Using Model Checking to Detect Masking in IEC 60601-1-8-compliant Alarm Configurations

Matthew L. Bolton, Bassam Hasanain, Andrew D. Boyde, Judy Edworthy

Research output: Contribution to journalConference proceedings published in a journalpeer-review

Abstract

<jats:p> The failure of humans to respond to auditory medical alarms has resulted in numerous patient injuries and deaths. The widely used IEC 60601-1-8 international medical alarm standard was created to improve alarm discernibility and identification. Unfortunately, the melodic tonal patterns of IEC 60601-1-8’s alarms are particularly susceptible to simultaneous masking, a condition where concurrent sounds interact in ways that make one or more of them imperceptible. This paper presents a method, which builds on a previous implementation, that uses a novel combination of psychophysical modeling and model checking to detect masking in a modeled configuration of IEC 60601-1-8 alarms. We describe our updated method and demonstrate its power by using it to find masking in the alarms of an actual IEC 60601-1-8-compliant telemetry monitoring system. Results and future research are discussed. </jats:p>
Original languageEnglish
Pages (from-to)636-640
Number of pages0
JournalProceedings of the Human Factors and Ergonomics Society Annual Meeting
Volume60
Issue number1
DOIs
Publication statusPublished - Sept 2016

Fingerprint

Dive into the research topics of 'Using Model Checking to Detect Masking in IEC 60601-1-8-compliant Alarm Configurations'. Together they form a unique fingerprint.

Cite this