Local pulse wave velocity assessment by flow-guided nanosensor networks for early diagnosing and localization of atherosclerosis – BoND1: B6G Non-Cellular Technologies for Enhanced IoT Connectivity

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.

Authors: Masoud Asghari, Rafael Asorey-Cacheda

Journal: IEEE Sensors Journal

DOI: 10.1109/JSEN.2025.3594100

Funding: PID2023-148214OB-C21.

UPCT Repository: http://hdl.handle.net/10317/23011

Bibliometric indicators

JCR quartileQ1

Impact factor4.5

Google Scholar citations1

JCR area: Instruments & Instrumentation
JCR year: 2024
Scholar query: 21 May 2026

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.

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.

DOI UPCT Repository