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Coherence analysis of peripheral blood flow signals is a potential method for evaluating autonomic nervous system
Qiuyue Lyu1, Yuning Qin2, Xin Wang3
1Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China.
Frontiers in Physiology
|October 29, 2025
Summary
Peripheral blood flow signals offer a novel, non-invasive method to assess autonomic nervous system (ANS) function, complementing traditional heart rate variability (HRV) analysis for better cardiovascular disease evaluation.
Area of Science:
- Physiology
- Biomedical Engineering
- Cardiovascular Research
Background:
- The autonomic nervous system (ANS) is vital for homeostasis and cardiovascular health.
- Heart rate variability (HRV) assesses ANS function but primarily reflects cardiac activity, limiting peripheral vascular insights.
- A comprehensive evaluation of ANS peripheral vascular regulation is needed.
Purpose of the Study:
- To investigate the feasibility of using peripheral blood flow signals for ANS function evaluation.
- To explore the correlation between peripheral blood flow signals and HRV.
- To establish a quantitative relationship between these signals.
Main Methods:
- Healthy subjects underwent controlled thermal (glucose solution) interventions to modulate ANS function.
- Peripheral blood flow signals and HRV were simultaneously recorded.
- Coherence analysis was employed to correlate blood flow signals with HRV.
Main Results:
- Significant correlations were found between peak values of peripheral blood flow signals and HRV within a specific frequency band.
- Coherence analysis demonstrated a link between peripheral vascular activity and cardiac autonomic regulation.
Conclusions:
- Peripheral blood flow signal analysis presents a novel, non-invasive approach to evaluate ANS function.
- This method enhances traditional HRV analysis by incorporating peripheral vascular information.
- The findings support the development of a more comprehensive, multi-dimensional ANS functional assessment system.
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