Evaluation of Coherence Between ECG and PPG Derived Parameters on Heart Rate Variability and Respiration in Healthy Volunteers With/Without Controlled ... View Full Text


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Article Info

DATE

2019-03-07

AUTHORS

Hao-Yu Jan, Mei-Fen Chen, Tieh-Cheng Fu, Wen-Chen Lin, Cheng-Lun Tsai, Kang-Ping Lin

ABSTRACT

Photoplethysmography (PPG) is used as a surrogate of electrocardiograms (ECG) for heart rate variability (HRV) analysis or respiratory rate monitoring. PPG is a more convenient way to measure HRV than ECG at rest, since respiration could be a confounding factor in HRV evaluation. However, it remains unclear whether or not controlled breathing affects breath-volume and breathing rate when HRV and pulse rate variability (PRV) are measured in different situations. Consciously controlled breathing was performed to alter the autonomic nervous states of subjects caused by respiratory sinus arrhythmia (RSA). The aim of this study was to investigate the coherence between parameters derived from ECG and PPG on healthy subjects with/without controlled breathing. With 30 healthy volunteers, we measured their respiratory frequency and recorded their ECG and PPG signals during spontaneous breathing and controlled breathing, including natural paced breathing, rapid and deep breathing, slow and deep breathing, rapid and shallow breathing, and slow and shallow breathing. Obvious coherence was observed between pulse rate and heart rate in both spontaneous breathing and controlled breathing tasks. However, a comparison of PRV and HRV indices demonstrated significant differences during controlled breathing. The results based on time domain and nonlinear method analysis showed that the frequency-dependent changes have more of an impact. The results also indicated that breathing corresponded well in ECG-derived parameters comparing with PPG-derived ones. We concluded that PPG-based devices cannot be applied as a precision screening tool to detect HRV, particularly during the cardiopulmonary analysis for the controlled breathing maneuver. More... »

PAGES

1-13

References to SciGraph publications

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  • 2012-04. A comparative study of pulse rate variability and heart rate variability in healthy subjects in JOURNAL OF CLINICAL MONITORING AND COMPUTING
  • 2012-02. ECG signal analysis for the assessment of sleep-disordered breathing and sleep pattern in MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
  • 2010-12. Data Fusion for Improved Respiration Rate Estimation in APPLIED SIGNAL PROCESSING
  • 2016-12. The physiological basis and measurement of heart rate variability in humans in JOURNAL OF PHYSICAL ANTHROPOLOGY
  • 2008-10. Selection of recurrence threshold for signal detection in THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS
  • 2016-08. Heart rate variability (HRV) in deep breathing tests and 5-min short-term recordings: agreement of ear photoplethysmography with ECG measurements, in 343 subjects in EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
  • 2006-12. Heart rate variability: a review in MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
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  • 2000-05. Monitoring of respiratory rate in postoperative care using a new photoplethysmographic technique in JOURNAL OF CLINICAL MONITORING AND COMPUTING
  • 2003-03. The Effects of Specific Respiratory Rates on Heart Rate and Heart Rate Variability in APPLIED PSYCHOPHYSIOLOGY AND BIOFEEDBACK
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    http://scigraph.springernature.com/pub.10.1007/s40846-019-00468-9

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    http://dx.doi.org/10.1007/s40846-019-00468-9

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