Field validity of heart rate variability metrics produced by QRSTool and CMetX.

Interest in heart rate variability (HRV) metrics as markers of physiological and psychological health continues to grow beyond those with psychophysiological expertise, increasing the importance of developing suitable tools for researchers new to the field. Allen, Chambers, and Towers (2007) developed QRSTool and CMetX software as simple, user-friendly tools that can be used to compute metrics of HRV. In the present study, the authors examined the field validity of these software tools--that is, their validity when used by nonexperts. In a lab with extensive expertise in psychopathology but not psychophysiology, ECG data were obtained from 63 undergraduates at baseline and during a stressor and then processed using QRSTool and CMetX to produce the 10 HRV indices described in Allen et al. (2007). The indices displayed factor structures and patterns of changes from baseline to stressor that were similar to findings from Allen et al. and consistent with how indices of parasympathetic and sympathetic activity should behave. Results support the field validity of QRSTool and CMetX, suggesting that they are useful for nonexperts in psychophysiology interested in measuring HRV.

[1]  D. Levy,et al.  Impact of reduced heart rate variability on risk for cardiac events. The Framingham Heart Study. , 1996, Circulation.

[2]  Sheri L. Johnson,et al.  A discrete emotions approach to positive emotion disturbance in depression , 2011, Cognition & emotion.

[3]  J. Edens,et al.  Inter-rater reliability of the PCL-R total and factor scores among psychopathic sex offenders: are personality features more prone to disagreement than behavioral features? , 2010, Behavioral sciences & the law.

[4]  C. Wientjes,et al.  A comparison of three quantification methods for estimation of respiratory sinus arrhythmia. , 1990, Psychophysiology.

[5]  Mircea Miclea,et al.  Reduced heart rate variability and vagal tone in anxiety: Trait versus state, and the effects of autogenic training , 2009, Autonomic Neuroscience.

[6]  M. Toichi,et al.  A new method of assessing cardiac autonomic function and its comparison with spectral analysis and coefficient of variation of R-R interval. , 1997, Journal of the autonomic nervous system.

[7]  M. Nezworski,et al.  The Comprehensive System for the Rorschach: A Critical Examination , 1996 .

[8]  D. Adam,et al.  Assessment of autonomic function in humans by heart rate spectral analysis. , 1985, The American journal of physiology.

[9]  Richard J. Davidson,et al.  BOLD signal in insula is differentially related to cardiac function during compassion meditation in experts vs. novices , 2009, NeuroImage.

[10]  D. Keltner,et al.  Power, Distress, and Compassion Turning a Blind Eye to the Suffering of Others , 2008 .

[11]  Anna Weinberg,et al.  Autonomic impairment in Borderline Personality Disorder: A laboratory investigation , 2009, Brain and Cognition.

[12]  D. Mcleod,et al.  Major depression and cardiac autonomic control , 1997, Biological Psychiatry.

[13]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[14]  Field Reliability of Comprehensive System Scoring in an Adolescent Inpatient Sample , 2005, Assessment.

[15]  Y. Orbach,et al.  Criterion-based content analysis: a field validation study. , 1997, Child abuse & neglect.

[16]  David N. Towers,et al.  The many metrics of cardiac chronotropy: A pragmatic primer and a brief comparison of metrics , 2007, Biological Psychology.