Paper Info
Title
A Source Signal Modulation Mechanism With Pulse Focused Ultrasound For Acoustoelectric Brain Imaging
Abstract
Conventional noninvasive electroencephalogram (EEG) suffers from poor spatial resolution due to the effect of volume conductor. Based on acoustoelectric (AE) effect, acoustoelectric brain imaging (ABI) is a novel neuroimaging technique for mapping brain electrical activity, which is potential of high resolution in both space and time domains. This study proposes a source signal modulation mechanism with pulse focused ultrasound (pFU) for ABI. First, spectral analysis of AE signal is implemented at different pulse repetition frequencies (PRF), including 100Hz, 200Hz, 500Hz and 1kHz. Results of amplitude spectrum indicate that obvious high amplitude response of AE signal is observed at each PRF and corresponding harmonic frequencies. Besides, the modulation relationship between AE signal and PRF is investigated in detail. For each source signal of 10Hz and 30Hz, the oscillation frequency of AE signal is consistent with the corresponding PRF. What's more, for different PRFs, the envelope of AE signal is of the same frequency and phase with the source signal. These experiment results demonstrate that pulse focused ultrasound has a modulation mechanism on source signal at PRF and confirm the feasibility of restoring source signal from the modulated AE signal.
Year
DOI
Venue
2019
10.1109/ner.2019.8717031
2019 9TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)
Field
DocType
ISSN
Computer vision,Signal modulation,Computer science,Pulse (signal processing),Artificial intelligence,Neuroimaging,Acoustics,Focused ultrasound
Conference
1948-3546
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Yijie Zhou102.37
Xizi Song204.73
Xinrui Chen301.35
Xue Zhao401.01
yufeng ke517.78
Dong Ming610551.47