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Surgical soundtracks: automatic acoustic augmentation of surgical procedures

  • Sasan MatinfarEmail author
  • M. Ali Nasseri
  • Ulrich Eck
  • Michael Kowalsky
  • Hessam Roodaki
  • Navid Navab
  • Chris P. Lohmann
  • Mathias Maier
  • Nassir Navab
Original Article

Abstract

Purpose

Advances in sensing and digitalization enable us to acquire and present various heterogeneous datasets to enhance clinical decisions. Visual feedback is the dominant way of conveying such information. However, environments rich with many sources of information all presented through the same channel pose the risk of over stimulation and missing crucial information. The augmentation of the cognitive field by additional perceptual modalities such as sound is a workaround to this problem. A major challenge in auditory augmentation is the automatic generation of pleasant and ergonomic audio in complex routines, as opposed to overly simplistic feedback, to avoid alarm fatigue.

Methods

In this work, without loss of generality to other procedures, we propose a method for aural augmentation of medical procedures via automatic modification of musical pieces.

Results

Evaluations of this concept regarding recognizability of the conveyed information along with qualitative aesthetics show the potential of our method.

Conclusion

In this paper, we proposed a novel sonification method for automatic musical augmentation of tasks within surgical procedures. Our experimental results suggest that these augmentations are aesthetically pleasing and have the potential to successfully convey useful information. This work opens a path for advanced sonification techniques in the operating room, in order to complement traditional visual displays and convey information more efficiently.

Keywords

Computer-assisted interventions Auditory display Surgical sonification Medical augmented reality Acoustic augmentation Psychoacoustics 

Notes

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

There is no study presented in this paper which requires ethical approval.

Informed consent

This articles does not contain patient data.

Supplementary material

Supplementary material 1 (mp4 13361 KB)

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Copyright information

© CARS 2018

Authors and Affiliations

  • Sasan Matinfar
    • 1
    Email author
  • M. Ali Nasseri
    • 1
    • 2
  • Ulrich Eck
    • 1
  • Michael Kowalsky
    • 1
  • Hessam Roodaki
    • 1
  • Navid Navab
    • 3
  • Chris P. Lohmann
    • 2
  • Mathias Maier
    • 2
  • Nassir Navab
    • 1
    • 4
  1. 1.Computer Aided Medical ProceduresTechnische Universität MünchenMunichGermany
  2. 2.Augenklinik rechts der IsarTechnische Universität MünchenMunichGermany
  3. 3.Topological Media LabConcordia UniversityMontrealCanada
  4. 4.Computer Aided Medical ProceduresJohns Hopkins UniversityBaltimoreUSA

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