Survey on portable sensing technologies for the radial artery characterization.

medical device medical diagnostic and monitoring non-invasive measurement radial artery sensors

Journal

Physiological measurement
ISSN: 1361-6579
Titre abrégé: Physiol Meas
Pays: England
ID NLM: 9306921

Informations de publication

Date de publication:
16 Oct 2024
Historique:
received: 26 07 2024
accepted: 04 10 2024
medline: 16 10 2024
pubmed: 16 10 2024
entrez: 16 10 2024
Statut: epublish

Résumé

The radial artery, one of the terminal branches of the forearm, is utilized for vascular access and in various non-invasive measurement method, providing crucial medical insights. Various sensor technologies have been developed, each suited to specific characterization requirements. The work presented in this paper is based on a systematic literature review of the main publications relating to this topic. Analysis of the forearm vascular system complex array of anatomical structures shows that the radial artery can be characterized by its size, position, elasticity, tissue evaluation, blood flow and blood composition. The survey of medical procedures for patient monitoring, diagnosis and pre-operative validation shows the use of measures for pulse wave, blood pressure, heart rate, skin temperature, tissue response,…By exploring sensor technologies used for artery characterization, we produce a synthesis of measurement principles, measured phenomena and measurement accuracy for capacitive, piezoresistive, bioimpedance, thermography, fiber optic based, piezoelectric and photoacoustic sensors. A comparative study is conducted for sensor technologies by considering the metrics of the information to be collected and the associated accuracy as well as the portability, the complexity of the processing, the cost and the mode of contact with the arm. Finally, a comprehensive framework is proposed to facilitate informed decisions in the development of medical devices tailored to specific characterization needs.

Identifiants

pubmed: 39411783
doi: 10.1088/1361-6579/ad838d
doi:

Types de publication

Journal Article Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.

Auteurs

Aurélia Leandri (A)

MUniv Rouen Normandie, ESIGELEC, Normandie Univ, IRSEEM UR 4353, F-76000 Rouen, France.
ARTERYA, F-14200 Hérouville-Saint-Clair, France.

Louis Lecrosnier (L)

MUniv Rouen Normandie, ESIGELEC, Normandie Univ, IRSEEM UR 4353, F-76000 Rouen, France.

Adel Ghazel (A)

MUniv Rouen Normandie, ESIGELEC, Normandie Univ, IRSEEM UR 4353, F-76000 Rouen, France.

Bastien Faure (B)

ARTERYA, F-14200 Hérouville-Saint-Clair, France.

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Classifications MeSH