Magnetoencephalogram source locating device based on sensor array decomposition and beam forming

A sensor array and beamforming technology, applied in the field of biomedical information, can solve problems such as not easy to be observed, weak signal, interference by noise, etc.

Active Publication Date: 2017-12-29
BEIHANG UNIV +1
View PDF5 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The reason why this type of method has a very good positioning effect is that it is mainly applied to the covariance matrix estimation and the minimum variance optimization criterion of the projected vector. However, the variance estimation using the original sensor data has disadvantages such as noise interference.
Mainly due to signals from deep or deeper sources in the brain being picked up by external sensors, these signals are inherently weak and some are not even easily observed

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Magnetoencephalogram source locating device based on sensor array decomposition and beam forming
  • Magnetoencephalogram source locating device based on sensor array decomposition and beam forming
  • Magnetoencephalogram source locating device based on sensor array decomposition and beam forming

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0119] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0120] This part will describe the specific embodiment of the present invention in detail, and the magnetoencephalogram depth source location device based on sensor array decomposition and beamforming disclosed in the present invention includes a magnetoencephalogram sensor and a positioning unit, and the magnetoencephalogram sensor collects the sensor signal, the positioning unit mainly includes three modules of iterative CP (CANDECOMP / PARAFAC) decomposition of the sensor array, a vector beamforming estimator, and a source localization algorithm.

[0121] 1. Iterative decomposition module of sensor array

[0122] For the observed MEG sensor signal X = [x 1 , x 2 ,...,x M ], the core of source location is to deduce the location of the source signal according to the sensor signal, this process is called inverse problem solving. In order to e...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a magnetoencephalogram source locating device based on sensor array decomposition and beam forming. The device comprises a magnetoencephalogram sensor and a locating unit, the locating unit comprises an iterative decomposition module of a sensor array, a vector beam forming estimator module and a depth source locating and calculating module; the iterative decomposition module of the sensor array uses the iterative CP (CANDECOMP / PARAFAC) matrix decomposition method to reconstruct MEG sensor array signals; the vector beam forming estimator module uses reconstructed sensor array signals and second order statistical magnitude of samples to estimate the covariance matrix of the population; the depth source locating and calculating module estimates the location of a deep brain source by using the minimum variance optimization criterion of projection vectors. The technical scheme is less affected by the noise and interference of the sensor signals, the locating precision of the depth source is very high, and the method of finding the lesion area for epileptic patients of the origin of the medial temporal lobe can be better improved.

Description

technical field [0001] The invention belongs to the intersecting technical field of imaging technology in the field of biomedical information and lesion area positioning in medical neurology, and in particular relates to a magnetoencephalogram source positioning device based on sensor array decomposition and beam forming. Background technique [0002] Magnetoencephalography is a functional neuroimaging technique with high temporal and spatial resolution, and the signals acquired by the sensor are hardly affected by interference from the cranium and scalp. Therefore, using this high-quality sensor signal to deduce the location of the signal source in the brain, this source location device and method have been widely used in many fields such as cognitive neuroscience and neurology. One of the very important applications is to find epilepsy Patient's epileptogenic focus. According to the available data, magnetoencephalography has achieved good results in the localization of pa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): A61B5/05A61B5/055A61B5/00G06K9/00
CPCA61B5/0522A61B5/055A61B5/4094A61B5/7271A61B5/0042A61B2576/026G06F2218/22
Inventor 张冀聪胡业刚
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products