Estimating heart rate and RSA from the mattress-recorded kinetocardiogram

Steven H. Woodward, Ned J. Arsenault, Karin Voelker, Tram Nguyen, Janel Lynch, Greg Leskin, Javaid Sheikh

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

This article describes a method for extracting heart rate (HR) and respiratory sinus arrhythmia (RSA) from the kinetocardiogram (KCG) recorded from accelerometers embedded in a mattress topper. Validation has been performed via comparison with simultaneously recorded ECG. All-night estimates of HR and RSA magnitude derived from both methods were highly correlated. KCG-derived estimates of HR were slightly lower, and those of RSA magnitude higher, than those derived from ECG. These biases are consistent with the need to constrain KCG estimation to periods free of body movement. Mattress actigraphy represents a zero-burden method of obtaining intensive longitudinal indices of cardiac status.

Original languageEnglish
Pages (from-to)635-638
Number of pages4
JournalPsychophysiology
Volume44
Issue number4
DOIs
Publication statusPublished - Jul 2007
Externally publishedYes

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Keywords

  • ECG
  • Heart rate
  • Parasympathetic nervous system
  • Sleep

ASJC Scopus subject areas

  • Physiology
  • Physiology (medical)
  • Psychology(all)
  • Neuropsychology and Physiological Psychology
  • Experimental and Cognitive Psychology

Cite this

Woodward, S. H., Arsenault, N. J., Voelker, K., Nguyen, T., Lynch, J., Leskin, G., & Sheikh, J. (2007). Estimating heart rate and RSA from the mattress-recorded kinetocardiogram. Psychophysiology, 44(4), 635-638. https://doi.org/10.1111/j.1469-8986.2007.00526.x