Velocity-domain motion quality measures for surgical performance evaluation and feedback

Barathwaj Murali, Viony M. Belvroy, Shivam Pandey, Jean Bismuth, Michael D. Byrne, Marcia K. O’Malley

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Endovascular navigation proficiency requires a significant amount of manual dexterity from surgeons. Objective performance measures derived from endovascular tool tip kinematics have been shown to correlate with expertise; however, such metrics have not yet been used during training as a basis for real-time performance feedback. This paper evaluates a set of velocity-based performance measures derived from guidewire motion to determine their suitability for online performance evaluation and feedback. We evaluated the endovascular navigation skill of 75 participants using three metrics (spectral arc length, average velocity, and idle time) as they steered tools to anatomical targets using a virtual reality simulator. First, we examined the effect of navigation task and experience level on performance and found that novice performance was significantly different from intermediate and expert performance. Then we computed correlations between measures calculated online and spectral arc length, our “gold standard” metric, calculated offline (at the end of the trial, using data from the entire trial). Our results suggest that average velocity and idle time calculated online are strongly and consistently correlated with spectral arc length computed offline, which was not the case when comparing spectral arc length computed online and offline. Average velocity and idle time, both time-domain based performance measures, are therefore more suitable measures than spectral arc length, a frequency-domain based metric, to use as the basis of online performance feedback. Future work is needed to determine how to best provide real-time performance feedback to endovascular surgery trainees based on these metrics.

Original languageEnglish (US)
Article number011107
JournalJournal of Medical Devices, Transactions of the ASME
Issue number1
StatePublished - Mar 2021

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Biomedical Engineering


Dive into the research topics of 'Velocity-domain motion quality measures for surgical performance evaluation and feedback'. Together they form a unique fingerprint.

Cite this