University of St. Thomas
Assistant Professor of Electrical Engineering
Inspire Medical Systems
Senior Program Manager
Medtronic Jan 2018 - Jul 2019
Senior Engineering Manager
Medtronic Jul 2016 - Jan 2018
Engineering Manager
Medtronic Apr 1, 2014 - Jul 2016
Program Manager
Education:
Brown University 2018 - 2019
Masters, Leadership
University of Minnesota 2006 - 2010
Doctorates, Doctor of Philosophy, Electrical Engineering, Philosophy
University of Minnesota 1999 - 2000
Masters, Master of Science In Electrical Engineering, Electrical Engineering
Minnesota State University, Mankato 1997 - 1999
Bachelors, Bachelor of Science In Electrical Engineering, Electrical Engineering
Gustavus Adolphus College 1995 - 1997
University of Minnesota - Twin Cities
Skills:
Labview Analog Circuit Design Medical Devices Signal Processing Circuit Design Analog Ic Pcb Design Sensors Integrated Circuit Design Mixed Signal Hardware Architecture Embedded Systems R&D Simulations Semiconductors Verilog Rf Electrical Engineering Research and Development Integrated Circuits
J. Thomas Vaughan - Stillwater MN, US Pierre-Francois Van de Moortele - Minneapolis MN, US Lance DelaBarre - St. Anthony MN, US Christopher C. Olson - Minneapols MN, US Heather Orser - Farmington MN, US Anand Gopinath - Wayzata MN, US Kamil Ugurbil - Minneapolis MN, US Carl Snyder - Minneapolis MN, US Can E. Akgun - Woodbury MN, US Jinfeng Tian - Minneapolis MN, US John Strupp - Coon Rapids MN, US Peter M. Andersen - Maple Plain MN, US Xiaoping Wu - St. Paul MN, US
Assignee:
Regents of the University of Minnesota - Minneapolis MN
International Classification:
G01V 3/00
US Classification:
324318, 324322
Abstract:
A magnetic resonance system is disclosed. The system includes a transceiver having a multichannel receiver and a multichannel transmitter, where each channel of the transmitter is configured for independent selection of frequency, phase, time, space, and magnitude, and each channel of the receiver is configured for independent selection of space, time, frequency, phase and gain. The system also includes a magnetic resonance coil having a plurality of current elements, with each element coupled in one to one relation with a channel of the receiver and a channel of the transmitter. The system further includes a processor coupled to the transceiver, such that the processor is configured to execute instructions to control a current in each element and to perform a non-linear algorithm to shim the coil.
A system for detecting strokes includes a sensor device configured to obtain physiological data from a patient, for example brain activity data. A computing device communicatively coupled to the sensor device is configured to receive the physiological data and compare it with reference data. The reference data can be patient data from an opposite brain hemisphere to the hemisphere being interrogated or the reference data can be non-patient data from stroke and normal patient populations. Based on comparison of the physiological data and the reference data, the system indicates whether the patient has suffered a stroke.
- Minneapolis MN, US Gregory J. Loxtercamp - Edina MN, US Heather Diane Orser - Farmington MN, US Scott R. Stanslaski - Shoreview MN, US Jadin C. Jackson - Roseville MN, US
International Classification:
G16H 40/63 A61B 5/048 A61B 5/04 A61B 5/00
Abstract:
Techniques are described for real-time phase detection. For the phase detection, a signal is correlated with a frequency component of a frequency band whose phase is being detected, and the correlation includes predominantly decreasing weighting of past portions of the signals.
Ecap Based Control Of Electrical Stimulation Therapy
- Minneapolis MN, US Heather Diane Orser - Farmington MN, US Scott R. Stanslaski - Shoreview MN, US Erik J. Peterson - Fridley MN, US
International Classification:
A61N 1/36
Abstract:
Devices, systems, and techniques for controlling electrical stimulation therapy are described. In one example, a system may be configured to deliver electrical stimulation therapy to a patient, the electrical stimulation therapy comprising a plurality of therapy pulses at a predetermined pulse frequency over a period of time and deliver, over the period of time, a plurality of control pulses interleaved with at least some therapy pulses of the plurality of therapy pulses. The system may also be configured to sense, after one or more control pulses and prior to an immediately subsequent therapy pulse of the plurality of therapy pulses, a respective evoked compound action potential (ECAP), adjust, based on at least one respective ECAP, one or more parameter values that at least partially defines the plurality of therapy pulses, and deliver the electrical stimulation therapy to the patient according to the adjusted one or more parameter values.
A system for detecting strokes includes a sensor device configured to obtain physiological data from a patient, for example brain activity data. A computing device communicatively coupled to the sensor device is configured to receive the physiological data and compare it with reference data. The reference data can be patient data from an opposite brain hemisphere to the hemisphere being interrogated or the reference data can be non-patient data from stroke and normal patient populations. Based on comparison of the physiological data and the reference data, the system indicates whether the patient has suffered a stroke.
- Minneapolis MN, US Gregory J. Loxtercamp - Edina MN, US Heather Diane Orser - Farmington MN, US Scott R. Stanslaski - Shoreview MN, US Jadin C. Jackson - Roseville MN, US
International Classification:
G16H 40/63 A61B 5/00 A61B 5/048 A61B 5/04
Abstract:
Techniques are described for real-time phase detection. For the phase detection, a signal is correlated with a frequency component of a frequency band whose phase is being detected, and the correlation includes predominantly decreasing weighting of past portions of the signals.
- Minneapolis MN, US Heather D. Orser - Farmington MN, US Dale G. Suilmann - Elk River MN, US Kenneth J. Gutzman - Lino Lakes MN, US Gregory J. Loxtercamp - Edina MN, US
International Classification:
A61N 1/36 A61N 1/05 A61N 1/372
Abstract:
An example method for controlling delivery of electrical stimulation therapy includes maintaining, by one or more processors of a medical device configured to deliver electrical stimulation to a patient, a counter tied to a clock used by the medical device to deliver the electrical stimulation to the patient; and obtaining, by the one or more processors, one or more representations of sensed electrical signals for the patient that are referenced to counts of the counter. In this example, the method also includes identifying, based on the one or more representations of the sensed electrical signals for the patient, a count of the counter at which stimulation is to be delivered to the patient; and delivering, by the medical device and to the patient, electrical stimulation based on the identified count of the counter.
- Minneapolis MN, US Gregory J. Loxtercamp - Edina MN, US Heather Diane Orser - Farmington MN, US Scott R. Stanslaski - Shoreview MN, US Jadin C. Jackson - Roseville MN, US
International Classification:
G06F 19/00 A61B 5/00 A61B 5/04 A61B 5/048
Abstract:
Techniques are described for real-time phase detection. For the phase detection, a signal is correlated with a frequency component of a frequency band whose phase is being detected, and the correlation includes predominantly decreasing weighting of past portions of the signals.
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