Can changes in heart rate variability represented in sound be identified by non-medical experts?

Mariam Bahameish*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Heart rate variability (HRV) has become a wide-spread area for the investigation of the health and stress states of individuals. This paper aims at exploring the effectiveness of representing HRV measures with alternative modalities, other than visual displays, such as audio or haptics. Therefore, we undertook a preliminary study in which we applied a parameter mapping sonification approach to transform the HRV signal into an audible form. In this work, we sought to evaluate the human perception of the developed auditory interface. Hence, a dataset that involves interbeat interval measurements of individuals experiencing changes in mental state in the form of meditation was selected as the basis of the study. The HRV parameters of the dataset were mapped to acoustic features using a linear mapping technique. The feasibility of the system was assessed by measuring the learnability, performance, latency, and confidence aspects. The results suggest a great potential of incorporating auditory displays in the analysis of HRV. Participants were able to distinguish the different meditation states and types with minimal training time. However, further studies should be conducted on a larger population to provide verification of the findings of this preliminary study.

Original languageEnglish
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450359719
DOIs
Publication statusPublished - 2 May 2019
Externally publishedYes
Event2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/199/05/19

Keywords

  • Auditory display
  • Heart rate variability
  • HRV
  • Parameter mapping
  • Sonification

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