David Bloem - Crystal Lake IL Gary Howard - Mesa AZ
Assignee:
Motorola, Inc. - Schaumburg IL
International Classification:
H04B 7212
US Classification:
370347, 370350, 370321, 370503
Abstract:
A method for updating a timing offset for stored events scheduled in an event generator in a radio communication system including at least one base station and a mobile device includes a first step of measuring a change in a previously stored timing offset between a reference clock in the mobile device and a channel clock transmitted by the at least one base station. A second step includes adding the timing change to the previously stored timing offset in the timing offset register. A third step includes updating the timing offset in the event generator without interrupting execution of the stored events, such that synchronization is reacquired between the mobile unit and the base station. As a result, timing offset updating occurs without stopping or resetting the event generator.
Implantable Medical Device With Adaptive Signal Processing And Artifact Cancellation
Richard J. O'Brien - Hugo MN, US D. Curtis Deno - Andover MN, US David A. Anderson - Stanchfield MN, US David R. Bloem - Maple Grove MN, US
Assignee:
Medtronic, Inc. - Minneapolis MN
International Classification:
A61B 5/1455 A61N 1/365
US Classification:
600324, 607 17, 607 18
Abstract:
A medical device includes one or more sensors used to acquire a multi-dimensional signal. In one embodiment, principal component analysis is performed on the multi-dimensional signal to produce signal data. The principal component analysis results are used to cancel signal artifact in one embodiment. A medical device controller produces one of a therapy control and a diagnostic output in response to the signal data.
Implantable Medical Device With Adaptive Signal Processing And Artifact Cancellation
A medical device includes multiple sensors used to acquire sensor signals grouped into multiple sets to obtain multiple multi-dimensional signals. Principal component analysis of the multi-dimensional signals is performed to compute principal components of variation of the multi-dimensional signals. Features extracted from the principal components are used in detecting physiological events.
Implantable Medical Device With Adaptive Signal Processing And Artifact Cancellation
Richard J. O'Brien - Hugo MN, US D. Curtis Deno - Andover MN, US David A. Anderson - Stanchfield MN, US David R. Bloem - Maple Grove MN, US
International Classification:
A61B 5/0402 G08B 23/00
US Classification:
600509, 3405731
Abstract:
A medical device having a sensor sensing an n-dimensional signal during a first known variable condition and during a second known variable condition different from the first known variable condition, a processor performing principal component analysis (PCA) on the sensed n-dimensional signal to generate a first template corresponding to a principal component of variation associated with the first known variable condition and a second template corresponding to a principal component of variation associated with the second known variable condition, a storage device storing the first template and the second template, and a controller detecting a patient condition in response to the stored templates.
Implantable Medical Device With Adaptive Signal Processing And Artifact Cancellation
Richard J. O'Brien - Hugo MN, US D. Curtis Deno - Andover MN, US David A. Anderson - Stanchfield MN, US David R. Bloem - Maple Grove MN, US
International Classification:
A61B 5/0402 G08B 23/00
US Classification:
600512, 3405731
Abstract:
A medical device includes one or more sensors used to acquire a multi-dimensional signal. In one embodiment, principal component analysis is performed on the multi-dimensional signal to produce signal data. The principal component analysis results are used to cancel signal artifact in one embodiment. A medical device controller produces one of a therapy control and a diagnostic output in response to the signal data.
Measurement Of Cardiac Cycle Length And Pressure Metrics From Pulmonary Arterial Pressure
Saul E. Greenhut - Aurora CO, US Robert T. Taepke - Coon Rapids MN, US David R. Bloem - Maple Grove MN, US Yong K. Cho - Maple Grove MN, US Donna M. Salmi - Minneapolis MN, US
International Classification:
A61N 1/36 A61M 5/168 A61B 5/021
US Classification:
600485, 607 62, 604 66
Abstract:
Various techniques for measuring cardiac cycle length and pressure metrics based on pulmonary artery pressures are described. One example method described includes identifying a point within a derivative signal of a cardiovascular pressure signal without reference to electrical activity of a heart, initiating a time window from the identified point in the derivative signal, identifying a point within the cardiovascular signal within the time window, and determining at least one of a systolic pressure or diastolic pressure based on the identified point.
Measurement Of Cardiac Cycle Length And Pressure Metrics From Pulmonary Arterial Pressure
Saul E. Greenhut - Aurora CO, US Robert T. Taepke - Cool Rapids MN, US David R. Bloem - Maple Grove MN, US Yong K. Cho - Maple Grove MN, US Donna M. Salmi - Minneapolis MN, US
International Classification:
A61N 1/36 A61M 5/168 A61B 5/021
US Classification:
600485, 607 62, 604 66
Abstract:
Various techniques for measuring cardiac cycle length and pressure metrics based on pulmonary artery pressures are described. One example method described includes identifying a point within a derivative signal of a cardiovascular pressure signal without reference to electrical activity of a heart, initiating a time window from the identified point in the derivative signal, identifying a point within the cardiovascular signal within the time window, and determining at least one of a systolic pressure or diastolic pressure based on the identified point.
Robert C. Arzbaecher - Chicago IL Thomas E. Bump - Chicago IL Charles E. Yurkonis - Mt. Prospect IL David R. Bloem - Evergreen Park IL
Assignee:
Illinois Institute of Technology - Chicago IL
International Classification:
A61N 139
US Classification:
607 3
Abstract:
A method and an implantable apparatus for automatically delivering a defibrillating drug to a patient upon detection of the onset of atrial fibrillation. Atrial activity of a heart is detected and monitored. A delivery time is continuously computed and a delivery signal is emitted as a function of the monitored level of the atrial activity. When the delivery signal is emitted, an infusion pump discharges a defibrillating drug into the bloodstream of the patient. The atrial activity is also continuously monitored for computing a pacing time at which a pacing signal is emitted as a second function of the monitored level of atrial activity. When the pacing signal is emitted a pacer paces the atrium of the heart.
Lacks Trim Systems Oct 2012 - Mar 2016
Manufacturing
Feyen Zylstra Oct 2012 - Mar 2016
Electrician
Belle Tire Mar 2012 - Oct 2012
Tire Technician
Walt Disney World Sep 2010 - Feb 2012
Security
Education:
Grand Rapids Community College 2017 - 2020
Associates, Associate of Arts
East Kentwood High School 2003 - 2006
Skills:
Highly Detail Oriented Patience Communication Skills
Starkey Hearing Technologies Jul 1, 2013 - Sep 1, 2014
Principal Platform Engineer
Medtronic May 2003 - 2013
Principal Ic Design Engineer, Principal Systems Engineer
Nxp Semiconductors 1999 - 2002
Asic Applications Engineer
Motorola 1995 - 1999
Senior Baseband Ic Designer
Education:
University of Minnesota
Masters, Biomedical Engineering
Illinois Institute of Technology
Master of Science, Masters, Electrical Engineering
Illinois Institute of Technology
Bachelors, Bachelor of Science, Electrical Engineering
Illinois Institute of Technology
Doctorates, Doctor of Philosophy, Electrical Engineering
Skills:
Development Class Iii Medical Devices Rf Signal Linux Systems Engineering Ltspice Analog Circuit Design C Digital Ic Design Matlab Bioelectronics Biomedical Engineering Mathcad Processors Analog Sensors Asic Electronics Verilog Integrated Circuit Design Medical Devices Biomedical Device Design Bluetooth Signal Processing Mixed Signal Embedded Systems Class Ii Medical Devices Codecs Labview Fpga C++ Biomedical Electronics Dsp Mixed Signal Design Python Pacing Firmware Design Product Development Analog Ic Design Digital Signal Processors Wireless Pattern Recognition Iso 13485 Ic