Search

Daniel X Graupe

from Highland Park, IL
Age ~89

Daniel Graupe Phones & Addresses

  • 496 Hillside Dr, Highland Park, IL 60035 (847) 433-3488 (847) 433-3408
  • Chicago, IL
  • 496 Hillside Dr, Highland Park, IL 60035 (312) 203-5665

Work

Position: Service Occupations

Education

Degree: Graduate or professional degree

Resumes

Resumes

Daniel Graupe Photo 1

Professor At University Of Illinois At Chicago

View page
Location:
496 Hillside Dr, Highland Park, IL 60035
Industry:
Higher Education
Work:
University of Illinois at Chicago
Professor at University of Illinois at Chicago
Interests:
Exercise
Sweepstakes
Home Improvement
Reading
Gourmet Cooking
Sports
Home Decoration
Photograph
Cooking
Electronics
Outdoors
Crafts
Music
Dogs
Movies
Collecting
Kids
Travel
Career
Investing
Traveling
Languages:
English
Daniel Graupe Photo 2

Professor

View page
Location:
Highland Park, IL
Industry:
Higher Education
Work:
University of Illinois at Chicago
Professor

Illinois Institute of Technology Chicago Aug 1978 - Aug 1985
Bodine Chair Professor
Education:
University of Liverpool
Doctorates, Doctor of Philosophy, Electrical Engineering
Technion - Israel Institute of Technology
Bachelors, Bachelor of Science In Electrical Engineering
Skills:
Signal Processing
Computer Engineering
Stochastic Analysis

Publications

Isbn (Books And Publications)

Identification of Systems

View page
Author

Daniel Graupe

ISBN #

0882753592

Time Series Analysis, Identification and Adaptive Filtering

View page
Author

Daniel Graupe

ISBN #

0894643150

Functional Electrical Stimulation for Ambulation by Paraplegics: Twelve Years of Clinical Observations and System Studies

View page
Author

Daniel Graupe

ISBN #

0894648454

Us Patents

Blind Adaptive Filter Extraction Of Fetal Electrocardiogram Signal Estimate

View page
US Patent:
7747316, Jun 29, 2010
Filed:
Jan 27, 2006
Appl. No.:
11/795889
Inventors:
Daniel Graupe - Highland Park IL, US
Menachem H. Graupe - Mequon WI, US
Yunde Zhong - Chicago IL, US
Assignee:
The Board of Trustees of the University of Illinois - Urbana IL
International Classification:
A61B 5/0444
US Classification:
600511, 600376
Abstract:
A blind adaptive filter of an apparatus in an example employs a frequency domain ECG-feature vector and a time domain ECG feature vector with a maternal ECG parameter estimate and a set of candidate fetal ECG estimates that satisfy the frequency domain ECG-feature-vector, to extract a fetal ECG signal estimate from raw abdominal ECG signals of a pregnant female. The fetal ECG signal estimate satisfies the frequency domain ECG feature-vector and the time domain ECG feature vector.

Method And Apparatus For Closed-Loop Deep Brain Stimulation In Treating Neurological Diseases

View page
US Patent:
8280516, Oct 2, 2012
Filed:
Jun 29, 2009
Appl. No.:
12/459213
Inventors:
Daniel Graupe - Highland Park IL, US
International Classification:
A61N 1/00
US Classification:
607 48
Abstract:
A system that incorporates teachings of the present disclosure may include, for example, a device having a stimulation sequence generator device, at least one implantable electrode for insertion in a brain of a human being, where the at least one implantable electrode is coupled to the stimulation sequence generator, a sensor for placement on a body part of the human being, and a controller coupled to the stimulation sequence generator device and the sensor. The controller can be operable to receive a signal from the sensor, extract from the signal characteristics corresponding to desirable movements of the body part of the human being to generate output data, detect a condition from the output data for predicting an upcoming tremor, and cause the stimulation sequence generator device to apply a stimulation to the at least one implantable electrode for a first period responsive to the detected condition to prevent the upcoming tremor.

Apparatus For Managing A Neurological Disorder

View page
US Patent:
8391986, Mar 5, 2013
Filed:
May 12, 2009
Appl. No.:
12/992265
Inventors:
Daniel Graupe - Highland Park IL, US
Daniela Tuninetti - Chicago IL, US
Ishita Basu - Chicago IL, US
Assignee:
The Board of Trustees of the University of Illinois - Urbana IL
International Classification:
A61N 1/00
US Classification:
607 45
Abstract:
A system that incorporates teachings of the present disclosure may include, for example, a Neuro Sensing and Stimulation Device having a conductive lead for implanting in a brain of a living entity, a sensor coupled to the conductive lead for collecting data associated with one or more electrical signals detected in the conductive lead, a stimulator coupled to the conductive lead to apply one or more electrical signals thereto, and a controller. The controller can be operable to collect data associated with one or more electrical signals detected in the conductive lead, determine a stimulation sequence from the collected data, and direct the stimulator to apply on the conductive lead one or more electrical signals determined from the stimulation sequence. Additional embodiments are disclosed.

Detection And Prediction Of Physiological Events In People With Sleep Disordered Breathing Using A Lamstar Neural Network

View page
US Patent:
20110251985, Oct 13, 2011
Filed:
Dec 15, 2009
Appl. No.:
13/140580
Inventors:
Jonathan Waxman - Chicago IL, US
Daniel Graupe - Chicago IL, US
David W. Carley - Chicago IL, US
Assignee:
The Board of Trustees of the University of Illinios - Urbana IL
International Classification:
G06N 3/02
G06N 5/04
US Classification:
706 20, 706 52
Abstract:
Apparatus and methods are disclosed for generating and outputting physiological event results from physiological data related to a patient. Physiological event results include results predicting and/or detecting individual physiological events related to a medical condition of the patient.

Control Of Fns Via Pattern Variations Of Response Emg

View page
US Patent:
50166352, May 21, 1991
Filed:
Nov 29, 1988
Appl. No.:
7/277323
Inventors:
Daniel Graupe - Highland Park IL
Assignee:
Sigmedics, Inc. of Delaware - Northfield IL
International Classification:
A61B 505
US Classification:
128421
Abstract:
Paraplegic patients and cetain other paralyzed patients who suffer from an upper motor unit spinal cord injury and undergo FNS (Functional Neuromuscular Stimulation) experience muscle fatigue within a time span that is usually shorter than is normal, but have no sensation of this fatigue due to paralysis. When FNS is used functionally, as is its implied purpose, to stand and walk, the patients need the support of a walker or canes or elbow crutches, and are unable to manually adjust FNS levels or pulse widths to compensate for that fatigue, since the time for this adjustment is exactly when the patients cannot divert attention and hands to anything else. Under FNS, the stimulated muscles produce an EMG (electromyographic) signal at the stimulated site, in response to that stimulation. This response-EMG undergoes pattern changes with the progression of fatigue. The present invention employs pattern recognition of the response-EMG where pattern parameters are identified whose variation with time is a function of the progression of muscle fatigue.

Blind Adaptive Filtering Of Unknown Signals In Unknown Noise In Quasi-Closed Loop System

View page
US Patent:
57683921, Jun 16, 1998
Filed:
Apr 16, 1996
Appl. No.:
8/632998
Inventors:
Daniel Graupe - Highland Park IL
Assignee:
AURA Systems Inc. - El Segundo CA
International Classification:
H04B 1500
US Classification:
381 943
Abstract:
A method and system for blind adaptive filtering an input signal having noise and information signal parameters that are separated by an identifier. An open loop filter stage generates an intermediate filtered signal from the noise parameters and the input signal parameters. A cost function generator generates a first cost function signal and an inverse first cost function signal from the open loop filter parameters. A residual signal is generated from the difference between the input signal and the intermediate filtered signal. Another cost function generator, coupled to the input signal and the residual signal generator, generates a second cost function signal and an inverse second cost function that maximize a stationarity feature of the residual signal. A combiner generates a combined cost function from the inverse first and second cost functions. A quasi-closed loop filter generates the filtered output signal from the intermediate filtered signal.

Non-Linear Deterministic Stochastic Filtering Method And System

View page
US Patent:
57216940, Feb 24, 1998
Filed:
May 10, 1994
Appl. No.:
8/241179
Inventors:
Daniel Graupe - Highland Park IL
Assignee:
Aura System, Inc. - El Segundo CA
International Classification:
H04B 1500
US Classification:
364574
Abstract:
A method and system for filtering a noisy input comprised of an information signal and a noise signal. No prior time domain value information or frequency domain parameter information on the information signal or noise signal is available. A whitening filter renders the noise part of a noise signal into a substantially white noise signal. A fourier transform system provides an amplitude spectrum output and a phase output. A multiplier squares the amplitude spectrum output thus providing a power spectrum output. A zero mean sub-system generates a zero mean power spectrum output from the power spectrum output. A square root sub-system squares the zero mean power spectrum output thus providing a resultant output. An inverse Fourier transform sub-system inversely transforms the resultant output to provide a time domain resultant output. An inverse whitening filter provides a substantially noise free output from the time domain resultant output.

Artificial Intelligence Pattern-Recognition-Based Noise Reduction System For Speech Processing

View page
US Patent:
50975102, Mar 17, 1992
Filed:
Nov 7, 1989
Appl. No.:
7/432525
Inventors:
Daniel Graupe - Highland Park IL
Assignee:
GS Systems, Inc. - Highland Park IL
International Classification:
G10L 302
US Classification:
381 47
Abstract:
A system is provided to reduce noise from a signal of speech that is contaminated by noise. The present system employs an artificial intelligence that is capable of deciding upon the adjustment of a filter subsystem by distinguishing between noise and speech in the spectrum of the incoming signal of speech plus noise. The system does this by testing the pattern of a power or envelope function of the frequency spectrum of the incoming signal. The system determines that the fast changing portions of that envelope denote speech whereas the residual is determined to be the frequency distribution of the noise power. This determination is done while examining either the whole spectrum, or frequency bands thereof, regardless of where the maximum of the spectrum lies. In another embodiment of the invention, a feedback loop is incorporated which provides incremental adjustments to the filter by employing a gradient search procedure to attempt to increase certain speech-like features in the system's output. The present system does not require consideration of minima of functions of the incoming signal or pauses in speech.
Daniel X Graupe from Highland Park, IL, age ~89 Get Report