Real-Time Context-Aware Detection of Unsafe Events in Robot-Assisted Surgery

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  • Additional Information
    • Publication Information:
      IEEE
    • Publication Date:
      2020
    • Abstract:
      Cyber-physical systems for robotic surgery have enabled minimally invasive procedures with increased precision and shorter hospitalization. However, with increasing complexity and connectivity of software and major involvement of human operators in the supervision of surgical robots, there remain significant challenges in ensuring patient safety. This paper presents a safety monitoring system that, given the knowledge of the surgical task being performed by the surgeon, can detect safety-critical events in real-time. Our approach integrates a surgical gesture classifier that infers the operational context from the time-series kinematics data of the robot with a library of erroneous gesture classifiers that given a surgical gesture can detect unsafe events. Our experiments using data from two surgical platforms show that the proposed system can detect unsafe events caused by accidental or malicious faults within an average reaction time window of 1,693 milliseconds and F1 score of 0.88 and human errors within an average reaction time window of 57 milliseconds and F1 score of 0.76.
    • Contents Note:
      Conference Acronym: DSN
    • Author Affiliations:
      University of Virginia
    • ISBN:
      978-1-7281-5809-9
    • Relation:
      2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)
    • Accession Number:
      10.1109/DSN48063.2020.00054
    • Rights:
      Copyright 2020, IEEE
    • AMSID:
      9153443
    • Conference Acronym:
      DSN
    • Date of Current Version:
      2020
    • Document Subtype:
      IEEE Conference
    • Notes:
      Conference Location: Valencia, Spain, Spain

      Conference Start Date: 29 June 2020

      Conference End Date: 2 July 2020
    • Accession Number:
      edseee.9153443
  • Citations
    • ABNT:
      YASAR, M. S.; ALEMZADEH, H. Real-Time Context-Aware Detection of Unsafe Events in Robot-Assisted Surgery. 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Dependable Systems and Networks (DSN), 2020 50th Annual IEEE/IFIP International Conference on, DSN, [s. l.], p. 385–397, 2020. DOI 10.1109/DSN48063.2020.00054. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9153443. Acesso em: 28 set. 2020.
    • AMA:
      Yasar MS, Alemzadeh H. Real-Time Context-Aware Detection of Unsafe Events in Robot-Assisted Surgery. 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Dependable Systems and Networks (DSN), 2020 50th Annual IEEE/IFIP International Conference on, DSN. June 2020:385-397. doi:10.1109/DSN48063.2020.00054
    • APA:
      Yasar, M. S., & Alemzadeh, H. (2020). Real-Time Context-Aware Detection of Unsafe Events in Robot-Assisted Surgery. 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Dependable Systems and Networks (DSN), 2020 50th Annual IEEE/IFIP International Conference on, DSN, 385–397. https://doi.org/10.1109/DSN48063.2020.00054
    • Chicago/Turabian: Author-Date:
      Yasar, Mohammad Samin, and Homa Alemzadeh. 2020. “Real-Time Context-Aware Detection of Unsafe Events in Robot-Assisted Surgery.” 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Dependable Systems and Networks (DSN), 2020 50th Annual IEEE/IFIP International Conference on, DSN, June, 385–97. doi:10.1109/DSN48063.2020.00054.
    • Harvard:
      Yasar, M. S. and Alemzadeh, H. (2020) ‘Real-Time Context-Aware Detection of Unsafe Events in Robot-Assisted Surgery’, 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Dependable Systems and Networks (DSN), 2020 50th Annual IEEE/IFIP International Conference on, DSN, pp. 385–397. doi: 10.1109/DSN48063.2020.00054.
    • Harvard: Australian:
      Yasar, MS & Alemzadeh, H 2020, ‘Real-Time Context-Aware Detection of Unsafe Events in Robot-Assisted Surgery’, 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Dependable Systems and Networks (DSN), 2020 50th Annual IEEE/IFIP International Conference on, DSN, pp. 385–397, viewed 28 September 2020, .
    • MLA:
      Yasar, Mohammad Samin, and Homa Alemzadeh. “Real-Time Context-Aware Detection of Unsafe Events in Robot-Assisted Surgery.” 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Dependable Systems and Networks (DSN), 2020 50th Annual IEEE/IFIP International Conference on, DSN, June 2020, pp. 385–397. EBSCOhost, doi:10.1109/DSN48063.2020.00054.
    • Chicago/Turabian: Humanities:
      Yasar, Mohammad Samin, and Homa Alemzadeh. “Real-Time Context-Aware Detection of Unsafe Events in Robot-Assisted Surgery.” 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Dependable Systems and Networks (DSN), 2020 50th Annual IEEE/IFIP International Conference on, DSN, June 1, 2020, 385–97. doi:10.1109/DSN48063.2020.00054.
    • Vancouver/ICMJE:
      Yasar MS, Alemzadeh H. Real-Time Context-Aware Detection of Unsafe Events in Robot-Assisted Surgery. 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Dependable Systems and Networks (DSN), 2020 50th Annual IEEE/IFIP International Conference on, DSN [Internet]. 2020 Jun 1 [cited 2020 Sep 28];385–97. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9153443