Improving real-life estimates of emotion based on heart rate: A perspective on taking metabolic heart rate into account

Anne Marie Brouwer, Elsbeth van Dam, Jan B.F. van Erp, Derek P. Spangler, Justin R. Brooks

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Extracting information about emotion from heart rate in real life is challenged by the concurrent effect of physical activity on heart rate caused by metabolic need. “Non-metabolic heart rate,” which refers to the heart rate that is caused by factors other than physical activity, may be a more sensitive and more universally applicable correlate of emotion than heart rate itself. The aim of the present article is to explore the evidence that non-metabolic heart rate, as it has been determined up until now, indeed reflects emotion. We focus on methods using accelerometry since these sensors are readily available in devices suitable for daily life usage. The evidence that non-metabolic heart rate as determined by existing methods reflect emotion is limited. Alternative possible routes are explored. We conclude that for real-life cases, estimating the type and intensity of activities based on accelerometry (and other information), and in turn use those to determine the non-metabolic heart rate for emotion is most promising.

Original languageEnglish (US)
Article number284
JournalFrontiers in Human Neuroscience
Volume12
DOIs
StatePublished - Jul 16 2018

All Science Journal Classification (ASJC) codes

  • Neuropsychology and Physiological Psychology
  • Neurology
  • Psychiatry and Mental health
  • Biological Psychiatry
  • Behavioral Neuroscience

Fingerprint

Dive into the research topics of 'Improving real-life estimates of emotion based on heart rate: A perspective on taking metabolic heart rate into account'. Together they form a unique fingerprint.

Cite this