Explorer Blind source separation to enhance spectral and non - linear features of magnetoencephalogram recordings
نویسندگان
چکیده
منابع مشابه
Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's disease.
This work studied whether a blind source separation (BSS) and component selection procedure could increase the differences between Alzheimer's disease (AD) patients and control subjects' spectral and non-linear features of magnetoencephalogram (MEG) recordings. MEGs were acquired with a 148-channel whole-head magnetometer from 62 subjects (36 AD patients and 26 controls), who were divided rando...
متن کاملComparison of Blind Source Separation Preprocessings Applied to Magnetoencephalogram Recordings to Improve the Classification of Alzheimer’s Disease Patients
This study compares diverse Blind Source Separation (BSS) techniques applied to magnetoencephalogram (MEG) background activity in order to improve the classification of Alzheimer’s Disease (AD) patients. MEG recordings from 18 AD patients and 13 control subjects were decomposed with the following BSS algorithms: AMUSE, SOBI, FastICA, and extended Infomax. Whereas AMUSE ranked the extracted BSS ...
متن کاملAssessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation
OBJECTIVES In this pilot study, we intended to assess whether a procedure based on blind source separation (BSS) and subsequent partial reconstruction of magnetoencephalogram (MEG) recordings might enhance the differences between MEGs from Alzheimer's disease (AD) patients and elderly control subjects. MATERIALS AND METHODS We analysed MEG background activity recordings acquired with a 148-ch...
متن کاملConsistency of the blind source separation computed with five common algorithms for magnetoencephalogram background activity.
Blind source separation (BSS) is widely used to analyse brain recordings like the magnetoencephalogram (MEG). However, few studies have compared different BSS decompositions of real brain data. Those comparisons were usually limited to specific applications. Therefore, we aimed at studying the consistency (i.e., similarity) of the decompositions estimated for real MEGs from 26 subjects using fi...
متن کاملMultichannel Linear Prediction for Blind Reverberant Audio Source Separation
A class of methods based on multichannel linear prediction (MCLP) can achieve effective blind dereverberation of a source, when the source is observed with a microphone array. We propose an inventive use of MCLP as a pre-processing step for blind source separation with a microphone array. We show theoretically that, under certain assumptions, such pre-processing reduces the original blind rever...
متن کامل