KAMAKSHI LAKSHMINARAYAN, MD
Neurology in Minneapolis, MN

License number

Minnesota 42678

Personal information

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Name

Address

Phone

Kamakshi Lakshminarayan

1785 Venus Ave, Saint Paul, MN 55112

(651) 633-0174
(651) 636-6766

Kamakshi Lakshminarayan

4775 Lake Sarah Heights Cir, Rockford, MN 55373

(763) 479-1958

Kamakshi Lakshminarayan

401 1St St S #410, Minneapolis, MN 55401

(612) 673-0550

Professional information

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Dr. Kamakshi Lakshminarayan, Minneapolis MN - MD (Doctor of Medicine)

Specialties:

Neurology

Address:

516 Delaware St SE, Minneapolis 55455
(612) 626-6688 (Phone)
701 Park Ave, Minneapolis 55415
(612) 873-2515 (Phone)

Languages:

English, Spanish

Hospitals:

516 Delaware St SE, Minneapolis 55455
701 Park Ave, Minneapolis 55415
Healtheast Saint John's Hospital
1575 Beam Ave, Maplewood 55109
Hennepin County Medical Center
701 Park Ave, Minneapolis 55415
Fairview University Medical Center - Mesabi
750 East 34Th St, Hibbing 55746

Education:

Residency Hospital
University Of Mn Med School

Content-Based Retrieval Of Series Data

US Patent:

6754388, Jun 22, 2004

Filed:

Jul 1, 1999

Appl. No.:

09/346245

Inventors:

Wendy K. Foslien - Minneapolis MN
Steven A. Harp - Coon Rapids MN
Kamakshi Lakshminarayan - Minneapolis MN
Dinkar A. Mylaraswamy - New Brighton MN

Assignee:

Honeywell Inc. - Morristown NJ

International Classification:

G06K 962

US Classification:

382215, 382209, 382218

Abstract:

A graphical user interface (GUI) is used to quickly and easily find data patterns within a data sequence that match a target data pattern representing an event of interest. The user first specifies the target data pattern either by dragging a cursor over the target or by selecting the target from a palette of predefined trend patterns. Search criteria, such as a match threshold and amplitude and duration constraints, are then specified. A pattern recognition technique is then used to find data patterns within the data sequence that satisfy the search criteria. These matching data patterns are then presented to the user ranked by similarity, avoiding the need for the user to sift through large amounts of irrelevant data. Particular pattern recognition algorithms are also disclosed.