Format

Send to

Choose Destination
See comment in PubMed Commons below
Int J Psychophysiol. 2013 Sep;89(3):297-304. doi: 10.1016/j.ijpsycho.2013.05.017. Epub 2013 Jun 8.

Smartphone-enabled pulse rate variability: an alternative methodology for the collection of heart rate variability in psychophysiological research.

Author information

1
The University of Sydney, Sydney, Australia. Electronic address: jamesheathers@gmail.com.

Abstract

Heart rate variability (HRV) is widely used to assess autonomic nervous system (ANS) function. It is traditionally collected from a dedicated laboratory electrocardiograph (ECG). This presents a barrier to collecting the large samples necessary to maintain the statistical power of between-subject psychophysiological comparisons. An alternative to ECG involves an optical pulse sensor or photoplethysmograph run from a smartphone or similar portable device: smartphone pulse rate variability (SPRV). Experiment 1 determined the simultaneous accuracy between ECG and SPRV systems in n = 10 participants at rest. Raw SPRV values showed a consistent positive bias, which was successfully attenuated with correction. Experiment 2 tested an additional n = 10 participants at rest, during attentional load, and during mild stress (exercise). Accuracy was maintained, but slightly attenuated during exercise. The best correction method maintained an accuracy of +/-2% for low-frequency spectral power, and +/-5% for high-frequency spectral power over all points. Thus, the SPRV system records a pulse-to-pulse approximation of an ECG-derived heart rate series that is sufficiently accurate to perform time- and frequency-domain analysis of its variability, as well as accurately reflecting change in autonomic output provided by typical psychophysiological stimuli. This represents a novel method by which an accurate approximation of HRV may be collected for large-sample or naturalistic cardiac psychophysiological research.

KEYWORDS:

Heart rate variability; Photoplethysmography; Pulse transit time; Smartphone

PMID:
23751411
DOI:
10.1016/j.ijpsycho.2013.05.017
[Indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Support Center