Local pulse wave velocity assessment by flow-guided nanosensor networks for early diagnosing and localization of atherosclerosis

Project publication · IEEE Sensors Journal

Summary

The article proposes a theoretical framework to measure relative changes in pulse-wave velocity using flow-guided nanosensor networks in the bloodstream.

Esquema de nanosensores para estimación local de velocidad de onda de pulso
Figure from the original article. Source: IEEE Sensors Journal, reproduced without modification under CC BY-NC-ND 4.0.

Main contribution

The proposal models laminar flow, pressure-wave detection and transit-time calculation between nanobots to locate vascular regions with higher stiffness. The result is a sensing architecture aimed at early diagnosis and localization of atherosclerosis.

Resultados y alcance

Las simulaciones relacionan el tiempo de propagación de nanosensores guiados por el flujo con cambios locales de velocidad de onda de pulso asociados a estrechamientos arteriales. El método permite localizar alteraciones en el modelo estudiado, aunque requiere validación adicional con geometrías, hemodinámica y condiciones biológicas más realistas.

Link with BoND1

For BoND1, the article extends connected sensing toward very small-scale and highly specialized networks. The logic of node-to-node communication, efficiency and distributed information extraction is consistent with the objective of exploring non-cellular IoT connectivity in demanding scenarios.

DOIUPCT Repository

Project publication IEEE Sensors Journal

Summary

The article proposes a theoretical framework to measure relative changes in pulse wave velocity using blood flow-guided nanosensor networks.

Scheme of nanosensors for local estimation of pulse wave velocity
Figure from the original article. Source: IEEE Sensors Journal, reproduced without modifications under CC BY-NC-ND 4.0.

Bibliometric indicators

JCR quartileQ1
Impact factor4.5
Google Scholar citations1
JCR area
Instruments & Instrumentation
JCR year
2025
Scholar query
26 October 2026

Main contribution

The proposal models laminar flow, the detection of pressure waves and the calculation of transit time between nanobots to locate vascular regions with greater rigidity. The result is a sensing architecture aimed at early diagnosis and localization of atherosclerosis.

Results and scope

Simulations relate the propagation time of flow-guided nanosensors to local pulse wave velocity changes associated with arterial narrowings. The method allows locating alterations in the studied model, although it requires additional validation with more realistic geometries, hemodynamics and biological conditions.

Link with BoND1

For BoND1, the paper expands the scope of connected sensing toward very low-scale, highly specialized networks. The logic of communication between nodes, efficiency and distributed information extraction is consistent with the objective of exploring non-cellular IoT connectivity in demanding scenarios.

DOIUPCT Repository

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