Intraoperative multichannel audio-visual information recording and automatic surgical phase and incident detection

Takashi Suzuki*, Yasuo Sakurai, Kitaro Yoshimitsu, Kyojiro Nambu, Yoshihiro Muragaki, Hiroshi Iseki

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    18 Citations (Scopus)

    Abstract

    Identification, analysis, and treatment of potential risk in surgical workflow are the key to decrease medical errors in operating room. For the automatic analysis of recorded surgical information, this study reports multichannel audio visual recording system, and its review and analysis system. Motion in operating room is quantified using video file size without motion tracking. Conversation among surgical staff is quantified using fast Fourier transformation and frequency filter without speech recognition. The results suggested the progression phase of surgical procedure.

    Original languageEnglish
    Title of host publication2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
    Pages1190-1193
    Number of pages4
    DOIs
    Publication statusPublished - 2010 Dec 1
    Event2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
    Duration: 2010 Aug 312010 Sept 4

    Publication series

    Name2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

    Conference

    Conference2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
    Country/TerritoryArgentina
    CityBuenos Aires
    Period10/8/3110/9/4

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Signal Processing
    • Health Informatics

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