Application of Kalman Filter to Remove TMS-Induced Artifacts from EEG Recordings

Characterizing and removing strong TMS - induced artifacts from EEG

Off-line removal of TMS-induced artifacts on human electroencephalography by Kalman filter.

In this paper we present an off-line Kalman filter approach to remove transcranial magnetic stimulation (TMS)-induced artifacts from electroencephalographic (EEG) recordings. Two dynamic models describing EEG and TMS signals generation are identified from data and the Kalman filter is applied to the linear system arising from their combination. The keystone of the approach is the use of time-va...

Projecting out muscle artifacts from TMS-evoked EEG

Transcranial magnetic stimulation combined with electroencephalography is a powerful tool for probing cortical excitability and connectivity; we can perturb one brain area and study the reactions at the stimulated and interconnected sites. When stimulating areas near cranial muscles, their activation produces a large artifact in the electroencephalographic signal, lasting tens of milliseconds a...

Application of barley straw to remove nitrate from drainage water

ABSTRACT-Nowadays farmers often use N-fertilizers to increase crop yield, but they lost quickly by leaching causes environmental contaminations that reported as most important source of pollutant. Although biofilters are useful for removing nitrate from drainage water, but many researches show that they need an external carbon source to sustain denitrification. Many researchers study on differe...

An Adaptive method to remove ocular artifacts from EEG signals using Wavelet Transform

This paper presents an adaptive filtering method for removing ocular artifacts in the electroencephalogram (EEG) records. The major concern in analyzing EEG signals is the presents of ocular artifacts in EEG records caused due to various factors. It has become necessary to design specific filters to remove the artifacts in EEG records. In this method, we propose an adaptive filtering method, wh...