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John V Guttag

from Waltham, MA
Age ~75

John Guttag Phones & Addresses

  • 4511 Stearns Hill Rd, Waltham, MA 02451 (781) 790-1459 (781) 790-1559
  • Los Angeles, CA
  • 575 Park, New York, NY 10001 (212) 355-5127
  • 4508 Oak Tree Ct, Delray Beach, FL 33445 (561) 498-0402
  • 273 Emerson Rd, Lexington, MA 02420 (781) 863-0797 (781) 862-0171 (781) 863-6318
  • Palm Beach, FL
  • Cambridge, MA
  • 273 Emerson Rd, Lexington, MA 02420

Work

Position: Professional/Technical

Education

Degree: Associate degree or higher

Business Records

Name / Title
Company / Classification
Phones & Addresses
John Guttag
President
PREDICTIVE MODELING, INC
Nonclassifiable Establishments
273 Emerson Rd, Lexington, MA 02420
John Guttag
Director, Director
EMPIRIX INC
Custom Computer Programing Testing Laboratory · Computer Sales · Computer & Software Stores · Computer Processing and Data P · Computer Software
600 Technology Park Dr STE 100, Billerica, MA 01821
600 Technology Park Drivesuite 100, Billerica, MA 01821
20 Crosby Dr, Bedford, MA 01730
(781) 266-3200, (781) 266-3201, (781) 266-3573, (781) 993-8600
John Guttag
Director
Avid Technology
Computer Software · Mfg Digital Editing Systems & Prepackaged Software · Mfg Digital Editing Systems and Prepackaged Software · Mfg Digital Editing Systems Prepackaged Software · Mfg Photographic Equipment/Supplies · Computers-System Designers & C · Software Publishers
75 Network Dr, Burlington, MA 01803
209 W Washington St, Charleston, WV 25302
1 Park W, Tewksbury, MA 01876
6400 Enterprise Ln, Madison, WI 53719
(978) 640-6789, (608) 274-8686, (800) 949-2843, (978) 640-1366

Publications

Wikipedia References

John Guttag Photo 1

John Guttag

Us Patents

Method And Apparatus For Predicting Patient Outcomes From A Physiological Segmentable Patient Signal

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US Patent:
8346349, Jan 1, 2013
Filed:
Jan 15, 2009
Appl. No.:
12/321239
Inventors:
John V. Guttag - Lexington MA, US
Zeeshan H. Syed - Wayzata MN, US
Philip Pohong Sung - Saratoga CA, US
Collin M. Stultz - Newton MA, US
Assignee:
Massachusetts Institute of Technology - Cambridge MA
International Classification:
A61B 5/04
US Classification:
600509
Abstract:
A method and apparatus for predicting patient outcome from a physiological segmentable signal of a patient. In one embodiment, the method comprises the steps of obtaining the physiological segmentable signal of the patient; segmenting the physiological segmentable signal into a plurality of separate segmentable components; calculating a time series of the morphological distance between adjacent separate segmentable components of the plurality of separate segmentable components; and predicting patient outcome in response to the time series of the morphological distance. In another aspect, the invention relates to a method for extracting information from physiological signals for one or more subjects including the steps of partitioning the physiological signal into a plurality of components, grouping the components into a plurality of information classes, assigning a unique symbol to each information class, mapping each component to the assigned symbol, and examining one or more such sequences for clinical significance.

Automated Auscultation System

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US Patent:
20040260188, Dec 23, 2004
Filed:
Jun 17, 2003
Appl. No.:
10/464267
Inventors:
Zeeshan Syed - Wayzata MN, US
John Guttag - Lexington MA, US
Robert Levine - Brookline MA, US
Francesca Nesta - Boston MA, US
Dorothy Curtis - Framingham MA, US
International Classification:
A61B005/04
US Classification:
600/509000, 600/513000, 600/528000
Abstract:
The present invention provides systems and methods for performing automated auscultation and diagnosis of conditions of the cardiovascular system. The invention acquires an acoustic signal emanating from the cardiovascular system via an sensor. In addition, in certain embodiments of the invention an electrical signal, e.g., an electrocardiogram (EKG) is simultaneously acquired. The signals are digitized, and, optionally, filtered to remove noise. The invention then processes and analyses the signal(s) so as to provide a clinically relevant conclusion or recommendation such as a diagnosis or suggested additional tests or therapy. In preferred embodiments the system comprises: (1) a beat selection component that selects a plurality of beats for analysis, wherein each beat comprises an acoustic signal emanating from the cardiovascular system; (2) a time-frequency analysis component that performs a time-frequency decomposition of beats selected for analysis so as to identify or extract physiologically relevant features; and (3) a processing component that processes the information so at to provide a clinically relevant conclusion or recommendation. In preferred embodiments of the invention the system further includes an aggregation component that combines information obtained from a plurality of the beats selected for analysis. In one embodiment, the system diagnoses mitral valve prolapse.

Patient-Specific Seizure Onset Detection System

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US Patent:
20060111644, May 25, 2006
Filed:
May 27, 2005
Appl. No.:
11/140551
Inventors:
John Guttag - Lexington MA, US
Ali Shoeb - Winchester MA, US
Blaise Bourgeois - Newton MA, US
S. Treves - Wellesley MA, US
Steven Schachter - Sharon MA, US
Herman Edwards - Watertown MA, US
John Connolly - Norton MA, US
Assignee:
CHILDREN'S MEDICAL CENTER CORPORATION - Boston MA
MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT) - Cambridge MA
International Classification:
A61B 5/04
US Classification:
600544000
Abstract:
The present invention provides methods and systems for patient-specific seizure onset detection. In one embodiment, at least one EEG waveform of the patient is recorded, and at least one epoch (sample) of the waveform is extracted. The waveform sample is decomposed into one or more subband signals via a wavelet decomposition of the waveform sample, and one or more feature vectors are computed based on the subband signals. A seizure onset can then be identified based on classification of the feature vectors to a seizure or a non-seizure class by comparing the feature vectors with a decision measure previously computed for that patient. The decision measure can be derived based on reference seizure and non-seizure EEG waveforms of the patient. In another aspect, similar methodology is employed for automatic detection of alpha waves. In other aspects, the invention provides diagnostic and imaging systems that incorporate the above seizure-onset and alpha-wave detection methodology.

Method And Apparatus For Reducing The Number Of Channels In An Eeg-Based Epileptic Seizure Detector

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US Patent:
20090082689, Mar 26, 2009
Filed:
Aug 22, 2008
Appl. No.:
12/196690
Inventors:
John V. Guttag - Lexington MA, US
Ali Shoeb - Winchester MA, US
Elena L. Glassman - Pipersville PA, US
Eugene I. Shih - Cambridge MA, US
International Classification:
A61B 5/0478
US Classification:
600544
Abstract:
An ambulatory patient-specific epileptic seizure detector based on scalp EEG signals is presented. A method for selecting a patient-specific subset of electrodes from a plurality of m EEG channels needed to detect an epileptic seizure in the patient is also presented. Seizure EEG data is collected from the plurality of m EEG channels. An effective subset n of the channels of the plurality of m EEG channels is selected using recursive feature processing and a detector is constructed in response to the subset n of channels. The performance of the detector in detecting seizures is then estimated.

Identifying Groups Of Patients With Similar Physiological Characteristics And Risk Profiles

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US Patent:
20100016743, Jan 21, 2010
Filed:
Jul 16, 2009
Appl. No.:
12/504543
Inventors:
Zeeshan H. Syed - Wayzata MN, US
John V. Guttag - Lexington MA, US
Collin M. Stultz - Newton MA, US
International Classification:
A61B 5/0402
US Classification:
600509
Abstract:
The invention relates in part to methods for partitioning a plurality of patients into risk profile groups comprising the steps of: recording a physiological signal from each patient of a plurality of patients; segmenting the physiological signal into a plurality of components for each patient of a plurality of patients; grouping the components into a plurality of information classes for each patient of a plurality of patients; assigning a representation to each information class for each patient of a plurality of patients; and grouping the patients in response to the representations of their respective information classes.

Motif Discovery In Physiological Datasets: A Methodology For Inferring Predictive Elements

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US Patent:
20100016748, Jan 21, 2010
Filed:
Jul 16, 2009
Appl. No.:
12/504529
Inventors:
Zeeshan H. Syed - Wayzata MN, US
John V. Guttag - Lexington MA, US
Collin M. Stultz - Newton MA, US
International Classification:
A61B 5/0432
G06N 5/02
US Classification:
600523, 706 52, 706 54
Abstract:
The application relates a methodology and apparatus for identifying predictive patterns for acute clinical events in the absence of prior knowledge. Principles of conservation are used to identify activity that consistently precedes an outcome in patients, and describe a two-stage process that allows us to more efficiently search for such patterns in large datasets. This is achieved by first transforming continuous physiological signals from multiple patients into symbolic sequences, and by then searching for patterns in these reduced representations that are strongly associated with an outcome.

Patient-Specific Seizure Onset Detection System

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US Patent:
20110257517, Oct 20, 2011
Filed:
Jun 6, 2011
Appl. No.:
13/153819
Inventors:
John V. Guttag - Lexington MA, US
Ali Hossam Shoeb - Winchester MA, US
Blaise Bourgeois - Newton MA, US
S. Ted Treves - Wellesley MA, US
Steven C. Schachter - Sharon MA, US
Herman A. Edwards - Watertown MA, US
John Connolly - Norton MA, US
International Classification:
A61B 5/0476
A61B 6/03
A61B 6/00
US Classification:
600425, 600544, 600431
Abstract:
The present invention provides methods and systems for patient-specific seizure onset detection. In one embodiment, at least one EEG waveform of the patient is recorded, and at least one epoch (sample) of the waveform is extracted. The waveform sample is decomposed into one or more subband signals via a wavelet decomposition of the waveform sample, and one or more feature vectors are computed based on the subband signals. A seizure onset can then be identified based on classification of the feature vectors to a seizure or a non-seizure class by comparing the feature vectors with a decision measure previously computed for that patient. The decision measure can be derived based on reference seizure and non-seizure EEG waveforms of the patient. In another aspect, similar methodology is employed for automatic detection of alpha waves. In other aspects, the invention provides diagnostic and imaging systems that incorporate the above seizure-onset and alpha-wave detection methodology.

Linear-Based Eulerian Motion Modulation

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US Patent:
20140072190, Mar 13, 2014
Filed:
Mar 26, 2013
Appl. No.:
13/850717
Inventors:
Michael Rubinstein - Somerville MA, US
Eugene Inghaw Shih - Brookline MA, US
John V. Guttag - Lexington MA, US
Frederic Durand - Somerville MA, US
William T. Freeman - Acton MA, US
Assignee:
Massachusetts Institute of Technology - Cambridge MA
International Classification:
G06T 7/00
US Classification:
382128
Abstract:
In one embodiment, a method of amplifying temporal variation in at least two images comprises examining pixel values of the at least two images. The temporal variation of the pixel values between the at least two images can be below a particular threshold. The method can further include applying signal processing to the pixel values.

Isbn (Books And Publications)

Program Development in Java: Abstraction, Specification, and Object-Oriented Design

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Author

John Guttag

ISBN #

0201657686

Abstraction and Specification in Program Development

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Author

John Guttag

ISBN #

0262121123

Research Directions in Computer Science: An Mit Perspective

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Author

John V. Guttag

ISBN #

0262132575

Larch: Languages and Tools for Formal Specification

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Author

John V. Guttag

ISBN #

0387940065

Larch: Languages and Tools for Formal Specification

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Author

John V. Guttag

ISBN #

3540940065

Wikipedia

John Guttag

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John V. Guttag is an American Computer Scientist, Professor and former Head of the Department of Electrical Engineering and Computer Science at MIT.

John V Guttag from Waltham, MA, age ~75 Get Report