An Optical Interferometer-based Force Sensor System for Enhancing Precision in Epidural Injection Procedure

Gichan Cho, Jintaek Im, Hyunjung Kwon, Cheol Song

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In minimally invasive pain management procedures, precise needle positioning is paramount for effective treatment and patient safety. Traditional techniques like the loss-of-resistance (LOR) method may be insufficient, especially in patients with narrowed epidural spaces. The use of imaging tools such as C-arms carries risks due to radiation exposure for medical professionals. A new system for detecting the epidural space based on optical interferometry is proposed to tackle this issue. Prior research has focused on force measurement systems to identify tissue puncture or rupture. Although mechanical sensors have been utilized, they add bulk and complexity to systems. Optical sensors like Fiber Bragg grating (FBG) and Fabry-Pérot interferometer (FPI) offer stable, high-resolution measurements suitable for complex biological tissues. This study aims to develop a sensor and needle system for epidural injections, incorporating quantitative metrics for validation. An optical interferometer-based force measurement sensor was integrated into a commercial epidural needle, and calibration was performed to establish a correlation between system output and actual force. The system employs a graphical user interface (GUI) to identify puncture points based on abrupt force decreases. A user study involving interventionalists assessed the system's performance by measuring invasive depth and success rates. The user study demonstrated that the proposed sensorized system could detect the puncture with an average success rate of 72.63 %. This study represents a significant advancement toward safer and more precise epidural procedures, addressing critical clinical considerations for practical applications.

Original languageEnglish
Title of host publication2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8393-8399
Number of pages7
ISBN (Electronic)9798350377705
DOIs
StatePublished - 2024
Event2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 - Abu Dhabi, United Arab Emirates
Duration: 14 Oct 202418 Oct 2024

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period14/10/2418/10/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

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