Alternative Devices for Heart Rate Variability Measures: A Comparative Test-Retest Reliability Study.

Autor: Killian JM; 711th Human Performance Wing, Air Force Research Laboratory, Wright Patterson Air Force Base, WPAFB, OH 45433 USA., Radin RM; Department of Psychiatry and Behavioral Medicine, Uniuversity of California, San Francisco, San Francisco, CA 94143, USA., Gardner CL; Defense Health Headquarters, Falls Church, VA 22042 USA., Kasuske L; Center for Nursing Science and Clinical Inquiry, Walter Reed National Military Medical Center, Bethesda, MD 20814, USA., Bashirelahi K; Traumatic Injury Research Program, Uniformed Services University, Bethesda, MD 20814, USA., Nathan D; Center for Neuroscience and Regenerative Medicine, Uniformed Services University and the Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20814, USA., Keyser DO; Traumatic Injury Research Program, Uniformed Services University, Bethesda, MD 20814, USA., Cellucci CJ; Aquinas LLC, Berwyn, PA 19312 USA., Darmon D; Department of Mathematics, Monmouth University, West Long Branch, NJ 07764, USA., Rapp PE; Traumatic Injury Research Program, Uniformed Services University, Bethesda, MD 20814, USA.
Jazyk: angličtina
Zdroj: Behavioral sciences (Basel, Switzerland) [Behav Sci (Basel)] 2021 May 02; Vol. 11 (5). Date of Electronic Publication: 2021 May 02.
DOI: 10.3390/bs11050068
Abstrakt: Using healthy adult participants, seven measures of heart rate variability were obtained simultaneously from four devices in five behavioral conditions. Two devices were ECG-based and two utilized photoplethysmography. The 140 numerical values (measure, condition, device) are presented. The comparative operational reliability of the four devices was assessed, and it was found that the two ECG-base devices were more reliable than the photoplethysmographic devices. The interchangeability of devices was assessed by determining the between-device Limits of Agreement. Intraclass correlation coefficients were determined and used to calculate the standard error of measurement and the Minimal Detectable Difference. The Minimal Detectable Difference, MDD, quantifies the smallest statistically significant change in a measure and is therefore critical when HRV measures are used longitudinally to assess treatment response or disease progression.
Databáze: MEDLINE