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Davila MI, Lewis GF, Porges SW. The PhysioCam: A Novel Non-Contact Sensor to Measure Heart Rate Variability in Clinical and Field Applications. Front Public Health. 2017;5:300doi: 10.3389/fpubh.2017.00300.
Davila, M. I., Lewis, G. F., & Porges, S. W. (2017). The PhysioCam: A Novel Non-Contact Sensor to Measure Heart Rate Variability in Clinical and Field Applications. Frontiers in public health, 5300. https://doi.org/10.3389/fpubh.2017.00300
Davila, Maria I, et al. "The PhysioCam: A Novel Non-Contact Sensor to Measure Heart Rate Variability in Clinical and Field Applications." Frontiers in public health vol. 5 (2017): 300. doi: https://doi.org/10.3389/fpubh.2017.00300
Davila MI, Lewis GF, Porges SW. The PhysioCam: A Novel Non-Contact Sensor to Measure Heart Rate Variability in Clinical and Field Applications. Front Public Health. 2017 Nov 22;5:300. doi: 10.3389/fpubh.2017.00300. eCollection 2017. PMID: 29214150; PMCID: PMC5702637.
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Front Public Health. 2017 Nov 22;5:300. doi: 10.3389/fpubh.2017.00300. eCollection 2017.

The PhysioCam: A Novel Non-Contact Sensor to Measure Heart Rate Variability in Clinical and Field Applications.

Frontiers in public health

Maria I Davila, Gregory F Lewis, Stephen W Porges

Affiliations

  1. Brain Body Center for Psychophysiology and Bioengineering (BBCPB), Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  2. Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN, United States.
  3. Kinsey Institute, Indiana University Bloomington, Morrison Hall Indiana University, Bloomington, IN, United States.

PMID: 29214150 PMCID: PMC5702637 DOI: 10.3389/fpubh.2017.00300

Abstract

Heart rate variability (HRV) is a reliable indicator of health status and a sensitive index of autonomic stress reactivity. Stress negatively affects physical and psychological wellness by decreasing cardiovascular health and reducing quality of life. Wearable sensors have made it possible to track HRV during daily activity, and recent advances in mobile technology have reduced the cost and difficulty of applying this powerful technique. Although advances have made sensors smaller and lighter, some burden on the subject remains. Chest-worn electrocardiogram (ECG) sensors provide the optimal source signal for HRV analysis, but they require obtrusive electrode or conductive material adherence. A less invasive surrogate of HRV can be derived from the arterial pulse obtained using the photoplethysmogram (PPG), but sensor placement requirements limit the application of PPG in field research. Factors including gender, age, height, and weight also affect PPG-HRV level, but PPG-HRV is sufficient to track individual HRV reactions to physical and mental challenges. To overcome the limitations of contact sensors, we developed the PhysioCam (PhyC), a non-contact system capable of measuring arterial pulse with sufficient precision to derive HRV during different challenges. This passive sensor uses an off the shelf digital color video camera to extract arterial pulse from the light reflected from an individual's face. In this article, we validate this novel non-contact measure against criterion signals (ECG and PPG) in a controlled laboratory setting. Data from 12 subjects are presented under the following physiological conditions: rest, single deep breath and hold, and rapid breathing. The following HRV parameters were validated: interbeat interval (IBI), respiratory sinus arrhythmia (RSA), and low frequency HRV (LF). When testing the PhyC against ECG or PPG: the Bland-Altman plots for the IBIs show no systematic bias; correlation coefficients (all

Keywords: arterial pulse; heart rate variability; non-contact monitoring; optics and physiology; sensors agreement

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