monitor drug levels in blood. The invention further includes a reporting system capable of tracking drug concentrations in blood (remote or proximate locations) and providing the necessary alerts with regarding to ineffective or toxic drug dosages in a patient.