ArticleRoyal Society open science2023
Measurement of stress-induced sympathetic nervous activity using multi-wavelength PPG.
Article in Royal Society open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 15 citations in OpenAlex.
- Assessing Mental Health and Emotional States by Using Smartphone Photoplethysmography-Based Digital Pulse Waveform Analysis: Cross-Sectional Observational Study.JMIR mHealth and uHealth · 2026Observational
- Early hemodynamic differences between generalized and focal epilepsy measured by photoplethysmography.Scientific reports · 2025Article
- Physiological Regularity and Synchrony in Individuals with Gaming Disorder.Entropy (Basel, Switzerland) · 2024Article
- Measurement of stress-induced sympathetic nervous activity using multi-wavelength PPG.Royal Society open science · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The onset of stress triggers sympathetic arousal (SA), which causes detectable changes to physiological parameters such as heart rate, blood pressure, dilation of the pupils and sweat release. The objective quantification of SA has tremendous potential to prevent and manage psychological disorders. Photoplethysmography (PPG), a non-invasive method to measure skin blood flow changes, has been used to estimate SA indirectly. However, the impact of various wavelengths of the PPG signal has not been investigated for estimating SA. In this study, we explore the feasibility of using various statistical and nonlinear features derived from peak-to-peak (AC) values of PPG signals of different wavelengths (green, blue, infrared and red) to estimate stress-induced changes in SA and compare their performances. The impact of two physical stressors: and Hand Grip are studied on 32 healthy individuals. Linear (Mean, s.d.) and nonlinear (Katz, Petrosian, Higuchi, SampEn, TotalSampEn) features are extracted from the PPG signal's AC amplitudes to identify the onset, continuation and recovery phases of those stressors. The results show that the nonlinear features are the most promising in detecting stress-induced sympathetic activity.
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Registered trials
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