FBG-based System for Loss of Resistance Detection During Epidural Injections

被引:0
|
作者
de Tommasi, Francesca [1 ]
Lo Presti, Daniela [1 ]
Massaroni, Carlo [1 ]
Schena, Emiliano [1 ]
Carassiti, Massimiliano [2 ]
机构
[1] Univ Campus Biomed Roma, Dept Fac Engn, Rome, Italy
[2] Univ Campus Biomed Roma, Sch Med, Rome, Italy
来源
2021 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (IEEE METROIND4.0 & IOT) | 2021年
关键词
Epidural puncture; LOR detection; fiber Bragg Grating sensors; pain management;
D O I
10.1109/METROIND4.0IOT51437.2021.9488533
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Epidural injection represents a widely accepted clinical practice in the management of pain relief caused by musculoskeletal disorders, labour and during surgery. The main purpose of this technique is to mitigate the painful feeling in the affected area by injecting anaesthetics and analgesics in the epidural space (the area between the ligamentum flavum and the dura mater). Correct epidural space detection is still challenging because of the small size, and the failure rate is not negligible. Including the existing techniques employed for identifying the epidural space, loss of resistance (LOR) is the most popular method used in clinical practice. It is based on the LOR feeling experienced by the anesthesiologist when the Tuohy needle moves from the ligamentum flavum to the epidural space due to the different density of these two tissues. In the last decades, several systems have been developed to support clinicians during the procedure. Recently, fiber Bragg grating sensors (FBG) have shown promising results for developing techniques able to detect the LOR. In this study, we proposed a novel FBG-based system for LOR detection during epidural puncture. We instrumented the syringe plunger with a flexible polymeric matrix. To assess its performance in LOR detection, we enrolled five users who performed the epidural procedure using a commercial simulator. The results obtained showed the ability of our system to detect LOR.
引用
收藏
页码:172 / 176
页数:5
相关论文
共 50 条
  • [41] Original Performance test and uncertainty analysis of the FBG-based pressure transmitter for liquid metal system
    Kim, Byeong-Yeon
    Lee, Jewhan
    Cho, Youngil
    Eoh, Jaehyuk
    Kim, Hyungmo
    NUCLEAR ENGINEERING AND TECHNOLOGY, 2022, 54 (12) : 4412 - 4421
  • [42] Detection of respiratory rate using a classifier of waves in the signal from a FBG-based vital signs sensor
    Krej, Mariusz
    Baran, Paulina
    Dziuda, Lukasz
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 177 : 31 - 38
  • [43] An FBG-based high-sensitivity structure and its application in non-intrusive detection of pipeline
    Wu, Lei
    Lu, Shunzhi
    Zhang, Heen
    Shu, Qiming
    Xiao, Wensheng
    MEASUREMENT, 2022, 199
  • [44] Etched FBG-Based Optical Fiber Sensor for Hg2+ Ion Detection in Aqueous Solution
    Mohan, Sunil
    Kumar, Nagendra
    IEEE PHOTONICS TECHNOLOGY LETTERS, 2024, 36 (21) : 1289 - 1292
  • [45] A hybrid sensing system for simultaneous Raman-based distributed and FBG-based quasi-distributed measurements
    Chen, Ke
    Zhou, Xinlei
    Peng, Wei
    Yu, Qingxu
    SENSORS AND ACTUATORS A-PHYSICAL, 2015, 234 : 43 - 47
  • [46] Few-pumped flat Raman fiber amplifier for parallel distributed FBG-based sensor system
    Yang, Jiuru
    Yang, Zhitao
    Liu, Chunyu
    OPTIK, 2016, 127 (03): : 1135 - 1138
  • [47] Real-time condition assessment of railway tunnel deformation using an FBG-based monitoring system
    Zhou, Lu
    Zhang, Chao
    Ni, Yi-Qing
    Wang, Chung-Yue
    SMART STRUCTURES AND SYSTEMS, 2018, 21 (05) : 537 - 548
  • [48] Wheel tread defect detection for high-speed trains using FBG-based online monitoring techniques
    Liu, Xiao-Zhou
    Ni, Yi-Qing
    SMART STRUCTURES AND SYSTEMS, 2018, 21 (05) : 687 - 694
  • [49] Original interrogation system for quasi-distributed FBG-based temperature sensor with fast demodulation technique
    Crunelle, Cathy
    Wuilpart, Marc
    Caucheteur, Christophe
    Megret, Patrice
    SENSORS AND ACTUATORS A-PHYSICAL, 2009, 150 (02) : 192 - 198
  • [50] Multi-scale load identification system based on distributed optical fiber and local FBG-based vibration sensors
    Zhang, Shihai
    He, Jianping
    Yu, Quanfu
    Wu, Xianshun
    OPTIK, 2020, 219