Laleh J Jalali from Novato, CA, age 64

Us Patents

System And Method For Efficiently Distinguishing Among Cardiac Ischemia, Hypoglycemia And Hyperglycemia Using An Implantable Medical Device And An External System
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US Patent:

7756572, Jul 13, 2010
Filed:

Apr 25, 2007
Appl. No.:

11/740175
Inventors:

Mohssen Fard - Woodland Hills CA, US
Xiaoyi Min - Thousand Oaks CA, US
Peter Boileau - Valencia CA, US
Jong Gill - Valencia CA, US
Bing Zhu - Sunnyvale CA, US
Jay Snell - Studio City CA, US
Laleh Jalali - Moorpark CA, US
Josh Reiss - Kirkland WA, US
Gene Bornzin - Simi Valley CA, US
Assignee:

Pacesetter, Inc. - Sylmar CA
International Classification:

A61B 5/0468
US Classification:

600517, 600516
Abstract:

Techniques are described for efficiently detecting and distinguishing among cardiac ischemia, hypoglycemia or hyperglycemia based on intracardiac electrogram (IEGM) signals. In one example, a preliminary indication of an episode of cardiac ischemia is detected based on shifts in ST segment elevation within the IEGM. In response, the implanted device then records additional IEGM data for transmission to an external system. The external system analyzes the additional IEGM data to confirm the detection of cardiac ischemia using a more sophisticated analysis procedure exploiting additional detection parameters. In particular, the external system uses detection parameters capable of distinguishing hypoglycemia, hyperglycemia and hyperkalemia from cardiac ischemia, such as QTmax and QTend intervals. Alternatively, the more sophisticated analysis procedure may be performed by the device itself, if it is so equipped. Other examples described herein pertain instead to the detection of atrial fibrillation.

System And Method For Adaptively Adjusting Cardiac Ischemia Detection Thresholds And Other Detection Thresholds Used By An Implantable Medical Device
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US Patent:

7769436, Aug 3, 2010
Filed:

Jun 4, 2007
Appl. No.:

11/757796
Inventors:

Peter Boileau - Valencia CA, US
Jay Snell - Studio City CA, US
Rupinder Bharmi - Stevenson Ranch CA, US
Laleh Jalali - Moorpark CA, US
Gene A. Bornzin - Simi Valley CA, US
Assignee:

Pacesetter, Inc. - Sylmar CA
International Classification:

A61B 5/04
A61B 5/0402
A61B 5/0452
US Classification:

600509, 600517
Abstract:

Techniques are described for adaptively adjusting detection thresholds for use in detecting cardiac ischemia and other abnormal physiological conditions based on morphological parameters derived from intracardiac electrogram (IEGM) signals, impedance measurements, or other signals. In one example, where ST segment elevation is used to detect cardiac ischemia, default detection thresholds are determined in advance from an examination of variations in ST segment elevations occurring within a population of patients. Thereafter, an individual pacemaker or other implantable medical device uses the default thresholds during an initial learning period to detect ischemia within the patient in which the device is implanted. During the initial learning period, the pacemaker also collects data representative of the range of variation in ST segment elevations occurring within the patient. The pacemaker then adaptively adjusts the thresholds based on the range of variation so as to improve detection specificity within the patient.

Method And System For Trending Variation In Coronary Burden Across Multiple Heart Rate Ranges
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US Patent:

7930017, Apr 19, 2011
Filed:

May 25, 2007
Appl. No.:

11/753759
Inventors:

Eric S. Fain - Menlo Park CA, US
Jay Snell - Studio City CA, US
Katie Hoberman - S. Pasadena CA, US
Laleh Jalali - Moorpark CA, US
Bing Zhu - Sunnyvale CA, US
Jeffery D. Snell - Chatsworth CA, US
Assignee:

Pacesetter, Inc. - Sunnyvale CA
International Classification:

A61B 5/04
US Classification:

600509, 600515, 607 14
Abstract:

A method and system are provided for trending variation in coronary burden across multiple heart rate ranges. The method and system include obtaining cardiac signals having a segment of interest over a period of time where each cardiac signal has an associated heart rate that falls within at least one heart rate range. Segment variations of the segment of interest are determined and grouped based on the associated heart rates to produce distributions of segment variations that are associated with the heart rate ranges. Trending information is produced by automatically comparing the distributions of segment variations between different heart rate ranges.

Methods And Systems For Trending St Segment Changes Over Time
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US Patent:

8521267, Aug 27, 2013
Filed:

Jun 29, 2007
Appl. No.:

11/771660
Inventors:

Laleh Jalali - Moorpark CA, US
Jay Snell - Studio City CA, US
Elizabeth Bacon - Portland OR, US
Katie Hoberman - S. Pasadena CA, US
Bing Zhu - Sunnyvale CA, US
Assignee:

Pacesetter, Inc. - Sunnyvale CA
International Classification:

A61B 5/0472
US Classification:

600516
Abstract:

A method and system are provided for trending a coronary burden such as an ischemic burden or acute myocardial infarction (AMI) for a patient. Trending provides obtaining cardiac data over a period of time, identifying the onset and the termination of coronary episodes based on a ST segment variation within the cardiac data, recording coronary burden information, and presenting the coronary burden information to a user. The coronary burden information may include the number of coronary episodes occurring over a period of time, the time duration of the coronary episodes, and the maximum ST segment variations for the coronary episodes that occur over a period of time.

System And Method For Tracking St Shift Data Utilizing Histograms
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US Patent:

7725171, May 25, 2010
Filed:

Aug 31, 2007
Appl. No.:

11/848606
Inventors:

Bing Zhu - Sunnyvale CA, US
Jay Snell - Studio City CA, US
Laleh Jalali - Moorpark CA, US
Katie Hoberman - S. Pasadena CA, US
Elizabeth Bacon - Portland OR, US
Assignee:

Pacesetter, Inc. - Sunnyvale CA
International Classification:

A61B 5/04
US Classification:

600509
Abstract:

A method and system are provided for tracking ST shift data. The system includes an implantable medical device having an input configured to receive cardiac signals. Each cardiac signal has an associated heart rate and includes a segment of interest. The implantable medical device further includes a processor configured to determine segment variations of the segment of interest in the cardiac signals. The processor determines a heart rate associated with each of the segment variations with each heart rate falling within a corresponding heart rate range. The implantable medical device also includes a memory configured to store a group of histograms for a corresponding group of heart rate ranges. The histograms store distributions for the segment variations within corresponding heart rate ranges.

Method For Calculating The Importance Of Features In Iterative Multi-Label Models To Improve Explainability
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US Patent:

20210304039, Sep 30, 2021
Filed:

Mar 24, 2020
Appl. No.:

16/828490
Inventors:

- Tokyo, JP
Laleh JALALI - Santa Clara CA, US
International Classification:

G06N 5/04
G06N 20/00
Abstract:

Example implementations described herein involve systems and methods for calculating the importance of each iteration and of each input feature for multi-label models that optimize a multi-label objective function in an iterative manner. The example implementations are based on the incremental improvement in the objective function rather than an application-specific metric such as accuracy.

Care Path Analysis And Management Platform
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US Patent:

20200082941, Mar 12, 2020
Filed:

Sep 11, 2018
Appl. No.:

16/127486
Inventors:

- Tokyo, JP
Hsiu-Khuern TANG - San Jose CA, US
Abhay MEHTA - Austin TX, US
Laleh JALALI - San Jose CA, US
Maojing FU - Sunnyvale CA, US
Hiroaki OZAKI - Tokyo, JP
International Classification:

G16H 50/20
G06N 99/00
Abstract:

In some examples, a system may generate a plurality of care path patient profile models based on a plurality of care path patterns for a plurality of past patient admissions. For example, each care path patient profile model may include a trained classifier. Further, the system may receive information related to a new patient admission, and may generate features from the received information related to the new patient admission. The system may input the features generated from the received information related to the new patient admission into the plurality of care path patient profile models to obtain a respective probability of being classified in a respective care path based on an amount of similarity to the patients who have gone through each care path. In addition, the system may present, on a display, information related to at least one care path pattern in a graphical user interface.