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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
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Computerized dynamic pupillometry indices mirrors the heart rate variability parameters.

S Okutucu1, M Civelekler, M Aparci

  • 1Department of Cardiology, Memorial Ankara Hospital, Ankara, Turkey. sercanokutucu@yahoo.com.

European Review for Medical and Pharmacological Sciences
|June 2, 2016
PubMed
Summary
This summary is machine-generated.

Dynamic pupillometry (DP) measures autonomic nervous system (ANS) function. This study shows DP parameters, specifically pupil contraction velocity (Vc) and percentage change (R%), can predict cardiac autonomic activity assessed by heart rate variability (HRV).

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Area of Science:

  • Physiology
  • Autonomic Nervous System Research
  • Cardiovascular Health

Background:

  • Dynamic pupillometry (DP) offers a non-invasive method to assess the autonomic nervous system (ANS) by analyzing pupillary light responses.
  • Heart rate variability (HRV) analysis is a standard technique for evaluating cardiac health and ANS modulation of the heart.

Purpose of the Study:

  • To investigate the potential of DP as a predictive tool for cardiac autonomic activity, as measured by HRV.
  • To establish correlations between specific DP parameters and established HRV indices.

Main Methods:

  • 44 healthy subjects underwent DP measurements, recording parameters like pupil diameter and contraction/dilation dynamics.
  • 24-hour ambulatory electrocardiographic monitoring was used to collect HRV data, including time and frequency domain indices.
  • Statistical analyses were performed to identify significant correlations and predictors between DP and HRV parameters.

Main Results:

  • Significant correlations were found between pupil contraction velocity (Vc) and HRV indices (LF/HF, RMSSD).
  • Pupil percentage change (R%) also showed significant correlations with HRV measures (PNN50, RMSSD, LF/HF).
  • Vc and pupil amplitude (Ac) were identified as independent predictors of RMSSD, while Vc predicted PNN50 and LF/HF.

Conclusions:

  • Pupillary autonomic function assessed via DP demonstrates a correlation with cardiac autonomic function evaluated by HRV.
  • Specific DP parameters, namely Vc and R%, can serve as predictors for parasympathetic and sympathetic indicators of cardiac autonomic function, respectively.