Jose L Cavazos

20120108999, May 3, 2012

Oct 17, 2011

13/275309

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

A61B 5/0488
A61B 5/00

600546, 600301

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.

20130012830, Jan 10, 2013

Jul 5, 2012

13/542596

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

A61B 5/0488

600546

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.

20200138318, May 7, 2020

Sep 23, 2019

16/579536

- 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

A61B 5/04
A61B 5/00
A61B 5/0488

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.

20200022603, Jan 23, 2020

Dec 2, 2017

16/465841

- 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

A61B 5/04
A61B 5/0488
A61B 5/00

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.

20180289310, Oct 11, 2018

Oct 7, 2016

15/766690

- San Antonio TX, US
Luke E. Whitmire - San Antonio TX, US
Jose E. Cavazos - San Antonio TX, US

A61B 5/00
A61B 5/0488

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.

20170296083, Oct 19, 2017

Apr 19, 2017

15/491883

- 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

A61B 5/04
A61B 5/0488
A61B 5/00
A61B 5/00

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.

20170215786, Aug 3, 2017

Feb 9, 2017

15/429009

- 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

A61B 5/00
A61B 5/11
A61B 5/0488
A61B 5/1455
A61B 5/01
A61B 5/0402

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.

20170065218, Mar 9, 2017

Aug 12, 2016

15/236108

- 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

A61B 5/00
G06F 19/00
A61B 5/0205
A61B 5/0402
A61B 5/0488
A61B 5/04

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.