Paperdoi:10.1016/j.bspc.2026.111661

Phase-resolved PPG imaging of microvascular responses to skin prick testing (Borik et al., BSPC 2026)

Venue listed2027Added Nov 2, 2026

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Authors: Stefan Borik, Sona Sikynova, Jan Seleng, Aymen A. Alian

Biomedical Signal Processing and Control (vol. 2027-03)

TL;DR

This is a secondary analysis of a skin-prick-test protocol. A monochromatic camera recorded forearm PPG imaging (PPGI), with fingertip PPG as a systemic reference. Cardiac-band components were extracted by wavelet ridge reconstruction, and three measures were computed: phase shift Δϕ, phase-locking value (PLV) and temporal offset Δt.

  • Form factor: camera

Abstract

Background Allergic skin reactions induce pronounced microvascular changes that are typically evaluated using wheal-and-flare responses. While photoplethysmography imaging (PPGI) can quantify perfusion amplitude, little is known about how local inflammation affects the temporal organization of pulsatile microvascular signals. Methods This study is based on a secondary, cross-sectional observational analysis of data acquired during a previous clinical skin prick testing (SPT) protocol. Forearm PPGI recordings were acquired using a monochromatic camera, with simultaneously recorded fingertip photoplethysmography serving as a systemic reference. Cardiac-frequency components were extracted using wavelet ridge reconstruction, and phase shift (Δϕ), phase locking value (PLV), and phase-derived temporal offset (Δt) were computed. Linear mixed-effects models were used to assess associations with allergic reactivity. Results Reactive SPT sites showed increased cardiac-band perfusion and a consistent phase advance relative to both references. Allergic sites exhibited phase shifts of approximately − 0.54 rad (fingertip) and − 0.52 rad (saline), corresponding to a temporal advance of about 60–65 ms, while synchronization remained high (PLV ≈ 0.81–0.91). Conclusion Allergic inflammation is associated with local phase and temporal advance of pulsatile microvascular signals, indicating locally modified pulsatile dynamics in the skin. Phase analysis of PPGI provides complementary information beyond perfusion amplitude and may enhance objective assessment of inflammatory skin responses.

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Tasks & signals

Signals

Keywords

PPG ImagingPhase AnalysisMicrocirculationSkin Prick TestInflammationWaveletCamera

How it works

How Method works: Setup → Method → TargetSetup: Signals (PPGI, PPG); Form factor (camera). Method: Method.SetupSignals: PPGI, PPGSignalsPPGI, PPGForm factor: cameraForm factorcameraMethodMethod

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Borik, S., Sikynova, S., Seleng, J., & Alian, A. A. (2027). Phase-resolved PPG imaging of microvascular responses to skin prick testing (Borik et al., BSPC 2026). Biomedical Signal Processing and Control. https://doi.org/10.1016/j.bspc.2026.111661
Borik, Stefan, Sona Sikynova, Jan Seleng, and Aymen A. Alian. 2027. "Phase-resolved PPG imaging of microvascular responses to skin prick testing (Borik et al., BSPC 2026)." Biomedical Signal Processing and Control. https://doi.org/10.1016/j.bspc.2026.111661.
Borik, S., Sikynova, S., Seleng, J. and Alian, A. A. (2027) 'Phase-resolved PPG imaging of microvascular responses to skin prick testing (Borik et al., BSPC 2026)', Biomedical Signal Processing and Control. doi: 10.1016/j.bspc.2026.111661.
Borik, Stefan, et al. "Phase-resolved PPG imaging of microvascular responses to skin prick testing (Borik et al., BSPC 2026)." Biomedical Signal Processing and Control, 2027. https://doi.org/10.1016/j.bspc.2026.111661.
S. Borik, S. Sikynova, J. Seleng, and A. A. Alian, "Phase-resolved PPG imaging of microvascular responses to skin prick testing (Borik et al., BSPC 2026)," Biomedical Signal Processing and Control, 2027, doi: 10.1016/j.bspc.2026.111661.
@article{borik2027phaseresolved,
  title         = {{Phase-resolved PPG imaging of microvascular responses to skin prick testing (Borik et al., BSPC 2026)}},
  author        = {Borik, Stefan and Sikynova, Sona and Seleng, Jan and Alian, Aymen A.},
  year          = {2027},
  journal       = {Biomedical Signal Processing and Control},
  doi           = {10.1016/j.bspc.2026.111661}
}

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