Jose Cavazos - Houston TX, US Robert Simie - Seabrook TX, US
International Classification:
H03K003/02
US Classification:
327/199000
Abstract:
A synchronizer eliminates metastability due to violation of either the setup time or the hold time of a circuit. The input of a first flip-flop () is tied to a constant logic level (VDD or ground). The first flip-flop receives an asynchronous signal into the reset (preset or clear) input of the flip-flop. No violation of the setup or hold times of the flip-flop can occur. The second flip-flop () receives the output of the first flip-flop as its clock input. The second flip-flop () is configured as a toggler. The second flip-flop produces a synchronized partial signal () of the original asynchronous signal (). Third and fourth flip-flops () may similarly be configured to produce a second synchronized partial signal () of the asynchronous signal recovery and may prevent runt pulses from being received by the flip-flops.
James R. Leininger - San Antonio TX, US Russell M. Herring - San Antonio TX, US Michael R. Girouard - San Antonio TX, US Jose E. Cavazos - San Antonio TX, US
International Classification:
A61B 5/0488 A61B 5/00
US Classification:
600546, 600301
Abstract:
A method of detecting seizures may comprise receiving an EMG signal and processing the received EMG signal to determine whether a seizure characteristic is present in the EMG signal during a time window. An apparatus for detecting seizures with motor manifestations may comprise one or more EMG electrodes capable of providing an EMG signal substantially representing seizure-related muscle activity; and a processor configured to receive the EMG signal, process the EMG signal to determine whether a seizure may be occurring, and generate an alert if a seizure is determined to be occurring based on the EMG signal.
James R. Leininger - San Antonio TX, US Russell M. Herring - San Antonio TX, US Michael R. Girouard - San Antonio TX, US Jose E. Cavazos - San Antonio TX, US Edward R. Jones - College station TX, US William E. Broad - Littleton CO, US
International Classification:
A61B 5/0488
US Classification:
600546
Abstract:
A method and apparatus for detecting seizures with motor manifestations including detecting EMG signals, isolating from the EMG signals spectral data for a plurality of frequency bands, and calculating a T-squared value there from. The T-squared values may be detected in real time, such as in a patient's home environment, and the T-squared data may be compared to a threshold T-squared value to determine whether an alarm is sent.
- San Antonio TX, US Jose E. Cavazos - San Antonio TX, US Isa Conradsen - Kobenhavn S, DK Michael R. Girouard - Shavano Park TX, US Jonathan J. Halford - Mount Pleasant SC, US Luke E. Whitmire - San Antonio TX, US
International Classification:
A61B 5/04 A61B 5/00 A61B 5/0488
Abstract:
Methods and apparatuses for detecting and characterizing seizures are described. In some embodiments, the methods and apparatuses include collecting an electrical signal from one or more electrodes disposed on the head or scalp of a patient and processing the electrical signal to determine the dynamics of a seizure event.
Semiology Of Seizures Including Muscle Signals Collected From Electroencephalography Electrodes
- San Antonio TX, US Jose E. Cavazos - San Antonio TX, US Michael R. Girouard - Shavano Park TX, US Jonathan J. Halford - Mount Pleasant SC, US Luke E. Whitmire - San Antonio TX, US
International Classification:
A61B 5/04 A61B 5/0488 A61B 5/00
Abstract:
Methods and apparatuses for detecting and characterizing seizures are described. In some embodiments, the methods and apparatuses include collecting an EEG signal and selecting or filtering the signal in order to increase a prevalence of a part of said EEG signal derived from activation of muscle. In some embodiments, one or more EEG signals may be analyzed with one or more algorithms designed to detect muscle components of the signal in order to perform seizure semiology and/or to differentiate detected seizures based on type.
Method And Apparatus For Detecting And Classifying Seizure Activity
- San Antonio TX, US Luke E. Whitmire - San Antonio TX, US Jose E. Cavazos - San Antonio TX, US
International Classification:
A61B 5/00 A61B 5/0488
Abstract:
A method of monitoring a patient for seizure activity may include monitoring the patient by collecting an electromyography signal, determining features of the signal using wavelet analysis and inputting determined feature values into a neural network trained to detect seizure activity. Related apparatuses are also described.
Systems And Methods For Characterization Of Seizures
- San Antonio TX, US Jose E. Cavazos - San Antonio TX, US Michael R. Girouard - San Antonio TX, US Jonathan J. Halford - Mount Pleasant SC, US Luke E. Whitmire - San Antonio TX, US
International Classification:
A61B 5/04 A61B 5/0488 A61B 5/00 A61B 5/00
Abstract:
Systems and methods are described for detecting and characterizing seizures or seizure-related events. The methods herein may include determining magnitude and/or scaled magnitude data for each of at least one high and low frequency group of signals. Based on the determined magnitudes and/or scaled magnitude data, seizures or seizure-related events may be characterized.
Detection Of Emg Activity Using Sensors On Both Sides Of The Body
- San Antonio TX, US Jason T. Getman - San Antonio TX, US Michael R. Girouard - Shavano Park TX, US Russell M. Herring - San Antonio TX, US Jose E. Cavazos - San Antonio TX, US
A monitoring system may include each of a left and a right side EMG detection device and may be configured to detect either seizure activity associated with the left side or right side of a patient's body. The system may further be configured to differentiate symmetric or asymmetric seizure activity. For example, the system may characterize whether left and right side EMG detectors show similar or dissimilar levels of activation during a suspected seizure. In some embodiments, the system may also include one or more orientation and/or position sensors. The system may be configured to determine the orientation and position of the sensor over time and to correlate this data with EMG signals.
Community College of the Air Force 1988 - 2005
Associates, Management
Cameron University 1985 - 1993
Bachelors
Western Oklahoma State College 1988 - 1992
Associates, Psychology
Skills:
Logistics Aerospace Air Force Operations Management Supply Chain Management Process Improvement Government Contracting Military Security Clearance Logistics Management
Dr. Cavazos graduated from the Univ Nacl Auto De Mexico, Fac De Med, Mexico Df, Mexico in 1963. He works in San Antonio, TX and specializes in General Practice. Dr. Cavazos is affiliated with Baptist Medical Center.
Dr. Cavazos graduated from the Inst Tec Y De Est Sup De Monterrey, Esc De Med I.a.santos, Monterrey in 1987. He works in San Antonio, TX and specializes in Neurology and Epileptologist. Dr. Cavazos is affiliated with Audie L Murphy Memorial VA Hospital.
Jose Cavazos, San Antonio TX
Work:
The University of Texas at San Antonio
4647 Medical Dr, San Antonio, TX 78229 South Texas Veterans Health Care - Audie L. Murphy Div.
7400 Merton Minter St, San Antonio, TX 78229 The University of Texas at San Antonio
7703 Floyd Curl Dr, San Antonio, TX 78229
1303 Mccullough Ave, San Antonio, TX 78212 4647 Medical Dr, San Antonio, TX 78229 7703 Floyd Curl Dr, San Antonio, TX 78229
Board certifications:
American Board of Psychiatry and Neurology Certification in Neurology (Psychiatry and Neurology) American Board of Psychiatry and Neurology Sub-certificate in Clinical Neurophysiology (Psychiatry and Neurology)