3D printed multi-channel EEG sensors for zebrafish

  • Sung Joon Cho
  • , Tai Seung Nam
  • , Seok Yong Choi
  • , Myeong Kyu Kim
  • , Sohee Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Electroencephalography (EEG) is being widely used to study cognitive and brain functions in epilepsy and other neurological diseases. Also, zebrafish is becoming a popular animal model to be used in biological in vivo tests, because of its cost effectiveness, genetic accessibility, and experimental accessibility. However, multichannel EEG signals have not been measured from zebrafish due to technical limitations. Only single-channel data from zebrafish brain is being measured, but it uses invasive methods, which induce unnecessary artifacts. Also, recently, 3D printing techniques have been becoming popular, and can provide cheaper and faster fabrication steps than traditional fabrication techniques such as MEMS. Therefore, in this study, we introduce a noninvasive multichannel EEG recording system that implements the 3D printing technique to record signals from underwater animals such as zebrafish. With the developed EEG sensors, EEG signals from the cranial area of zebrafish were successfully acquired. The capability to non-invasively measure multi-channel EEG signals from zebrafish can provide great opportunity in studying neurological diseases.

Original languageEnglish
Title of host publication2015 IEEE SENSORS - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479982028
DOIs
StatePublished - 31 Dec 2015
Event14th IEEE SENSORS - Busan, Korea, Republic of
Duration: 1 Nov 20154 Nov 2015

Publication series

Name2015 IEEE SENSORS - Proceedings

Conference

Conference14th IEEE SENSORS
Country/TerritoryKorea, Republic of
CityBusan
Period1/11/154/11/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • 3D Printer
  • Electrodes
  • Electroencephalography (EEG)
  • Zebrafish

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