Exploration of the Conditions for Occurrence of Photoplethysmographic Signal Inversion above the Dorsalis Pedis Artery.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
10 Oct 2024
Historique:
received: 15 09 2024
revised: 01 10 2024
accepted: 08 10 2024
medline: 26 10 2024
pubmed: 26 10 2024
entrez: 26 10 2024
Statut: epublish

Résumé

Inversion of the photoplethysmographic (PPG) signal is a rarely reported case. This signal anomaly can have implications for PPG-based cardiovascular assessments. The conditions for PPG signal inversion in the vicinity of the dorsalis pedis (DPA) artery of the foot were investigated. Wireless multi-wavelength PPG sensing with skin-probe contact pressure and local skin temperature were studied at different sensor positions, and the occurrence of inversion (OOI) was investigated. Twelve healthy adult volunteers were studied over four LED wavelengths at three levels of contact pressure for 11 probe positions. A novel algorithm quantified the proportion of inverted samples with respect to the abovementioned variables. Our algorithm classifying inverted vs. non-inverted pulses achieved 98.3% accuracy. Ten of the participants had at least one inverted signal identified. The impact of interindividual variation on inversion prevalence was large, but different LEDs, relative position to the DPA and sensor contact pressure also affected OOI. Skin surface and room temperatures showed no impact on OOI. Lateral measurements showed 39.6% more inversion at maximum compared to minimum contact pressure. Mechanical capillary bed variations and arterial reflections during venous engorgement are considered viable explanations for our observations. These findings motivate an expanded study of the occurrence of PPG signal inversion.

Identifiants

pubmed: 39459987
pii: s24206505
doi: 10.3390/s24206505
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Fredrik Wilsbeck Jerve (FW)

Department of Electronic Systems, Norwegian University of Science and Technology, 7034 Trondheim, Norway.

Dag Roar Hjelme (DR)

Department of Electronic Systems, Norwegian University of Science and Technology, 7034 Trondheim, Norway.

Håvard Kalvøy (H)

Department of Clinical and Biomedical Engineering, Oslo University Hospital, 0372 Oslo, Norway.

John Allen (J)

Research Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5RW, UK.

Christian Tronstad (C)

Department of Clinical and Biomedical Engineering, Oslo University Hospital, 0372 Oslo, Norway.

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Classifications MeSH