A miniature neural recording device

Epsy S. Edward; Abbas Z. Kouzani; Julian Berk; Susannah J Tye

doi:10.1109/ICIT.2016.7474892

A miniature neural recording device

Epsy S. Edward, Abbas Z. Kouzani, Julian Berk, Susannah J Tye

Psychiatry and Psychology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

This paper presents a portable neural recording device for use with laboratory animals. It can detect and record neural signals from the cortical region of the brain during pre-clinical trials. The device utilizes simplified circuitry to perform signal detection, filtering, sampling, and storage. It includes analog and digital components each implemented on a separate small printed circuit board. The two printed circuit boards are then attached to one another to form the device. It is capable of uninterrupted operation for over 2 hours on a single coin battery. A bench-testing of the device was performed with pre-recorded neural signal which then injected to the input of the device to give validation of efficient operation of the device. Its amplification and filtration features have been analyzed. An overall 56 dB amplification and filtration in the frequency range of 300 Hz to 4 KHz was achieved. Sampling and storage at a reduced power and computational load is demonstrated with uninterrupted storage of the neural signal. A comparison of the input and reconstructed neural signals shows minimal variation error.

Original language	English (US)
Title of host publication	Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1012-1015
Number of pages	4
Volume	2016-May
ISBN (Electronic)	9781467380751
DOIs	https://doi.org/10.1109/ICIT.2016.7474892
State	Published - May 19 2016
Event	IEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan, Province of China Duration: Mar 14 2016 → Mar 17 2016

Other

Other	IEEE International Conference on Industrial Technology, ICIT 2016
Country/Territory	Taiwan, Province of China
City	Taipei
Period	3/14/16 → 3/17/16

Keywords

amplification
device
filtering
neural recording
portable
storage

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications

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10.1109/ICIT.2016.7474892

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Edward, ES, Kouzani, AZ, Berk, J & Tye, SJ 2016, A miniature neural recording device. in Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. vol. 2016-May, 7474892, Institute of Electrical and Electronics Engineers Inc., pp. 1012-1015, IEEE International Conference on Industrial Technology, ICIT 2016, Taipei, Taiwan, Province of China, 3/14/16. https://doi.org/10.1109/ICIT.2016.7474892

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abstract = "This paper presents a portable neural recording device for use with laboratory animals. It can detect and record neural signals from the cortical region of the brain during pre-clinical trials. The device utilizes simplified circuitry to perform signal detection, filtering, sampling, and storage. It includes analog and digital components each implemented on a separate small printed circuit board. The two printed circuit boards are then attached to one another to form the device. It is capable of uninterrupted operation for over 2 hours on a single coin battery. A bench-testing of the device was performed with pre-recorded neural signal which then injected to the input of the device to give validation of efficient operation of the device. Its amplification and filtration features have been analyzed. An overall 56 dB amplification and filtration in the frequency range of 300 Hz to 4 KHz was achieved. Sampling and storage at a reduced power and computational load is demonstrated with uninterrupted storage of the neural signal. A comparison of the input and reconstructed neural signals shows minimal variation error.",

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author = "Edward, {Epsy S.} and Kouzani, {Abbas Z.} and Julian Berk and Tye, {Susannah J}",

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N2 - This paper presents a portable neural recording device for use with laboratory animals. It can detect and record neural signals from the cortical region of the brain during pre-clinical trials. The device utilizes simplified circuitry to perform signal detection, filtering, sampling, and storage. It includes analog and digital components each implemented on a separate small printed circuit board. The two printed circuit boards are then attached to one another to form the device. It is capable of uninterrupted operation for over 2 hours on a single coin battery. A bench-testing of the device was performed with pre-recorded neural signal which then injected to the input of the device to give validation of efficient operation of the device. Its amplification and filtration features have been analyzed. An overall 56 dB amplification and filtration in the frequency range of 300 Hz to 4 KHz was achieved. Sampling and storage at a reduced power and computational load is demonstrated with uninterrupted storage of the neural signal. A comparison of the input and reconstructed neural signals shows minimal variation error.

AB - This paper presents a portable neural recording device for use with laboratory animals. It can detect and record neural signals from the cortical region of the brain during pre-clinical trials. The device utilizes simplified circuitry to perform signal detection, filtering, sampling, and storage. It includes analog and digital components each implemented on a separate small printed circuit board. The two printed circuit boards are then attached to one another to form the device. It is capable of uninterrupted operation for over 2 hours on a single coin battery. A bench-testing of the device was performed with pre-recorded neural signal which then injected to the input of the device to give validation of efficient operation of the device. Its amplification and filtration features have been analyzed. An overall 56 dB amplification and filtration in the frequency range of 300 Hz to 4 KHz was achieved. Sampling and storage at a reduced power and computational load is demonstrated with uninterrupted storage of the neural signal. A comparison of the input and reconstructed neural signals shows minimal variation error.

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A miniature neural recording device

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Keywords

ASJC Scopus subject areas

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