Unconstrained and Noninvasive Measurement of Swimming Behavior of Small Fish Based on Ventilatory Signals

• KITAYAMA Shigehisa

  Graduate School of Engineering, Hiroshima University

• SOH Zu

  Graduate School of Engineering, Osaka University

• HIRANO Akira

  Department of Electrical Engineering and Information Science, Kure National College of Technology

• TSUJI Toshio

  Graduate School of Engineering, Hiroshima University

• TAKIGUCHI Noboru

  Graduate School of Natural Science and Technology, Kanazawa University

• OHTAKE Hisao

  Graduate School of Engineering, Osaka University

Bibliographic Information

Other Title

• 呼吸波計測に基づく小型魚類遊泳行動の非接触·非拘束計測
• コキュウハ ケイソク ニ モトズク コガタギョルイ ユウエイ コウドウ ノ ヒセッショク · ヒコウソク ケイソク

Abstract

Ventilatory signal is a kind of bioelectric signals reflecting the ventilatory conditions of fish, and has received recent attention as an indicator for assessment of water quality, since breathing is adjusted by the respiratory center according to changes in the underwater environment surrounding the fish. The signals are thus beginning to be used in bioassay systems for water examination. Other than ventilatory conditions, swimming behavior also contains important information for water examination. The conventional bioassay systems, however, only measure either ventilatory signals or swimming behavior. This paper proposes a new unconstrained and noninvasive measurement method that is capable of conducting ventilatory signal measurement and behavioral analysis of fish at the same time. The proposed method estimates the position and the velocity of a fish in free-swimming conditions using power spectrum distribution of measured ventilatory signals from multiple electrodes. This allowed the system to avoid using a camera system which requires light sources. In order to validate estimation accuracy, the position and the velocity estimated by the proposed method were compared to those obtained from video analysis. The results confirmed that the estimated error of the fish positions was within the size of fish, and the correlation coefficient between the velocities was 0.906. The proposed method thus not only can measure the ventilatory signals, but also performs behavioral analysis as accurate as using a video camera.

Journal

• Transactions of the Society of Instrument and Control Engineers

  Transactions of the Society of Instrument and Control Engineers 48 (3), 151-158, 2012

  The Society of Instrument and Control Engineers

Keywords

• behavioral analysis
• bioelectric signals
• small fish

Details

• CRID: 1390001204504822784
• NII Article ID: 10030597301
• NII Book ID: AN00072392
• DOI: 10.9746/sicetr.48.151
• BIBCODE: 2012TSICE..48..151K
• ISSN: 18838189
• ISSN: 04534654
• NDL BIB ID: 023617964
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I023617964
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed