@inproceedings{a2da574148bd4f2fa383e4fa5bbb97c9,
title = "Design considerations and performance of a variable gain, variable bandwidth signal processing circuit for acoustoelectric imaging",
abstract = "Acoustoelectric imaging (AEI) is a new technique for mapping current densities at high resolution depending on the size of the ultrasound (US) focus. The design and performance of the recording system is crucial for efficient AEI because the amplitude of the AE signal in biological tissue is on the order of a microvolt or less. In this direction, an AE signal processing circuit (AE-SPC), containing high voltage pulse suppressor, variable gain amplifiers, and variable frequency bandpass filters (BPF) is developed to minimize sources of noise and maximize sensitivity for signal detection. AE-SPC is tested and evaluated using both simulations and bench-top testing. The design may be optimal for AE mapping of weak electric currents in excitable tissue, such as the heart and brain.",
keywords = "AEI, Acoustoelectric (AE) imaging, ECG, EEG, Ultrasound, Ultrasound Current Source Density Imaging",
author = "Bera, {Tushar Kanti} and Pier Ingram and Yexian Qin and Furenlid, {Lars R.} and Witte, {Russell S.}",
note = "Funding Information: V. ACKNOWLEDGMENTS The research work in the paper received the funding support from the NIH NINDS R24MH109060 Fund, National Institutes of Health (NIH), USA. Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Ultrasonics Symposium, IUS 2017 ; Conference date: 06-09-2017 Through 09-09-2017",
year = "2017",
month = oct,
day = "31",
doi = "10.1109/ULTSYM.2017.8092068",
language = "English (US)",
series = "IEEE International Ultrasonics Symposium, IUS",
publisher = "IEEE Computer Society",
booktitle = "2017 IEEE International Ultrasonics Symposium, IUS 2017",
}