Literature DB >> 16759627

The multimodal world of medical monitoring displays.

Penelope Sanderson1.   

Abstract

A vision of the future of intraoperative monitoring for anesthesia is presented-a multimodal world based on advanced sensing capabilities. I explore progress towards this vision, outlining the general nature of the anesthetist's monitoring task and the dangers of attentional capture. Research in attention indicates different kinds of attentional control, such as endogenous and exogenous orienting, which are critical to how awareness of patient state is maintained, but which may work differently across different modalities. Four kinds of medical monitoring displays are surveyed: (1) integrated visual displays, (2) head-mounted displays, (3) advanced auditory displays and (4) auditory alarms. Achievements and challenges in each area are outlined. In future research, we should focus more clearly on identifying anesthetists' information needs and we should develop models of attention in different modalities and across different modalities that are more capable of guiding design.

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Year:  2006        PMID: 16759627     DOI: 10.1016/j.apergo.2006.04.022

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  5 in total

1.  An exploratory clinical evaluation of a head-worn display based multiple-patient monitoring application: impact on supervising anesthesiologists' situation awareness.

Authors:  Paul D Schlosser; Tobias Grundgeiger; Penelope M Sanderson; Oliver Happel
Journal:  J Clin Monit Comput       Date:  2019-02-05       Impact factor: 2.502

Review 2.  Evaluations of physiological monitoring displays: a systematic review.

Authors:  Matthias Görges; Nancy Staggers
Journal:  J Clin Monit Comput       Date:  2007-12-07       Impact factor: 2.502

Review 3.  Medical audible alarms: a review.

Authors:  Judy Edworthy
Journal:  J Am Med Inform Assoc       Date:  2012-10-25       Impact factor: 4.497

Review 4.  A Review of Visual Representations of Physiologic Data.

Authors:  Rishikesan Kamaleswaran; Carolyn McGregor
Journal:  JMIR Med Inform       Date:  2016-11-21

5.  Biomusic: An Auditory Interface for Detecting Physiological Indicators of Anxiety in Children.

Authors:  Stephanie Cheung; Elizabeth Han; Azadeh Kushki; Evdokia Anagnostou; Elaine Biddiss
Journal:  Front Neurosci       Date:  2016-08-30       Impact factor: 4.677

  5 in total

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