Tanveer F Mahmood

US Patent:

8594398, Nov 26, 2013

Filed:

Jun 26, 2009

Appl. No.:

12/492914

Inventors:

David James Beymer - San Jose CA, US
Fei Wang - San Jose CA, US
Tanveer Fathima Mahmood - Cupertino CA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06K 9/00

US Classification:

382128, 382159, 382203, 382218, 382224, 600437

Abstract:

A method for recognizing heart diseases in a cardiac echo video of a heart with an unknown disease using a spatio-temporal disease model derived from a training echo video, comprising the steps of: generating a plurality of training models for heart diseases, wherein the cardiac echo videos are each derived from a known viewpoint and the disease of the heart is known; analyzing the video of the heart with the unknown disease by fitting a model of shape and motion for each frame and combining the results across the frames; and, reporting the disease using a classification method for choosing among the diseases of interest.

US Patent:

20070283338, Dec 6, 2007

Filed:

Jun 2, 2006

Appl. No.:

11/422023

Inventors:

Rajeev Gupta - New Delhi, IN
Guy Maring Lohman - San Jose CA, US
Tanveer Fathima Mahmood - Cupertino CA, US
Laurent Sebastien Mignet - New Delhi, IN
Natwar Modani - New Delhi, IN
Mark Francis Wilding - Barrie, CA

International Classification:

G06F 9/45

US Classification:

717154

Abstract:

The invention finds matches in ordered sequences, e.g. program function call stacks from anomalous software program executions for discovering related or identical software flaws and possible known solutions. Call stacks are matched after removing recursive and uninformative subpatterns, e.g. names of common error handling routines, to see if they were generated due to the same possibly known problem. Sequences statistically unlikely to be matches are pruned from the search. Matches found earlier in the sequences may be weighted differently, e.g. to be more important in call stacks, than other matches. Sequences are indexed so that those relevant to a query are identified automatically without detailed exhaustive search. Maximum matches are found by optimizing a cost function based on weighted sequence similarity.

US Patent:

20110213257, Sep 1, 2011

Filed:

Feb 26, 2010

Appl. No.:

12/714020

Inventors:

TANVEER SYEDA MAHMOOD - Cupertino CA, US
FEI WANG - San Jose CA, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

A61B 5/0402

US Classification:

600509

Abstract:

A method and system and computer program product for estimating a heart period is disclosed. The heart period is detected from an ECG recording. ECG data is acquired, and converted into electronic ECG images. The data is processed to prepare for estimation of a heart period. The heart period is estimated based upon an average of intervals between a plurality of detected peaks of electronic electrocardiogram waveforms. The peaks are determined by taking a product of a filtered electronic ECG signal with a wandering baseline removed, a difference between the upper and lower ECG envelopes of the electronic ECG images, and a first order derivative of a derived ECG waveform.

US Patent:

20120316452, Dec 13, 2012

Filed:

Aug 22, 2012

Appl. No.:

13/592123

Inventors:

TANVEER SYEDA MAHMOOD - Cupertino CA, US
FEI WANG - San Jose CA, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

A61B 5/044
A61B 5/0432

US Classification:

600523

Abstract:

A method for estimating a heart period is disclosed. The heart period is detected from an ECG recording. ECG data is acquired, and converted into electronic ECG images. The data is processed to prepare for estimation of a heart period. The heart period is estimated based upon an average of intervals between a plurality of detected peaks of electronic electrocardiogram waveforms. The peaks are determined by taking a product of a filtered electronic ECG signal with a wandering baseline removed, a difference between the upper and lower ECG envelopes of the electronic ECG images, and a first order derivative of a derived ECG waveform.

US Patent:

20130011033, Jan 10, 2013

Filed:

Sep 14, 2012

Appl. No.:

13/617218

Inventors:

David James Beymer - San Jose CA, US
Fei Wang - San Jose CA, US
Tanveer Fathima Mahmood - Cupertino CA, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06K 9/00

US Classification:

382128

Abstract:

A method for recognizing heart diseases in a cardiac echo video of a heart with an unknown disease using a spatio-temporal disease model derived from a training echo video, comprising the steps of: generating a plurality of training models for heart diseases, wherein the cardiac echo videos are each derived from a known viewpoint and the disease of the heart is known; analyzing the video of the heart with the unknown disease by fitting a model of shape and motion for each frame and combining the results across the frames; and, reporting the disease using a classification method for choosing among the diseases of interest.