EVALUATING LINEAR MEG INVERSE PROBLEM METHODS BASED ON DISTRIBUTED SOURCE MODEL AND DEVELOPING AN EFFICIENT COMBINATIVE METHOD

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Nekooei m.h.; BABAJANI A.; SOLTANIANZADEH H.

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Seminar Paper

Paper Information

Seminar: IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING
Year:2004 | Issue:11

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Title

EVALUATING LINEAR MEG INVERSE PROBLEM METHODS BASED ON DISTRIBUTED SOURCE MODEL AND DEVELOPING AN EFFICIENT COMBINATIVE METHOD

Author(s)

Nekooei m.h. | BABAJANI A. | SOLTANIANZADEH H.

Keywords

FUNCTIONAL BRAIN MAPPING

MEG

INVERSE PROBLEM

DISTRIBUTED SOURCE MODEL

ANATOMICAL MRI DATA

Abstract

ABSTRACT: IN THIS RESEARCH THE MEG INVERSE PROBLEM METHODS BASED ON DISTRIBUTED SOURCE MODEL IS INVESTIGATED. MOST COMMON METHODS (7 METHODS) WHICH ARE PROPOSED IN THIS FIELD ARE IMPLEMENTED AND EVALUATED ACCORDING TO THREE METRICS. IN ADDITION BASED ON THE EVALUATION RESULTS AN EFFICIENT COMBINATIVE METHOD IS PROPOSED WHICH HAVE THE BENEFITS OF PREVIOUS METHODS. REAL ANATOMICAL AND HEAD MODEL DATA CONFIGURATIONS ARE USED FOR SIMULATION. AT LAST THE RESULTS OF APPLYING SOME SELECTED METHODS TO A REAL SOMATOSENSORY DATASET ARE PRESENTED.

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APA: Copy

Nekooei, m.h., BABAJANI, A., & SOLTANIANZADEH, H.. (2004). EVALUATING LINEAR MEG INVERSE PROBLEM METHODS BASED ON DISTRIBUTED SOURCE MODEL AND DEVELOPING AN EFFICIENT COMBINATIVE METHOD. IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/905565/en

Vancouver: Copy

Nekooei m.h., BABAJANI A., SOLTANIANZADEH H.. EVALUATING LINEAR MEG INVERSE PROBLEM METHODS BASED ON DISTRIBUTED SOURCE MODEL AND DEVELOPING AN EFFICIENT COMBINATIVE METHOD. 2004. Available from: https://sid.ir/paper/905565/en

IEEE: Copy

m.h. Nekooei, A. BABAJANI, and H. SOLTANIANZADEH, “EVALUATING LINEAR MEG INVERSE PROBLEM METHODS BASED ON DISTRIBUTED SOURCE MODEL AND DEVELOPING AN EFFICIENT COMBINATIVE METHOD,” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2004, [Online]. Available: https://sid.ir/paper/905565/en

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