Combining Fiber Bragg Grating and Artificial Intelligence Technologies for Supporting Epidural Procedures.

Journal: IEEE transactions on bio-medical engineering
Published Date: Oct 25, 2024

Abstract

OBJECTIVE: Loss of resistance (LOR) is a widely accepted method for performing epidural punctures in clinical settings. However, the risk of failure associated with LOR is still high. Solutions based either on Fiber Bragg grating sensors (FBG) or on artificial intelligence (AI) are gaining ground for supporting clinicians during this kind of procedure. Here, for the first time, we combined the mentioned two technologies to perform an AI-driven LOR identification based on data collected by a custom FBG sensor.

Authors

  • Martina Pulcinelli
  • Federico D'Antoni
  • Daniela Lo Presti
    Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
  • Emiliano Schena
    Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
  • Massimiliano Carassiti
  • Francesca De Tommasi
  • Mario Merone
    Unit of Computer Systems an Bioinformatics, Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo 21, 00128, Rome, Italy. m.merone@unicampus.it.

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