Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research

Abstract Researchers have increasingly begun to use consumer wearables or wrist-worn smartwatches and fitness monitors for measurement of cardiovascular psychophysiological processes related to mental and physical health outcomes. These devices have strong appeal because they allow for continuous, s...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Benjamin W. Nelson, Carissa A. Low, Nicholas Jacobson, Patricia Areán, John Torous, Nicholas B. Allen
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Acceso en línea:https://doaj.org/article/65181f121a9848f389e01cb7d0c93944
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:65181f121a9848f389e01cb7d0c93944
record_format dspace
spelling oai:doaj.org-article:65181f121a9848f389e01cb7d0c939442021-12-02T18:02:55ZGuidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research10.1038/s41746-020-0297-42398-6352https://doaj.org/article/65181f121a9848f389e01cb7d0c939442020-06-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0297-4https://doaj.org/toc/2398-6352Abstract Researchers have increasingly begun to use consumer wearables or wrist-worn smartwatches and fitness monitors for measurement of cardiovascular psychophysiological processes related to mental and physical health outcomes. These devices have strong appeal because they allow for continuous, scalable, unobtrusive, and ecologically valid data collection of cardiac activity in “big data” studies. However, replicability and reproducibility may be hampered moving forward due to the lack of standardization of data collection and processing procedures, and inconsistent reporting of technological factors (e.g., device type, firmware versions, and sampling rate), biobehavioral variables (e.g., body mass index, wrist dominance and circumference), and participant demographic characteristics, such as skin tone, that may influence heart rate measurement. These limitations introduce unnecessary noise into measurement, which can cloud interpretation and generalizability of findings. This paper provides a brief overview of research using commercial wearable devices to measure heart rate, reviews literature on device accuracy, and outlines the challenges that non-standardized reporting pose for the field. We also discuss study design, technological, biobehavioral, and demographic factors that can impact the accuracy of the passive sensing of heart rate measurements, and provide guidelines and corresponding checklist handouts for future study data collection and design, data cleaning and processing, analysis, and reporting that may help ameliorate some of these barriers and inconsistencies in the literature.Benjamin W. NelsonCarissa A. LowNicholas JacobsonPatricia AreánJohn TorousNicholas B. AllenNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020)
institution DOAJ
collection DOAJ
language EN
topic Computer applications to medicine. Medical informatics
R858-859.7
spellingShingle Computer applications to medicine. Medical informatics
R858-859.7
Benjamin W. Nelson
Carissa A. Low
Nicholas Jacobson
Patricia Areán
John Torous
Nicholas B. Allen
Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research
description Abstract Researchers have increasingly begun to use consumer wearables or wrist-worn smartwatches and fitness monitors for measurement of cardiovascular psychophysiological processes related to mental and physical health outcomes. These devices have strong appeal because they allow for continuous, scalable, unobtrusive, and ecologically valid data collection of cardiac activity in “big data” studies. However, replicability and reproducibility may be hampered moving forward due to the lack of standardization of data collection and processing procedures, and inconsistent reporting of technological factors (e.g., device type, firmware versions, and sampling rate), biobehavioral variables (e.g., body mass index, wrist dominance and circumference), and participant demographic characteristics, such as skin tone, that may influence heart rate measurement. These limitations introduce unnecessary noise into measurement, which can cloud interpretation and generalizability of findings. This paper provides a brief overview of research using commercial wearable devices to measure heart rate, reviews literature on device accuracy, and outlines the challenges that non-standardized reporting pose for the field. We also discuss study design, technological, biobehavioral, and demographic factors that can impact the accuracy of the passive sensing of heart rate measurements, and provide guidelines and corresponding checklist handouts for future study data collection and design, data cleaning and processing, analysis, and reporting that may help ameliorate some of these barriers and inconsistencies in the literature.
format article
author Benjamin W. Nelson
Carissa A. Low
Nicholas Jacobson
Patricia Areán
John Torous
Nicholas B. Allen
author_facet Benjamin W. Nelson
Carissa A. Low
Nicholas Jacobson
Patricia Areán
John Torous
Nicholas B. Allen
author_sort Benjamin W. Nelson
title Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research
title_short Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research
title_full Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research
title_fullStr Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research
title_full_unstemmed Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research
title_sort guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/65181f121a9848f389e01cb7d0c93944
work_keys_str_mv AT benjaminwnelson guidelinesforwristwornconsumerwearableassessmentofheartrateinbiobehavioralresearch
AT carissaalow guidelinesforwristwornconsumerwearableassessmentofheartrateinbiobehavioralresearch
AT nicholasjacobson guidelinesforwristwornconsumerwearableassessmentofheartrateinbiobehavioralresearch
AT patriciaarean guidelinesforwristwornconsumerwearableassessmentofheartrateinbiobehavioralresearch
AT johntorous guidelinesforwristwornconsumerwearableassessmentofheartrateinbiobehavioralresearch
AT nicholasballen guidelinesforwristwornconsumerwearableassessmentofheartrateinbiobehavioralresearch
_version_ 1718378808985255936